Methodology: the included graphs measure the accuracy of the forward and backward transforms: an array is generated with random uniform values between -0.5 and 0.5, and the results of its transform are compared with either pyfftw (in long double precision) if available, or scipy if available, or numpy fft. The L2 curve measures the average square norm difference, and the L∞ the maximum difference.
Note: for the R2C inverse transform, the result of the forward transform is used instead of re-using the random array (in order to have a proper half-Hermitian array), contrary to what is done for other transforms. This explains why the IFFT R2C maximum (L∞) errors are larger.
Note 2: some "errors" for DCT may be due to unsupported sizes in VkFFT, which vary depending on the card and language used (amount of shared/local memory). So they just indicate a current limit for the transform sizes rather than a real error.
[Click on the highlighted cells for details and accuracy graphs vs the transform size]
| GPU | backend | transform | ndim | range | radix | dtype | inplace | LUT | norm | time-duration | FAIL | ERROR |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| v100 | pycuda | Regular multi-dimensional C2C/R2C/R2R test | 2025-07-25 10h29:35 +02h 29m 18s | 0 | 0 | |||||||
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 12h58:54 +00h 02m 36s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 13h01:32 +00h 01m 28s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 13h03:02 +00h 05m 21s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 13h08:25 +00h 02m 51s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 13h11:18 +00h 01m 24s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 13h12:43 +00h 01m 32s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 13h14:17 +00h 02m 56s [ 1846 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 13h17:16 +00h 02m 08s [ 511 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 13h19:26 +00h 06m 23s [ 174 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 13h25:50 +00h 02m 55s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 13h28:47 +00h 01m 39s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 13h30:29 +00h 03m 41s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 13h34:12 +00h 02m 55s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 13h37:08 +00h 01m 39s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 13h38:49 +00h 03m 48s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 13h42:39 +00h 02m 52s [ 1504 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 13h45:33 +00h 01m 30s [ 401 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 13h47:04 +00h 02m 19s [ 132 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 13h49:25 +00h 07m 31s [ 1846 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 13h56:58 +00h 04m 13s [ 511 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 14h01:13 +00h 10m 26s [ 174 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 14h11:41 +00h 03m 02s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 14h14:44 +00h 01m 45s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 14h16:31 +00h 03m 47s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 14h20:20 +00h 03m 02s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 14h23:24 +00h 01m 44s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 14h25:10 +00h 03m 57s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 14h29:10 +00h 02m 55s [ 1504 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 14h32:07 +00h 01m 34s [ 401 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2025-07-25 14h33:43 +00h 02m 24s [ 132 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 14h36:09 +00h 03m 07s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 14h39:19 +00h 02m 01s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 14h41:22 +00h 14m 19s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 14h55:43 +00h 03m 22s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 14h59:07 +00h 01m 40s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 15h00:49 +00h 04m 49s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 15h05:40 +00h 03m 32s [ 1846 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 15h09:14 +00h 03m 35s [ 511 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 15h12:51 +00h 27m 33s [ 174 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 15h40:26 +00h 03m 31s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 15h43:59 +00h 01m 58s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 15h45:59 +00h 09m 04s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 15h55:05 +00h 03m 31s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 15h58:38 +00h 01m 59s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 16h00:38 +00h 08m 37s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 16h09:18 +00h 03m 04s [ 1504 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 16h12:24 +00h 01m 46s [ 401 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 16h14:11 +00h 04m 44s [ 132 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 16h18:57 +00h 08m 44s [ 1846 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 16h27:42 +00h 07m 16s [ 511 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 16h35:00 +00h 46m 49s [ 174 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 17h21:51 +00h 03m 38s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 17h25:31 +00h 02m 05s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 17h27:38 +00h 09m 19s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 17h36:59 +00h 03m 38s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 17h40:39 +00h 02m 03s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 17h42:44 +00h 09m 07s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 17h51:53 +00h 03m 07s [ 1504 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 17h55:02 +00h 01m 50s [ 401 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2025-07-25 17h56:55 +00h 04m 57s [ 132 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h01:54 +00h 02m 36s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h04:31 +00h 01m 26s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h06:00 +00h 02m 09s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h08:11 +00h 02m 53s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h11:05 +00h 01m 25s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h12:32 +00h 01m 15s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h13:49 +00h 02m 56s [ 1846 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h16:47 +00h 01m 35s [ 511 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h18:25 +00h 03m 47s [ 174 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h22:13 +00h 02m 55s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h25:11 +00h 01m 38s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h26:51 +00h 01m 38s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h28:31 +00h 02m 54s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h31:28 +00h 01m 38s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h33:08 +00h 01m 40s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h34:50 +00h 02m 52s [ 1504 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h37:43 +00h 01m 29s [ 401 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h39:15 +00h 01m 11s [ 132 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h40:28 +00h 07m 30s [ 1846 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h48:00 +00h 03m 09s [ 511 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h51:11 +00h 06m 23s [ 174 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 18h57:36 +00h 03m 02s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 19h00:39 +00h 01m 44s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 19h02:25 +00h 01m 46s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 19h04:13 +00h 03m 01s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 19h07:17 +00h 01m 44s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 19h09:03 +00h 01m 43s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 19h10:47 +00h 02m 55s [ 1504 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 19h13:44 +00h 01m 34s [ 401 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2025-07-25 19h15:20 +00h 01m 17s [ 132 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 19h16:40 +00h 03m 07s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 19h19:49 +00h 01m 47s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 19h21:38 +00h 05m 34s [ 168 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 19h27:13 +00h 03m 23s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 19h30:39 +00h 01m 38s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 19h32:19 +00h 02m 05s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 19h34:26 +00h 03m 32s [ 1846 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 19h38:00 +00h 02m 04s [ 511 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 19h40:06 +00h 08m 43s [ 174 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 19h48:52 +00h 03m 31s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 19h52:25 +00h 01m 47s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 19h54:13 +00h 04m 41s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 19h58:56 +00h 03m 31s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 20h02:29 +00h 01m 46s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 20h04:17 +00h 05m 00s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 20h09:19 +00h 03m 04s [ 1504 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 20h12:24 +00h 01m 36s [ 401 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 20h14:02 +00h 02m 46s [ 132 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 20h16:50 +00h 08m 43s [ 1846 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 20h25:35 +00h 04m 07s [ 511 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 20h29:44 +00h 15m 49s [ 174 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 20h45:34 +00h 03m 38s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 20h49:14 +00h 01m 52s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 20h51:09 +00h 04m 51s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 20h56:02 +00h 03m 37s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 20h59:41 +00h 01m 53s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 21h01:36 +00h 05m 03s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 21h06:41 +00h 03m 07s [ 1504 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 21h09:49 +00h 01m 41s [ 401 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2025-07-25 21h11:32 +00h 02m 59s [ 132 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 21h14:33 +00h 02m 43s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 21h17:18 +00h 01m 32s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 21h18:51 +00h 05m 00s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 21h23:53 +00h 02m 58s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 21h26:54 +00h 01m 27s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 21h28:23 +00h 01m 34s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 21h29:58 +00h 03m 06s [ 1846 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 21h33:06 +00h 02m 14s [ 511 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 21h35:22 +00h 06m 29s [ 174 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 21h41:53 +00h 03m 07s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 21h45:02 +00h 01m 43s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 21h46:48 +00h 03m 45s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 21h50:34 +00h 03m 07s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 21h53:43 +00h 01m 44s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 21h55:29 +00h 03m 44s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 21h59:14 +00h 02m 59s [ 1504 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 22h02:15 +00h 01m 32s [ 401 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 22h03:50 +00h 02m 20s [ 132 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 22h06:12 +00h 07m 37s [ 1846 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 22h13:51 +00h 04m 17s [ 511 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 22h18:10 +00h 10m 22s [ 174 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 22h28:33 +00h 03m 14s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 22h31:49 +00h 01m 49s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 22h33:41 +00h 03m 57s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 22h37:40 +00h 03m 14s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 22h40:55 +00h 01m 50s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 22h42:47 +00h 03m 58s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 22h46:47 +00h 03m 03s [ 1504 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 22h49:52 +00h 01m 37s [ 401 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2025-07-25 22h51:31 +00h 02m 28s [ 132 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 22h54:00 +00h 02m 43s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 22h56:46 +00h 01m 30s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 22h58:18 +00h 01m 59s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h00:19 +00h 03m 00s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h03:21 +00h 01m 28s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h04:51 +00h 01m 16s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h06:09 +00h 03m 06s [ 1846 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h09:18 +00h 01m 39s [ 511 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h10:58 +00h 03m 52s [ 174 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h14:52 +00h 03m 07s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h18:01 +00h 01m 43s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h19:46 +00h 01m 43s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h21:31 +00h 03m 07s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h24:40 +00h 01m 42s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h26:24 +00h 01m 39s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h28:05 +00h 02m 59s [ 1504 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h31:06 +00h 01m 32s [ 401 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h32:40 +00h 01m 12s [ 132 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h33:54 +00h 07m 37s [ 1846 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h41:32 +00h 03m 12s [ 511 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h44:46 +00h 06m 28s [ 174 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h51:17 +00h 03m 14s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h54:32 +00h 01m 49s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h56:23 +00h 01m 46s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-25 23h58:11 +00h 03m 14s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-26 00h01:26 +00h 01m 48s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-26 00h03:16 +00h 01m 44s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-26 00h05:02 +00h 03m 02s [ 1504 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-26 00h08:06 +00h 01m 37s [ 401 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2025-07-26 00h09:45 +00h 01m 19s [ 132 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2025-07-26 00h11:05 +00h 02m 35s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2025-07-26 00h13:42 +00h 01m 28s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2025-07-26 00h15:12 +00h 05m 21s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2025-07-26 00h20:35 +00h 02m 51s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2025-07-26 00h23:27 +00h 01m 23s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2025-07-26 00h24:52 +00h 01m 30s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2025-07-26 00h26:24 +00h 03m 07s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2025-07-26 00h29:32 +00h 02m 05s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2025-07-26 00h31:39 +00h 14m 37s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2025-07-26 00h46:18 +00h 03m 21s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2025-07-26 00h49:41 +00h 01m 40s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2025-07-26 00h51:23 +00h 04m 53s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2025-07-26 00h56:19 +00h 02m 35s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2025-07-26 00h58:56 +00h 01m 25s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2025-07-26 01h00:23 +00h 02m 13s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2025-07-26 01h02:38 +00h 02m 52s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2025-07-26 01h05:32 +00h 01m 25s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2025-07-26 01h06:58 +00h 01m 14s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2025-07-26 01h08:14 +00h 03m 07s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2025-07-26 01h11:23 +00h 01m 47s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2025-07-26 01h13:12 +00h 05m 59s [ 168 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2025-07-26 01h19:13 +00h 03m 23s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2025-07-26 01h22:37 +00h 01m 39s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2025-07-26 01h24:18 +00h 02m 06s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2025-07-26 01h26:26 +00h 02m 43s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2025-07-26 01h29:11 +00h 01m 32s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2025-07-26 01h30:45 +00h 05m 23s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2025-07-26 01h36:09 +00h 02m 58s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2025-07-26 01h39:09 +00h 01m 26s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2025-07-26 01h40:37 +00h 01m 32s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2025-07-26 01h42:11 +00h 02m 43s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2025-07-26 01h44:55 +00h 01m 29s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2025-07-26 01h46:26 +00h 02m 07s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2025-07-26 01h48:35 +00h 02m 59s [ 1847 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2025-07-26 01h51:37 +00h 01m 28s [ 512 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2025-07-26 01h53:06 +00h 01m 16s [ 175 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 01h54:24 +00h 28m 39s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 02h23:05 +00h 37m 57s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 03h01:04 +00h 41m 15s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 03h42:21 +00h 28m 51s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 04h11:14 +00h 25m 56s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 04h37:12 +00h 14m 45s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 04h52:00 +00h 31m 17s [ 9268 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 05h23:19 +01h 13m 00s [ 3988 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 06h36:21 +01h 46m 49s [ 375 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 08h23:12 +00h 30m 52s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 08h54:06 +00h 38m 51s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 09h32:59 +00h 29m 45s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 10h02:46 +00h 30m 51s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 10h33:39 +00h 38m 50s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 11h12:31 +00h 28m 58s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-10000 | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 11h41:31 +00h 35m 04s [ 9417 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 12h16:37 +00h 43m 48s [ 4097 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 13h00:27 +00h 33m 49s [ 416 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 13h34:17 +00h 30m 46s [ 9268 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 14h05:05 +01h 10m 42s [ 3988 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 15h15:50 +01h 36m 06s [ 375 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 16h51:58 +00h 31m 40s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 17h23:40 +00h 39m 55s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 18h03:37 +00h 29m 34s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 18h33:13 +00h 31m 41s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 19h04:56 +00h 39m 49s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 19h44:47 +00h 30m 05s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-10000 | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 20h14:54 +00h 35m 42s [ 9417 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 20h50:38 +00h 45m 04s [ 4097 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 1 | 2025-07-26 21h35:44 +00h 35m 13s [ 416 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-26 22h10:59 +00h 31m 40s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-26 22h42:41 +01h 06m 35s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-26 23h49:17 +03h 18m 16s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-27 03h07:36 +00h 31m 13s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-27 03h38:51 +00h 31m 41s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-27 04h10:34 +00h 37m 50s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-27 04h48:26 +00h 35m 08s [ 9268 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-27 05h23:35 +02h 19m 08s [ 3988 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-510 (N,N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-27 09h30:02 +02h 05m 21s [ 342 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-27 11h35:27 +00h 33m 33s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-27 12h09:03 +01h 03m 52s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-27 13h12:57 +02h 10m 39s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-27 15h23:38 +00h 33m 32s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-27 15h57:12 +01h 04m 09s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-27 17h01:23 +02h 11m 11s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-10000 | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-27 19h12:36 +00h 36m 25s [ 9417 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-27 19h49:03 +01h 08m 58s [ 4097 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-27 20h58:03 +02h 25m 13s [ 416 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-27 23h23:18 +00h 34m 42s [ 9268 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-27 23h58:03 +02h 14m 35s [ 3988 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-510 (N,N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-28 02h12:40 +01h 52m 26s [ 342 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-28 04h05:09 +00h 34m 10s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-28 04h39:21 +01h 04m 39s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-28 05h44:03 +02h 12m 01s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-28 07h56:06 +00h 34m 11s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-28 08h30:19 +01h 05m 28s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-28 09h35:49 +02h 14m 32s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-10000 | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-28 11h50:36 +00h 36m 58s [ 9417 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-28 12h27:36 +01h 10m 47s [ 4097 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 1 | 2025-07-28 13h38:25 +02h 30m 13s [ 416 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-28 16h08:39 +00h 28m 37s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-28 16h37:19 +00h 27m 46s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-28 17h05:07 +00h 22m 26s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-28 17h27:35 +00h 28m 53s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-28 17h56:30 +00h 26m 17s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-28 18h22:49 +00h 06m 32s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-28 18h29:22 +00h 31m 17s [ 9268 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-28 19h00:41 +00h 41m 20s [ 3988 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-28 19h42:03 +00h 35m 19s [ 375 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-28 20h17:23 +00h 30m 50s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-28 20h48:15 +00h 28m 23s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-28 21h16:40 +00h 17m 00s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-28 21h33:42 +00h 30m 52s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-28 22h04:35 +00h 28m 18s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-28 22h32:55 +00h 16m 44s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-10000 | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-28 22h49:42 +00h 35m 05s [ 9417 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-28 23h24:49 +00h 32m 08s [ 4097 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-28 23h57:00 +00h 19m 01s [ 416 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-29 00h16:03 +00h 30m 46s [ 9268 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-29 00h46:51 +00h 40m 03s [ 3988 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-29 01h26:56 +00h 31m 21s [ 375 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-29 01h58:19 +00h 31m 40s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-29 02h30:01 +00h 29m 08s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-29 02h59:11 +00h 16m 20s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-29 03h15:33 +00h 31m 40s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-29 03h47:15 +00h 29m 08s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-29 04h16:25 +00h 17m 12s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-10000 | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-29 04h33:39 +00h 35m 51s [ 9417 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-29 05h09:40 +00h 32m 58s [ 4097 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein/Rader | float32 | inplace | Auto | 1 | 2025-07-29 05h42:40 +00h 19m 37s [ 416 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 06h02:19 +00h 31m 40s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 06h34:01 +00h 36m 06s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 07h10:10 +00h 48m 45s [ 343 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 08h29:44 +00h 31m 26s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 09h01:11 +00h 28m 55s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 09h30:08 +00h 22m 09s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 09h52:19 +00h 35m 20s [ 9268 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 10h27:41 +01h 16m 10s [ 3988 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 11h43:52 +02h 47m 08s [ 375 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 14h31:03 +00h 33m 33s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 15h04:38 +00h 34m 47s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 15h39:28 +00h 42m 46s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 16h22:16 +00h 33m 37s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 16h55:55 +00h 34m 45s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 17h30:43 +00h 43m 06s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-10000 | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 18h13:50 +00h 36m 25s [ 9417 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 18h50:17 +00h 37m 41s [ 4097 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 19h28:00 +00h 49m 12s [ 416 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 20h17:14 +00h 34m 43s [ 9268 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 20h51:59 +01h 13m 35s [ 3988 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-29 22h05:36 +02h 28m 58s [ 375 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-30 00h34:36 +00h 34m 13s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-30 01h08:51 +00h 35m 32s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-30 01h44:24 +00h 43m 54s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-30 02h28:20 +00h 34m 12s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-30 03h02:34 +00h 35m 34s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-30 03h38:10 +00h 42m 21s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-10000 | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-30 04h20:32 +00h 36m 57s [ 9417 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-30 04h57:31 +00h 38m 30s [ 4097 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein/Rader | float64 | inplace | Auto | 1 | 2025-07-30 05h36:03 +00h 49m 53s [ 416 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 06h25:58 +00h 29m 02s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 06h55:02 +00h 38m 32s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 07h33:36 +00h 41m 23s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 08h15:01 +00h 29m 17s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 08h44:20 +00h 26m 22s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 09h10:44 +00h 14m 35s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 09h25:21 +00h 31m 47s [ 9268 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 09h57:10 +01h 13m 55s [ 3988 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 11h11:15 +01h 45m 31s [ 375 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 12h56:48 +00h 31m 21s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 13h28:11 +00h 39m 31s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 14h07:44 +00h 29m 32s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 14h37:18 +00h 31m 23s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 15h08:43 +00h 39m 38s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 15h48:23 +00h 28m 42s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-10000 | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 16h17:07 +00h 35m 34s [ 9417 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 16h52:43 +00h 44m 32s [ 4097 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 17h37:17 +00h 33m 11s [ 416 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 18h10:30 +00h 31m 20s [ 9268 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 18h41:52 +01h 11m 57s [ 3988 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 19h53:51 +01h 35m 41s [ 375 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 21h29:33 +00h 32m 12s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 22h01:47 +00h 40m 38s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 22h42:26 +00h 29m 59s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 23h12:28 +00h 32m 12s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-30 23h44:42 +00h 40m 34s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-31 00h25:18 +00h 30m 16s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-10000 | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-31 00h55:36 +00h 36m 11s [ 9417 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-31 01h31:50 +00h 45m 43s [ 4097 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | True | 1 | 2025-07-31 02h17:35 +00h 35m 13s [ 416 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 02h52:50 +00h 29m 02s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 03h21:54 +00h 28m 11s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 03h50:08 +00h 22m 53s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 04h13:02 +00h 29m 18s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 04h42:23 +00h 26m 37s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 05h09:01 +00h 06m 31s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 05h15:34 +00h 31m 49s [ 9268 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 05h47:25 +00h 41m 55s [ 3988 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 06h29:22 +00h 35m 12s [ 375 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 07h29:48 +00h 31m 33s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 08h01:23 +00h 29m 01s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 08h30:27 +00h 17m 04s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 08h47:33 +00h 31m 23s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 09h18:58 +00h 28m 56s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 09h47:56 +00h 16m 51s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-10000 | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 10h04:49 +00h 35m 35s [ 9417 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 10h40:26 +00h 32m 42s [ 4097 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 11h13:09 +00h 18m 48s [ 416 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 11h31:59 +00h 31m 18s [ 9268 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 12h03:19 +00h 40m 43s [ 3988 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 12h44:04 +00h 32m 01s [ 375 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 13h16:07 +00h 32m 10s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 13h48:20 +00h 29m 34s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 14h17:55 +00h 17m 20s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 14h35:17 +00h 32m 11s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 15h07:31 +00h 29m 37s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 15h37:10 +00h 16m 56s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 3-10000 | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 15h54:08 +00h 36m 09s [ 9417 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 3-4500 (N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 16h30:19 +00h 33m 29s [ 4097 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein/Rader | float32 | inplace | True | 1 | 2025-07-31 17h03:50 +00h 20m 30s [ 416 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | Auto | 0 | 2025-07-31 17h24:22 +00h 28m 36s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 0 | 2025-07-31 17h53:01 +00h 37m 52s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 0 | 2025-07-31 18h30:55 +00h 40m 16s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | Auto | 0 | 2025-07-31 19h11:12 +00h 28m 48s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 0 | 2025-07-31 19h40:02 +00h 25m 52s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | Auto | 0 | 2025-07-31 20h05:56 +00h 14m 49s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | out-of-place | Auto | 0 | 2025-07-31 20h20:48 +00h 31m 38s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 0 | 2025-07-31 20h52:28 +01h 07m 15s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 0 | 2025-07-31 21h59:45 +03h 14m 33s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | out-of-place | Auto | 0 | 2025-08-01 01h14:20 +00h 31m 08s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 0 | 2025-08-01 01h45:30 +00h 31m 37s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float64 | out-of-place | Auto | 0 | 2025-08-01 02h17:10 +00h 39m 24s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | Auto | 0 | 2025-08-01 02h56:36 +00h 28m 36s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | Auto | 0 | 2025-08-01 03h25:14 +00h 27m 46s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | Auto | 0 | 2025-08-01 03h53:02 +00h 22m 02s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | Auto | 0 | 2025-08-01 04h15:06 +00h 28m 51s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | Auto | 0 | 2025-08-01 04h43:59 +00h 26m 11s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | Auto | 0 | 2025-08-01 05h10:12 +00h 06m 31s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | inplace | Auto | 0 | 2025-08-01 05h16:45 +00h 31m 38s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | inplace | Auto | 0 | 2025-08-01 05h48:25 +00h 36m 11s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float64 | inplace | Auto | 0 | 2025-08-01 06h24:38 +00h 48m 34s [ 343 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float64 | inplace | Auto | 0 | 2025-08-01 07h13:14 +00h 31m 10s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float64 | inplace | Auto | 0 | 2025-08-01 07h44:25 +00h 28m 43s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float64 | inplace | Auto | 0 | 2025-08-01 08h13:11 +00h 22m 00s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | True | 0 | 2025-08-01 08h35:12 +00h 29m 01s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | True | 0 | 2025-08-01 09h04:16 +00h 38m 26s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | True | 0 | 2025-08-01 09h42:44 +00h 41m 13s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | out-of-place | True | 0 | 2025-08-01 10h23:59 +00h 29m 15s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | out-of-place | True | 0 | 2025-08-01 10h53:16 +00h 26m 26s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | out-of-place | True | 0 | 2025-08-01 11h19:44 +00h 14m 28s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | True | 0 | 2025-08-01 11h34:14 +00h 29m 01s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | True | 0 | 2025-08-01 12h03:17 +00h 28m 06s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | True | 0 | 2025-08-01 12h31:25 +00h 22m 41s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 1 | 2-10000 | Bluestein/Rader | float32 | inplace | True | 0 | 2025-08-01 12h54:08 +00h 29m 16s [ 9267 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 (N,N) | Bluestein/Rader | float32 | inplace | True | 0 | 2025-08-01 13h23:26 +00h 26m 41s [ 3987 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein/Rader | float32 | inplace | True | 0 | 2025-08-01 13h50:09 +00h 06m 37s [ 374 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-01 13h56:47 +00h 07m 15s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-01 14h04:05 +00h 07m 33s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-01 14h11:40 +00h 07m 30s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-01 14h19:12 +00h 09m 35s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-01 14h28:49 +00h 10m 24s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-01 14h39:15 +00h 10m 39s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-01 14h49:56 +00h 10m 24s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-01 15h00:22 +00h 10m 53s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-01 15h11:16 +00h 06m 47s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-01 15h18:06 +00h 07m 02s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-01 15h25:10 +00h 06m 50s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-01 15h32:02 +00h 08m 17s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-01 15h40:21 +00h 11m 06s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-01 15h51:29 +00h 11m 20s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-01 16h02:52 +00h 11m 06s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-01 16h14:00 +00h 11m 30s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-01 16h25:32 +00h 08m 08s [ 2731 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-01 16h33:42 +00h 08m 27s [ 2731 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-01 16h42:11 +00h 07m 58s [ 2731 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-01 16h50:12 +00h 10m 22s [ 2731 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-01 17h00:35 +00h 12m 10s [ 5823 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-01 17h12:48 +00h 12m 33s [ 5823 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-01 17h25:23 +00h 12m 10s [ 5823 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-01 17h37:35 +00h 12m 45s [ 5823 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-01 17h50:22 +00h 08m 17s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-01 17h58:41 +00h 08m 33s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-01 18h07:16 +00h 08m 09s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-01 18h15:27 +00h 09m 12s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-01 18h24:41 +00h 12m 55s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-01 18h37:38 +00h 13m 14s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-01 18h50:55 +00h 12m 54s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-01 19h03:51 +00h 13m 27s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-01 19h17:20 +00h 08m 13s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-01 19h25:35 +00h 08m 36s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-01 19h34:12 +00h 08m 08s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-01 19h42:23 +00h 09m 11s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-01 19h51:36 +00h 12m 55s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-01 20h04:34 +00h 13m 15s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-01 20h17:51 +00h 12m 55s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-01 20h30:48 +00h 13m 28s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-01 20h44:17 +00h 04m 56s [ 1492 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-01 20h49:15 +00h 05m 05s [ 1492 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-01 20h54:22 +00h 04m 55s [ 1492 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-01 20h59:19 +00h 05m 10s [ 1492 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-01 21h04:31 +00h 11m 26s [ 3858 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-01 21h16:00 +00h 11m 40s [ 3858 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-01 21h27:42 +00h 11m 27s [ 3858 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-01 21h39:11 +00h 11m 54s [ 3858 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-01 21h51:08 +00h 16m 47s [ 2731 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-01 22h07:57 +00h 17m 05s [ 2731 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-01 22h25:04 +00h 16m 44s [ 2731 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-01 22h41:50 +00h 20m 00s [ 2731 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-01 23h01:51 +00h 16m 12s [ 5823 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-01 23h18:06 +00h 16m 40s [ 5823 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-01 23h34:48 +00h 16m 12s [ 5823 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-01 23h51:01 +00h 17m 01s [ 5823 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-02 00h08:05 +00h 08m 40s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-02 00h16:47 +00h 09m 03s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-02 00h25:53 +00h 08m 36s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-02 00h34:30 +00h 09m 36s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-02 00h44:09 +00h 13m 43s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-02 00h57:53 +00h 14m 03s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-02 01h11:59 +00h 13m 42s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-02 01h25:43 +00h 14m 21s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-02 01h40:05 +00h 08m 40s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-02 01h48:47 +00h 09m 02s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-02 01h57:51 +00h 08m 36s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-02 02h06:29 +00h 09m 38s [ 2740 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-02 02h16:09 +00h 13m 45s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-02 02h29:57 +00h 14m 03s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-02 02h44:01 +00h 13m 42s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-02 02h57:45 +00h 14m 20s [ 5848 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-02 03h12:07 +00h 05m 13s [ 1492 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-02 03h17:22 +00h 05m 23s [ 1492 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-02 03h22:48 +00h 05m 14s [ 1492 tests] | 0 | 0 | |
| v100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-02 03h28:03 +00h 05m 29s [ 1492 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2025-08-02 03h33:35 +00h 12m 10s [ 3858 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2025-08-02 03h45:47 +00h 12m 23s [ 3858 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2025-08-02 03h58:12 +00h 12m 10s [ 3858 tests] | 0 | 0 | |
| v100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2025-08-02 04h10:25 +00h 12m 42s [ 3858 tests] | 0 | 0 | |