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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
a100 | pycuda | Regular multi-dimensional C2C/R2C/R2R test | 2023-12-08 17h31:31 +00h 28m 27s | 0 | 0 | |||||||
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 17h59:59 +00h 01m 04s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h01:04 +00h 00m 39s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h01:44 +00h 01m 01s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h02:46 +00h 01m 08s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h03:56 +00h 00m 33s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h04:30 +00h 00m 32s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h05:03 +00h 02m 49s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h07:53 +00h 01m 20s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h09:14 +00h 01m 16s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h10:32 +00h 01m 06s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h11:38 +00h 00m 35s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h12:15 +00h 00m 37s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h12:53 +00h 01m 06s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h14:00 +00h 00m 35s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h14:36 +00h 00m 37s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h15:14 +00h 01m 24s [ 1846 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h16:39 +00h 00m 42s [ 511 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h17:23 +00h 00m 40s [ 174 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h18:04 +00h 02m 49s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h20:55 +00h 01m 17s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h22:13 +00h 01m 11s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h23:25 +00h 01m 08s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h24:35 +00h 00m 36s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h25:12 +00h 00m 37s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h25:50 +00h 01m 08s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h27:00 +00h 00m 37s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h27:37 +00h 00m 37s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h28:16 +00h 01m 26s [ 1846 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h29:43 +00h 00m 44s [ 511 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h30:28 +00h 00m 42s [ 174 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h31:11 +00h 01m 07s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h32:19 +00h 00m 53s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h33:14 +00h 03m 13s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h36:29 +00h 01m 14s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h37:44 +00h 00m 39s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h38:23 +00h 00m 58s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h39:22 +00h 03m 03s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h42:26 +00h 01m 28s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h43:55 +00h 02m 59s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h46:55 +00h 01m 15s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h48:10 +00h 00m 38s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h48:50 +00h 01m 17s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h50:09 +00h 01m 15s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h51:25 +00h 00m 38s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h52:04 +00h 01m 17s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h53:22 +00h 01m 21s [ 1846 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h54:44 +00h 00m 46s [ 511 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h55:31 +00h 01m 26s [ 174 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h56:58 +00h 03m 03s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h00:02 +00h 01m 23s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h01:26 +00h 03m 00s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h04:28 +00h 01m 16s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h05:45 +00h 00m 40s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h06:26 +00h 01m 19s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h07:46 +00h 01m 18s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h09:05 +00h 00m 40s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h09:46 +00h 01m 19s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h11:07 +00h 01m 22s [ 1846 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h12:30 +00h 00m 47s [ 511 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h13:19 +00h 01m 30s [ 174 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h14:50 +00h 01m 01s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h15:53 +00h 00m 39s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h16:32 +00h 00m 53s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h17:26 +00h 01m 09s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h18:36 +00h 00m 33s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h19:11 +00h 00m 33s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h19:44 +00h 02m 50s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h22:36 +00h 01m 21s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h23:59 +00h 01m 04s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h25:04 +00h 01m 06s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h26:11 +00h 00m 35s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h26:47 +00h 00m 32s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h27:20 +00h 01m 06s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h28:27 +00h 00m 35s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h29:03 +00h 00m 32s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h29:36 +00h 01m 24s [ 1846 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h31:02 +00h 00m 42s [ 511 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h31:45 +00h 00m 35s [ 174 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h32:21 +00h 02m 49s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h35:12 +00h 01m 17s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h36:31 +00h 01m 00s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h37:32 +00h 01m 11s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h38:44 +00h 00m 37s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h39:22 +00h 00m 33s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h39:55 +00h 01m 08s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h41:05 +00h 00m 37s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h41:43 +00h 00m 32s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h42:17 +00h 01m 26s [ 1846 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h43:44 +00h 00m 44s [ 511 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h44:30 +00h 00m 36s [ 174 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h45:07 +00h 01m 08s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h46:16 +00h 00m 53s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h47:10 +00h 01m 34s [ 168 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h48:45 +00h 01m 14s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h50:00 +00h 00m 39s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h50:41 +00h 00m 50s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h51:32 +00h 03m 03s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h54:36 +00h 01m 27s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h56:04 +00h 01m 56s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h58:01 +00h 01m 14s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h59:16 +00h 00m 38s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 19h59:55 +00h 00m 51s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h00:47 +00h 01m 14s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h02:02 +00h 00m 38s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h02:42 +00h 00m 51s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h03:33 +00h 01m 21s [ 1846 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h04:56 +00h 00m 46s [ 511 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h05:42 +00h 00m 55s [ 174 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h06:38 +00h 03m 02s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h09:42 +00h 01m 23s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h11:06 +00h 01m 50s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h12:57 +00h 01m 16s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h14:14 +00h 00m 40s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h14:55 +00h 00m 52s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h15:48 +00h 01m 16s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h17:05 +00h 00m 40s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h17:46 +00h 00m 52s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h18:39 +00h 01m 23s [ 1846 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h20:03 +00h 00m 47s [ 511 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h20:51 +00h 00m 56s [ 174 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h21:49 +00h 01m 02s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h22:51 +00h 00m 40s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h23:33 +00h 01m 03s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h24:37 +00h 01m 11s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h25:49 +00h 00m 34s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h26:24 +00h 00m 33s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h26:58 +00h 02m 50s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h29:49 +00h 01m 21s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h31:11 +00h 01m 18s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h32:30 +00h 01m 09s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h33:40 +00h 00m 37s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h34:17 +00h 00m 36s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h34:55 +00h 01m 09s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h36:05 +00h 00m 37s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h36:42 +00h 00m 36s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h37:20 +00h 01m 26s [ 1846 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h38:47 +00h 00m 43s [ 511 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h39:31 +00h 00m 42s [ 174 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h40:14 +00h 02m 51s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h43:06 +00h 01m 18s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h44:25 +00h 01m 12s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h45:38 +00h 01m 11s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h46:50 +00h 00m 38s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h47:29 +00h 00m 39s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h48:10 +00h 01m 13s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h49:24 +00h 00m 38s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h50:04 +00h 00m 38s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h50:43 +00h 01m 28s [ 1846 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h52:13 +00h 00m 45s [ 511 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 20h52:59 +00h 00m 43s [ 174 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h53:43 +00h 01m 02s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h54:46 +00h 00m 40s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h55:28 +00h 00m 55s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h56:24 +00h 01m 11s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h57:36 +00h 00m 34s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h58:12 +00h 00m 34s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 20h58:47 +00h 02m 50s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h01:38 +00h 01m 20s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h02:59 +00h 01m 06s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h04:07 +00h 01m 09s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h05:19 +00h 00m 37s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h05:57 +00h 00m 32s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h06:30 +00h 01m 09s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h07:40 +00h 00m 36s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h08:17 +00h 00m 32s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h08:50 +00h 01m 27s [ 1846 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h10:18 +00h 00m 43s [ 511 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h11:02 +00h 00m 36s [ 174 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h11:39 +00h 02m 51s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h14:31 +00h 01m 17s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h15:50 +00h 01m 01s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h16:52 +00h 01m 11s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h18:04 +00h 00m 38s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h18:43 +00h 00m 33s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h19:17 +00h 01m 11s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h20:29 +00h 00m 38s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h21:09 +00h 00m 32s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h21:42 +00h 01m 27s [ 1846 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h23:11 +00h 00m 45s [ 511 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h23:57 +00h 00m 36s [ 174 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-08 21h24:34 +00h 01m 00s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-08 21h25:35 +00h 00m 38s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-08 21h26:15 +00h 01m 01s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-08 21h27:17 +00h 01m 09s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-08 21h28:28 +00h 00m 33s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-08 21h29:02 +00h 00m 32s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-08 21h29:35 +00h 01m 07s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-08 21h30:43 +00h 00m 53s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-08 21h31:38 +00h 03m 12s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-08 21h34:51 +00h 01m 13s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-08 21h36:05 +00h 00m 39s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-08 21h36:46 +00h 00m 57s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-08 21h37:44 +00h 01m 00s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-08 21h38:46 +00h 00m 38s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-08 21h39:25 +00h 00m 53s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-08 21h40:20 +00h 01m 09s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-08 21h41:30 +00h 00m 34s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-08 21h42:05 +00h 00m 32s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-08 21h42:38 +00h 01m 08s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-08 21h43:48 +00h 00m 53s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-08 21h44:42 +00h 01m 34s [ 168 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-08 21h46:19 +00h 01m 13s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-08 21h47:33 +00h 00m 39s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-08 21h48:13 +00h 00m 50s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-08 21h49:04 +00h 01m 02s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-08 21h50:07 +00h 00m 40s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-08 21h50:48 +00h 01m 03s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-08 21h51:54 +00h 01m 11s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-08 21h53:06 +00h 00m 34s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-08 21h53:42 +00h 00m 32s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-08 21h54:15 +00h 01m 02s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-08 21h55:18 +00h 00m 40s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-08 21h55:59 +00h 00m 55s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-08 21h56:55 +00h 01m 11s [ 1847 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-08 21h58:07 +00h 00m 34s [ 512 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-08 21h58:42 +00h 00m 33s [ 175 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 21h59:17 +00h 13m 10s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 22h12:27 +00h 11m 08s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 22h23:36 +00h 03m 53s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 22h27:31 +00h 13m 29s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 22h41:01 +00h 09m 51s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 22h50:53 +00h 01m 54s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 22h52:48 +00h 13m 04s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 23h05:53 +00h 11m 05s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 23h16:59 +00h 02m 51s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 23h19:51 +00h 14m 14s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 23h34:06 +00h 10m 23s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 23h44:30 +00h 02m 34s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 23h47:06 +00h 14m 14s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 00h01:21 +00h 10m 24s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 00h11:46 +00h 02m 33s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 00h14:20 +00h 14m 44s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 00h29:05 +00h 10m 58s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 00h40:05 +00h 02m 40s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 00h42:46 +00h 13m 13s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 00h56:00 +00h 11m 08s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 01h07:10 +00h 02m 48s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 01h09:59 +00h 14m 39s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 01h24:39 +00h 10m 37s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 01h35:17 +00h 02m 38s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 01h37:56 +00h 14m 38s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 01h52:35 +00h 10m 38s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 02h03:14 +00h 02m 37s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 02h05:52 +00h 15m 07s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 02h21:00 +00h 11m 14s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 02h32:15 +00h 02m 43s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 02h35:00 +00h 11m 30s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 02h46:31 +00h 14m 28s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 03h00:59 +00h 13m 40s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 03h14:41 +00h 11m 51s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 03h26:33 +00h 11m 01s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 03h37:35 +00h 03m 49s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 03h41:25 +00h 12m 05s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 03h53:31 +00h 12m 34s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 04h06:06 +00h 07m 31s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 04h13:38 +00h 12m 13s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 04h25:52 +00h 11m 11s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 04h37:04 +00h 06m 38s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 04h43:43 +00h 12m 12s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 04h55:56 +00h 11m 10s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 05h07:07 +00h 06m 39s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 05h13:48 +00h 13m 26s [ 9267 tests] | 0 | ||
a100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 05h27:15 +00h 11m 39s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 05h38:56 +00h 06m 40s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 05h45:37 +00h 12m 15s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 05h57:53 +00h 12m 38s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 06h10:32 +00h 07m 26s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 06h18:00 +00h 12m 31s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 06h30:32 +00h 11m 23s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 06h41:57 +00h 06m 48s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 06h48:45 +00h 12m 30s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 07h01:17 +00h 11m 24s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 07h12:42 +00h 06m 48s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 07h19:31 +00h 13m 42s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 07h33:15 +00h 11m 55s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 07h45:11 +00h 06m 48s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 07h52:01 +00h 13m 04s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 08h05:06 +00h 11m 06s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 08h16:13 +00h 03m 09s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 08h19:24 +00h 13m 25s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 08h32:50 +00h 09m 49s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 08h42:41 +00h 01m 56s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 08h44:38 +00h 13m 02s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 08h57:41 +00h 11m 03s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 09h08:45 +00h 02m 07s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 09h10:54 +00h 14m 12s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 09h25:07 +00h 10m 22s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 09h35:31 +00h 02m 01s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 09h37:33 +00h 14m 12s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 09h51:46 +00h 10m 23s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 10h02:10 +00h 02m 01s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 10h04:12 +00h 14m 43s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 10h18:56 +00h 10m 56s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 10h29:53 +00h 02m 05s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 10h32:00 +00h 13m 09s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 10h45:11 +00h 11m 07s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 10h56:19 +00h 02m 11s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 10h58:31 +00h 14m 36s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 11h13:08 +00h 10m 35s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 11h23:44 +00h 02m 02s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 11h25:48 +00h 14m 36s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 11h40:25 +00h 10m 35s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 11h51:01 +00h 02m 02s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 11h53:04 +00h 15m 04s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 12h08:09 +00h 11m 10s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 12h19:21 +00h 02m 07s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 12h21:29 +00h 11m 28s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 12h32:58 +00h 14m 26s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 12h47:25 +00h 05m 36s [ 343 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 12h53:03 +00h 11m 50s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 13h04:54 +00h 11m 04s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 13h15:59 +00h 03m 03s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 13h19:04 +00h 12m 01s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 13h31:06 +00h 12m 30s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 13h43:38 +00h 04m 16s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 13h47:55 +00h 12m 13s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 14h00:09 +00h 11m 10s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 14h11:20 +00h 03m 44s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 14h15:06 +00h 12m 12s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 14h27:20 +00h 11m 09s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 14h38:30 +00h 03m 44s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 14h42:15 +00h 13m 27s [ 9267 tests] | 0 | ||
a100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 14h55:44 +00h 11m 40s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 15h07:25 +00h 03m 44s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 15h11:10 +00h 12m 14s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 15h23:25 +00h 12m 37s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 15h36:04 +00h 04m 16s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 15h40:20 +00h 12m 30s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 15h52:52 +00h 11m 22s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 16h04:15 +00h 03m 47s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 16h08:04 +00h 12m 31s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 16h20:36 +00h 11m 23s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 16h32:00 +00h 03m 48s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 16h35:50 +00h 13m 42s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 16h49:33 +00h 11m 54s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 17h01:28 +00h 03m 48s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 17h05:17 +00h 13m 12s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 17h18:30 +00h 11m 13s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 17h29:45 +00h 03m 55s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 17h33:42 +00h 13m 33s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 17h47:16 +00h 09m 53s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 17h57:10 +00h 01m 55s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 17h59:06 +00h 13m 11s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 18h12:19 +00h 11m 10s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 18h23:30 +00h 02m 46s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 18h26:17 +00h 14m 20s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 18h40:39 +00h 10m 27s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 18h51:07 +00h 02m 34s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 18h53:42 +00h 14m 20s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 19h08:03 +00h 10m 27s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 19h18:31 +00h 02m 34s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 19h21:06 +00h 14m 48s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 19h35:56 +00h 10m 58s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 19h46:54 +00h 02m 41s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 19h49:36 +00h 13m 19s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 20h02:57 +00h 11m 14s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 20h14:12 +00h 02m 46s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 20h16:59 +00h 14m 44s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 20h31:45 +00h 10m 39s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 20h42:25 +00h 02m 37s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 20h45:03 +00h 14m 43s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 20h59:48 +00h 10m 40s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 21h10:29 +00h 02m 37s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 21h13:07 +00h 15m 08s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 21h28:16 +00h 11m 11s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 21h39:28 +00h 02m 44s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-09 21h42:13 +00h 13m 11s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 21h55:26 +00h 11m 14s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 22h06:40 +00h 03m 10s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-09 22h09:52 +00h 13m 32s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 22h23:25 +00h 09m 54s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 22h33:20 +00h 01m 55s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-09 22h35:17 +00h 13m 11s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 22h48:29 +00h 11m 08s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 22h59:38 +00h 02m 08s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-09 23h01:47 +00h 14m 19s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 23h16:08 +00h 10m 26s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 23h26:35 +00h 02m 00s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-09 23h28:36 +00h 14m 20s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 23h42:57 +00h 10m 26s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-09 23h53:25 +00h 02m 00s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-09 23h55:27 +00h 14m 46s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 00h10:14 +00h 10m 57s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 00h21:12 +00h 02m 06s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-10 00h23:19 +00h 13m 18s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 00h36:39 +00h 11m 13s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 00h47:53 +00h 02m 10s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-10 00h50:05 +00h 14m 43s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 01h04:49 +00h 10m 39s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 01h15:29 +00h 02m 02s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-10 01h17:32 +00h 14m 43s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 01h32:16 +00h 10m 39s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 01h42:56 +00h 02m 03s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 3-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-10 01h45:00 +00h 15m 08s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 02h00:10 +00h 11m 10s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 02h11:21 +00h 02m 08s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-10 02h13:30 +00h 13m 03s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-10 02h26:34 +00h 11m 05s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-10 02h37:40 +00h 03m 52s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-10 02h41:33 +00h 13m 24s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-10 02h54:59 +00h 09m 47s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-10 03h04:47 +00h 01m 55s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-10 03h06:43 +00h 11m 27s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-10 03h18:11 +00h 14m 26s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-10 03h32:38 +00h 13m 40s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-10 03h46:19 +00h 11m 47s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-10 03h58:07 +00h 10m 58s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-10 04h09:07 +00h 03m 48s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-12-10 04h12:56 +00h 13m 03s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-12-10 04h26:01 +00h 11m 05s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-12-10 04h37:07 +00h 03m 09s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-12-10 04h40:18 +00h 13m 24s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-12-10 04h53:43 +00h 09m 49s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-12-10 05h03:34 +00h 01m 56s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-12-10 05h05:30 +00h 11m 27s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-12-10 05h16:59 +00h 14m 24s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-12-10 05h31:24 +00h 05m 34s [ 343 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-12-10 05h36:59 +00h 11m 49s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-12-10 05h48:48 +00h 11m 03s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-12-10 05h59:53 +00h 03m 04s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-12-10 06h02:59 +00h 13m 12s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-12-10 06h16:12 +00h 11m 14s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-12-10 06h27:27 +00h 03m 55s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-12-10 06h31:24 +00h 13m 33s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-12-10 06h44:58 +00h 09m 53s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-12-10 06h54:53 +00h 01m 56s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-12-10 06h56:50 +00h 13m 12s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-12-10 07h10:03 +00h 11m 12s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-12-10 07h21:16 +00h 03m 11s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-12-10 07h24:28 +00h 13m 32s [ 9267 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-12-10 07h38:01 +00h 09m 55s [ 3987 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-12-10 07h47:57 +00h 01m 56s [ 374 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 07h49:54 +00h 02m 59s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 07h52:55 +00h 03m 06s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 07h56:02 +00h 02m 59s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 07h59:02 +00h 04m 14s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 08h03:17 +00h 04m 10s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 08h07:29 +00h 04m 13s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 08h11:43 +00h 04m 09s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 08h15:53 +00h 04m 24s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 08h20:18 +00h 02m 30s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 08h22:49 +00h 02m 36s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 08h25:26 +00h 02m 30s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 08h27:57 +00h 02m 57s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 08h30:55 +00h 04m 23s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 08h35:19 +00h 04m 26s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 08h39:47 +00h 04m 24s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 08h44:12 +00h 04m 32s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 08h48:45 +00h 06m 44s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 08h55:30 +00h 06m 47s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 09h02:18 +00h 06m 44s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 09h09:03 +00h 07m 25s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 09h16:30 +00h 06m 19s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 09h22:50 +00h 06m 22s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 09h29:13 +00h 06m 18s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 09h35:32 +00h 06m 29s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 09h42:03 +00h 02m 42s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 09h44:45 +00h 02m 47s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 09h47:33 +00h 02m 41s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 09h50:16 +00h 02m 57s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 09h53:14 +00h 05m 03s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 09h58:18 +00h 05m 06s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 10h03:25 +00h 05m 03s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 10h08:29 +00h 05m 11s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 10h13:41 +00h 02m 43s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 10h16:25 +00h 02m 47s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 10h19:13 +00h 02m 42s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 10h21:56 +00h 02m 57s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 10h24:55 +00h 05m 03s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 10h29:59 +00h 05m 05s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 10h35:06 +00h 05m 02s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 10h40:10 +00h 05m 10s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 10h45:21 +00h 03m 17s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 10h48:39 +00h 03m 20s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 10h52:00 +00h 03m 17s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 10h55:18 +00h 03m 38s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 10h58:57 +00h 06m 48s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 11h05:46 +00h 06m 50s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 11h12:37 +00h 06m 48s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 11h19:27 +00h 06m 59s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 11h26:28 +00h 06m 37s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 11h33:05 +00h 06m 37s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 11h39:44 +00h 06m 36s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 11h46:21 +00h 07m 08s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 11h53:30 +00h 06m 28s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 11h59:59 +00h 06m 33s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 12h06:33 +00h 06m 29s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 12h13:03 +00h 06m 39s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 12h19:43 +00h 02m 49s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 12h22:33 +00h 02m 54s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 12h25:28 +00h 02m 48s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 12h28:17 +00h 03m 04s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 12h31:23 +00h 05m 19s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 12h36:43 +00h 05m 21s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 12h42:06 +00h 05m 19s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 12h47:26 +00h 05m 29s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 12h52:56 +00h 02m 50s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 12h55:47 +00h 02m 55s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 12h58:42 +00h 02m 48s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 13h01:32 +00h 03m 03s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 13h04:36 +00h 05m 19s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 13h09:56 +00h 05m 22s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 13h15:20 +00h 05m 19s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 13h20:40 +00h 05m 29s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 13h26:10 +00h 03m 25s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 13h29:37 +00h 03m 28s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 13h33:06 +00h 03m 25s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 2 | 2-4500 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 13h36:32 +00h 03m 46s [ 2740 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | Auto | 1 | 2023-12-10 13h40:19 +00h 07m 10s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | out-of-place | True | 1 | 2023-12-10 13h47:31 +00h 07m 10s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float32 | inplace | Auto | 1 | 2023-12-10 13h54:42 +00h 07m 09s [ 5848 tests] | 0 | 0 | |
a100 | pycuda | 3 | 2-150 [|Ni-N1|<={8; 4%N1}] | 2,3,5,7,11,13[^N,N<=3] | float64 | out-of-place | Auto | 1 | 2023-12-10 14h01:53 +00h 07m 23s [ 5848 tests] | 0 | 0 |