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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
a40 | pycuda | Regular multi-dimensional C2C/R2C/R2R test | 2023-12-08 17h32:15 +00h 34m 28s | 0 | 0 | |||||||
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h06:44 +00h 01m 10s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h07:55 +00h 00m 43s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h08:39 +00h 01m 29s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h10:09 +00h 01m 18s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h11:28 +00h 00m 37s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h12:06 +00h 00m 34s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h12:41 +00h 03m 19s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h16:01 +00h 01m 29s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h17:32 +00h 01m 51s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h19:24 +00h 01m 16s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h20:41 +00h 00m 39s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h21:21 +00h 00m 52s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h22:15 +00h 01m 15s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h23:31 +00h 00m 39s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h24:11 +00h 00m 51s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h25:04 +00h 01m 29s [ 1846 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h26:34 +00h 00m 48s [ 511 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h27:23 +00h 01m 01s [ 174 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h28:25 +00h 03m 21s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h31:47 +00h 01m 26s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h33:14 +00h 01m 46s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h35:01 +00h 01m 18s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h36:20 +00h 00m 41s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h37:02 +00h 00m 53s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h37:56 +00h 01m 18s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h39:15 +00h 00m 41s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h39:57 +00h 00m 53s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h40:51 +00h 01m 31s [ 1846 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h42:23 +00h 00m 49s [ 511 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 1 | 2023-12-08 18h43:14 +00h 01m 03s [ 174 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h44:18 +00h 01m 15s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h45:34 +00h 01m 00s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h46:35 +00h 05m 17s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h51:54 +00h 01m 25s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h53:20 +00h 00m 44s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h54:05 +00h 01m 23s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h55:29 +00h 03m 34s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 18h59:04 +00h 01m 39s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h00:45 +00h 04m 57s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h05:43 +00h 01m 22s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h07:07 +00h 00m 43s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h07:51 +00h 02m 01s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h09:53 +00h 01m 22s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h11:17 +00h 00m 43s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h12:01 +00h 02m 02s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h14:04 +00h 01m 32s [ 1846 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h15:37 +00h 00m 52s [ 511 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h16:29 +00h 02m 18s [ 174 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h18:48 +00h 03m 36s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h22:26 +00h 01m 37s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h24:04 +00h 04m 43s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h28:48 +00h 01m 25s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h30:14 +00h 00m 45s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h31:00 +00h 02m 07s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h33:07 +00h 01m 25s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h34:33 +00h 00m 44s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h35:19 +00h 02m 06s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h37:26 +00h 01m 32s [ 1846 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h39:00 +00h 00m 54s [ 511 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 1 | 2023-12-08 19h39:54 +00h 02m 23s [ 174 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h42:19 +00h 01m 10s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h43:29 +00h 00m 43s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h44:13 +00h 00m 56s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h45:10 +00h 01m 19s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h46:30 +00h 00m 37s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h47:09 +00h 00m 34s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h47:44 +00h 03m 19s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h51:04 +00h 01m 30s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h52:35 +00h 01m 09s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h53:46 +00h 01m 16s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h55:03 +00h 00m 39s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h55:43 +00h 00m 33s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h56:17 +00h 01m 16s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h57:34 +00h 00m 39s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h58:14 +00h 00m 33s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 19h58:49 +00h 01m 29s [ 1846 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 20h00:19 +00h 00m 47s [ 511 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 20h01:08 +00h 00m 37s [ 174 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 20h01:46 +00h 03m 21s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 20h05:08 +00h 01m 26s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 20h06:35 +00h 01m 06s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 20h07:42 +00h 01m 18s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 20h09:02 +00h 00m 41s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 20h09:43 +00h 00m 34s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 20h10:18 +00h 01m 18s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 20h11:37 +00h 00m 41s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 20h12:19 +00h 00m 34s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 20h12:54 +00h 01m 31s [ 1846 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 20h14:26 +00h 00m 49s [ 511 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 1 | 2023-12-08 20h15:16 +00h 00m 38s [ 174 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h15:55 +00h 01m 16s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h17:12 +00h 01m 01s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h18:14 +00h 02m 19s [ 168 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h20:33 +00h 01m 26s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h22:00 +00h 00m 44s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h22:45 +00h 00m 53s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h23:39 +00h 03m 34s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h27:15 +00h 01m 40s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h28:56 +00h 02m 47s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h31:44 +00h 01m 23s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h33:08 +00h 00m 43s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h33:52 +00h 01m 08s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h35:01 +00h 01m 22s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h36:25 +00h 00m 43s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h37:09 +00h 01m 08s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h38:18 +00h 01m 30s [ 1846 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h39:49 +00h 00m 51s [ 511 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h40:42 +00h 01m 16s [ 174 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h41:59 +00h 03m 36s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h45:37 +00h 01m 37s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h47:15 +00h 02m 41s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h49:57 +00h 01m 25s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h51:23 +00h 00m 44s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h52:08 +00h 01m 11s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h53:20 +00h 01m 25s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h54:45 +00h 00m 45s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h55:31 +00h 01m 11s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h56:43 +00h 01m 32s [ 1846 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h58:16 +00h 00m 53s [ 511 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 1 | 2023-12-08 20h59:10 +00h 01m 19s [ 174 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h00:31 +00h 01m 12s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h01:44 +00h 00m 44s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h02:30 +00h 01m 31s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h04:02 +00h 01m 20s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h05:23 +00h 00m 38s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h06:03 +00h 00m 34s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h06:38 +00h 03m 21s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h10:01 +00h 01m 30s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h11:31 +00h 01m 51s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h13:24 +00h 01m 19s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h14:44 +00h 00m 40s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h15:25 +00h 00m 52s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h16:18 +00h 01m 20s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h17:39 +00h 00m 40s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h18:20 +00h 00m 53s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h19:14 +00h 01m 31s [ 1846 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h20:46 +00h 00m 48s [ 511 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h21:36 +00h 01m 02s [ 174 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h22:38 +00h 03m 23s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h26:02 +00h 01m 26s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h27:29 +00h 01m 47s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h29:17 +00h 01m 21s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h30:39 +00h 00m 42s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h31:22 +00h 00m 54s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h32:17 +00h 01m 21s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h33:40 +00h 00m 42s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h34:23 +00h 00m 54s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h35:18 +00h 01m 33s [ 1846 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h36:52 +00h 00m 50s [ 511 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 1 | 2023-12-08 21h37:43 +00h 01m 03s [ 174 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h38:48 +00h 01m 12s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h40:01 +00h 00m 44s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h40:46 +00h 00m 58s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h41:45 +00h 01m 21s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h43:07 +00h 00m 38s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h43:46 +00h 00m 35s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h44:22 +00h 03m 22s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h47:45 +00h 01m 30s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h49:16 +00h 01m 10s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h50:27 +00h 01m 19s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h51:47 +00h 00m 40s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h52:28 +00h 00m 33s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h53:03 +00h 01m 19s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h54:23 +00h 00m 40s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h55:04 +00h 00m 33s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h55:38 +00h 01m 31s [ 1846 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h57:11 +00h 00m 48s [ 511 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h58:00 +00h 00m 38s [ 174 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 21h58:39 +00h 03m 23s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 22h02:03 +00h 01m 26s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 22h03:30 +00h 01m 07s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 22h04:38 +00h 01m 21s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 22h06:00 +00h 00m 42s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 22h06:43 +00h 00m 34s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 22h07:19 +00h 01m 21s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 22h08:41 +00h 00m 42s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 22h09:24 +00h 00m 34s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 22h10:00 +00h 01m 33s [ 1846 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 22h11:34 +00h 00m 52s [ 511 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 1 | 2023-12-08 22h12:27 +00h 00m 39s [ 174 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-08 22h13:07 +00h 01m 09s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-08 22h14:18 +00h 00m 43s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-08 22h15:02 +00h 01m 28s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-08 22h16:31 +00h 01m 18s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-08 22h17:50 +00h 00m 37s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | Auto | 0 | 2023-12-08 22h18:28 +00h 00m 33s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-08 22h19:03 +00h 01m 16s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-08 22h20:19 +00h 01m 00s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-08 22h21:21 +00h 05m 17s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-08 22h26:39 +00h 01m 25s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-08 22h28:05 +00h 00m 44s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | out-of-place | Auto | 0 | 2023-12-08 22h28:50 +00h 01m 23s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-08 22h30:13 +00h 01m 10s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-08 22h31:24 +00h 00m 43s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-08 22h32:08 +00h 00m 56s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-08 22h33:05 +00h 01m 19s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-08 22h34:25 +00h 00m 37s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | Auto | 0 | 2023-12-08 22h35:03 +00h 00m 34s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-08 22h35:38 +00h 01m 16s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-08 22h36:55 +00h 01m 00s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-08 22h37:56 +00h 02m 25s [ 168 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-08 22h40:22 +00h 01m 25s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-08 22h41:49 +00h 00m 44s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float64 | inplace | Auto | 0 | 2023-12-08 22h42:34 +00h 00m 53s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-08 22h43:28 +00h 01m 12s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-08 22h44:40 +00h 00m 44s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-08 22h45:26 +00h 01m 32s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-08 22h46:59 +00h 01m 20s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-08 22h48:20 +00h 00m 38s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | out-of-place | True | 0 | 2023-12-08 22h49:00 +00h 00m 34s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-08 22h49:36 +00h 01m 12s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-08 22h50:48 +00h 00m 44s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-08 22h51:34 +00h 00m 58s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-100000 | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-08 22h52:32 +00h 01m 21s [ 1847 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-08 22h53:54 +00h 00m 38s [ 512 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | 2,3,5,7,11,13 | float32 | inplace | True | 0 | 2023-12-08 22h54:34 +00h 00m 35s [ 175 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 22h55:09 +00h 13m 26s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 23h08:36 +00h 13m 17s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 23h21:55 +00h 06m 18s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 23h28:13 +00h 14m 12s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 23h42:27 +00h 11m 45s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 23h54:13 +00h 02m 11s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-08 23h56:25 +00h 13m 56s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 00h10:22 +00h 12m 33s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 00h22:56 +00h 04m 24s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 00h27:22 +00h 14m 20s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 00h41:43 +00h 12m 21s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 00h54:05 +00h 04m 09s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 00h58:15 +00h 14m 21s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 01h12:38 +00h 12m 20s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 01h24:59 +00h 04m 08s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 01h29:08 +00h 16m 09s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 01h45:18 +00h 13m 09s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 01h58:29 +00h 04m 19s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 02h02:49 +00h 14m 07s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 02h16:57 +00h 12m 40s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 02h29:37 +00h 04m 22s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 02h34:01 +00h 14m 41s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 02h48:43 +00h 12m 34s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 03h01:18 +00h 04m 14s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 03h05:33 +00h 14m 41s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 03h20:15 +00h 12m 34s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 03h32:51 +00h 04m 13s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-10000 | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 03h37:05 +00h 16m 24s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 03h53:30 +00h 13m 24s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 1 | 2023-12-09 04h06:56 +00h 04m 25s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 04h11:22 +00h 13m 31s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 04h24:54 +00h 17m 20s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 04h42:15 +00h 23m 20s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 05h05:37 +00h 13m 35s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 05h19:13 +00h 13m 02s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 05h32:17 +00h 06m 15s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 05h38:32 +00h 13m 59s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 05h52:33 +00h 14m 49s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 06h07:23 +00h 12m 57s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 06h20:21 +00h 14m 12s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 06h34:34 +00h 13m 08s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 06h47:43 +00h 11m 17s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 06h59:01 +00h 14m 12s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 07h13:14 +00h 13m 08s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 07h26:23 +00h 11m 17s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 07h37:40 +00h 15m 08s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 07h52:50 +00h 13m 51s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 08h06:42 +00h 11m 16s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 08h17:59 +00h 14m 15s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 08h32:15 +00h 15m 00s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 08h47:16 +00h 12m 48s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 09h00:06 +00h 14m 26s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 09h14:33 +00h 13m 21s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 09h27:55 +00h 11m 31s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 09h39:27 +00h 14m 27s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 09h53:55 +00h 13m 20s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 10h07:17 +00h 11m 29s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-10000 | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 10h18:47 +00h 15m 20s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 10h34:08 +00h 14m 04s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 1 | 2023-12-09 10h48:14 +00h 11m 30s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 10h59:45 +00h 13m 26s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 11h13:12 +00h 13m 17s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 11h26:30 +00h 03m 31s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 11h30:02 +00h 14m 13s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 11h44:16 +00h 11m 46s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 11h56:03 +00h 02m 12s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 11h58:17 +00h 13m 55s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 12h12:13 +00h 12m 31s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 12h24:45 +00h 02m 28s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 12h27:15 +00h 14m 21s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 12h41:37 +00h 12m 20s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 12h53:58 +00h 02m 19s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 12h56:18 +00h 14m 20s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 13h10:39 +00h 12m 20s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 13h23:01 +00h 02m 19s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 13h25:21 +00h 16m 09s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 13h41:31 +00h 13m 07s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 13h54:39 +00h 02m 25s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 13h57:05 +00h 14m 06s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 14h11:12 +00h 12m 39s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 14h23:53 +00h 02m 27s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 14h26:21 +00h 14m 41s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 14h41:03 +00h 12m 33s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 14h53:37 +00h 02m 21s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 14h55:59 +00h 14m 41s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 15h10:41 +00h 12m 34s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 15h23:16 +00h 02m 21s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-10000 | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 15h25:38 +00h 16m 24s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 15h42:03 +00h 13m 22s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 1 | 2023-12-09 15h55:27 +00h 02m 28s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 15h57:56 +00h 13m 30s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 16h11:28 +00h 17m 18s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 16h28:47 +00h 09m 19s [ 343 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 16h38:07 +00h 13m 36s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 16h51:45 +00h 13m 07s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 17h04:53 +00h 03m 31s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 17h08:25 +00h 13m 59s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 17h22:25 +00h 14m 48s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 17h37:14 +00h 06m 39s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 17h43:55 +00h 14m 11s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 17h58:07 +00h 13m 06s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 18h11:14 +00h 05m 46s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 18h17:02 +00h 14m 11s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 18h31:14 +00h 13m 07s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 18h44:22 +00h 05m 46s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 18h50:10 +00h 15m 08s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 19h05:19 +00h 13m 50s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 19h19:10 +00h 05m 50s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 19h25:01 +00h 14m 14s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 19h39:17 +00h 14m 57s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 19h54:15 +00h 06m 36s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 20h00:52 +00h 14m 26s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 20h15:20 +00h 13m 22s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 20h28:43 +00h 05m 54s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 20h34:39 +00h 14m 26s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 20h49:06 +00h 13m 20s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 21h02:27 +00h 05m 54s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-10000 | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 21h08:21 +00h 15m 20s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 21h23:43 +00h 14m 03s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 1 | 2023-12-09 21h37:47 +00h 05m 56s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 21h43:45 +00h 13m 31s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 21h57:17 +00h 13m 25s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 22h10:44 +00h 06m 24s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 22h17:09 +00h 14m 19s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 22h31:28 +00h 11m 51s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 22h43:20 +00h 02m 12s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 22h45:34 +00h 14m 01s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 22h59:36 +00h 12m 37s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 23h12:14 +00h 04m 24s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 23h16:40 +00h 14m 27s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 23h31:08 +00h 12m 26s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 23h43:35 +00h 04m 09s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-09 23h47:45 +00h 14m 28s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-10 00h02:14 +00h 12m 26s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-10 00h14:41 +00h 04m 08s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-10 00h18:51 +00h 16m 10s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-10 00h35:02 +00h 13m 07s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-10 00h48:10 +00h 04m 19s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-10 00h52:31 +00h 14m 13s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-10 01h06:45 +00h 12m 45s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-10 01h19:31 +00h 04m 23s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-10 01h23:55 +00h 14m 48s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-10 01h38:45 +00h 12m 39s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-10 01h51:25 +00h 04m 14s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-10 01h55:41 +00h 14m 48s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-10 02h10:30 +00h 12m 39s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-10 02h23:10 +00h 04m 13s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-10000 | Bluestein | float32 | out-of-place | True | 1 | 2023-12-10 02h27:25 +00h 16m 28s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-10 02h43:54 +00h 13m 24s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 1 | 2023-12-10 02h57:19 +00h 04m 25s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-10 03h01:45 +00h 13m 32s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 03h15:18 +00h 13m 26s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 03h28:45 +00h 03m 34s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-10 03h32:20 +00h 14m 18s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 03h46:39 +00h 11m 53s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 03h58:33 +00h 02m 14s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-10 04h00:47 +00h 14m 02s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 04h14:50 +00h 12m 36s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 04h27:28 +00h 02m 28s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-10 04h29:57 +00h 14m 29s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 04h44:27 +00h 12m 24s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 04h56:52 +00h 02m 19s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-10 04h59:12 +00h 14m 28s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 05h13:41 +00h 12m 25s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 05h26:07 +00h 02m 19s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-10 05h28:27 +00h 16m 10s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 05h44:38 +00h 13m 09s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 05h57:49 +00h 02m 24s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-10 06h00:14 +00h 14m 12s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 06h14:28 +00h 12m 45s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 06h27:15 +00h 02m 30s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-10 06h29:46 +00h 14m 48s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 06h44:34 +00h 12m 39s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 06h57:15 +00h 02m 22s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-10 06h59:38 +00h 14m 49s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 07h14:28 +00h 12m 38s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 07h27:06 +00h 02m 21s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 3-10000 | Bluestein | float32 | inplace | True | 1 | 2023-12-10 07h29:29 +00h 16m 26s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 3-4500 (N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 07h45:57 +00h 13m 23s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 3-550 (N,N,N) | Bluestein | float32 | inplace | True | 1 | 2023-12-10 07h59:21 +00h 02m 27s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-10 08h01:50 +00h 13m 25s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-10 08h15:16 +00h 13m 16s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-10 08h28:34 +00h 06m 18s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-10 08h34:53 +00h 14m 12s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-10 08h49:06 +00h 11m 44s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | Auto | 0 | 2023-12-10 09h00:52 +00h 02m 11s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-10 09h03:04 +00h 13m 29s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-10 09h16:34 +00h 17m 17s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-10 09h33:53 +00h 23m 20s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-10 09h57:14 +00h 13m 36s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-10 10h10:51 +00h 13m 02s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | out-of-place | Auto | 0 | 2023-12-10 10h23:54 +00h 06m 14s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-12-10 10h30:09 +00h 13m 24s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-12-10 10h43:34 +00h 13m 16s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-12-10 10h56:51 +00h 03m 30s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | Auto | 0 | 2023-12-10 11h00:22 +00h 14m 12s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-12-10 11h14:35 +00h 11m 46s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | Auto | 0 | 2023-12-10 11h26:22 +00h 02m 12s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-12-10 11h28:36 +00h 13m 31s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-12-10 11h42:08 +00h 17m 16s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-12-10 11h59:26 +00h 09m 16s [ 343 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float64 | inplace | Auto | 0 | 2023-12-10 12h08:43 +00h 13m 36s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-12-10 12h22:21 +00h 13m 07s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float64 | inplace | Auto | 0 | 2023-12-10 12h35:29 +00h 03m 28s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-12-10 12h38:58 +00h 13m 31s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-12-10 12h52:30 +00h 13m 26s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-12-10 13h05:57 +00h 06m 23s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | out-of-place | True | 0 | 2023-12-10 13h12:21 +00h 14m 18s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-12-10 13h26:41 +00h 11m 50s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | out-of-place | True | 0 | 2023-12-10 13h38:32 +00h 02m 12s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-12-10 13h40:46 +00h 13m 31s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-12-10 13h54:18 +00h 13m 24s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-12-10 14h07:43 +00h 03m 33s [ 374 tests] | 0 | 0 | |
a40 | pycuda | 1 | 2-10000 | Bluestein | float32 | inplace | True | 0 | 2023-12-10 14h11:17 +00h 14m 18s [ 9267 tests] | 0 | 0 | |
a40 | pycuda | 2 | 2-4500 (N,N) | Bluestein | float32 | inplace | True | 0 | 2023-12-10 14h25:36 +00h 11m 52s [ 3987 tests] | 0 | 0 | |
a40 | pycuda | 3 | 2-550 (N,N,N) | Bluestein | float32 | inplace | True | 0 | 2023-12-10 14h37:29 +00h 02m 13s [ 374 tests] | 0 | 0 | |
a40 | 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 14h39:43 +00h 03m 33s [ 2740 tests] | 0 | 0 | |
a40 | 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 14h43:17 +00h 03m 39s [ 2740 tests] | 0 | 0 | |
a40 | 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 14h46:57 +00h 03m 32s [ 2740 tests] | 0 | 0 | |
a40 | 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 14h50:30 +00h 05m 06s [ 2740 tests] | 0 | 0 | |
a40 | 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 14h55:37 +00h 05m 12s [ 5848 tests] | 0 | 0 | |
a40 | 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 15h00:50 +00h 05m 16s [ 5848 tests] | 0 | 0 | |
a40 | 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 15h06:07 +00h 05m 12s [ 5848 tests] | 0 | 0 | |
a40 | 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 15h11:20 +00h 05m 29s [ 5848 tests] | 0 | 0 | |
a40 | 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 15h16:50 +00h 02m 59s [ 2740 tests] | 0 | 0 | |
a40 | 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 15h19:50 +00h 03m 04s [ 2740 tests] | 0 | 0 | |
a40 | 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 15h22:56 +00h 03m 00s [ 2740 tests] | 0 | 0 | |
a40 | 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 15h25:57 +00h 03m 36s [ 2740 tests] | 0 | 0 | |
a40 | 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 15h29:35 +00h 05m 30s [ 5848 tests] | 0 | 0 | |
a40 | 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 15h35:06 +00h 05m 34s [ 5848 tests] | 0 | 0 | |
a40 | 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 15h40:40 +00h 05m 30s [ 5848 tests] | 0 | 0 | |
a40 | 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 15h46:12 +00h 05m 40s [ 5848 tests] | 0 | 0 | |
a40 | 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 15h51:53 +00h 07m 49s [ 2740 tests] | 0 | 0 | |
a40 | 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 15h59:43 +00h 07m 52s [ 2740 tests] | 0 | 0 | |
a40 | 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 16h07:37 +00h 07m 49s [ 2740 tests] | 0 | 0 | |
a40 | 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 16h15:27 +00h 08m 44s [ 2740 tests] | 0 | 0 | |
a40 | 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 16h24:12 +00h 07m 57s [ 5848 tests] | 0 | 0 | |
a40 | 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 16h33:49 +00h 08m 01s [ 5848 tests] | 0 | 0 | |
a40 | 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 16h41:51 +00h 07m 57s [ 5848 tests] | 0 | 0 | |
a40 | 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 16h49:49 +00h 08m 09s [ 5848 tests] | 0 | 0 | |
a40 | 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 16h57:59 +00h 03m 11s [ 2740 tests] | 0 | 0 | |
a40 | 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 17h01:10 +00h 03m 16s [ 2740 tests] | 0 | 0 | |
a40 | 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 17h04:28 +00h 03m 11s [ 2740 tests] | 0 | 0 | |
a40 | 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 17h07:39 +00h 03m 33s [ 2740 tests] | 0 | 0 | |
a40 | 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 17h11:13 +00h 06m 20s [ 5848 tests] | 0 | 0 | |
a40 | 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 17h17:35 +00h 06m 23s [ 5848 tests] | 0 | 0 | |
a40 | 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 17h24:00 +00h 06m 20s [ 5848 tests] | 0 | 0 | |
a40 | 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 17h30:21 +00h 06m 29s [ 5848 tests] | 0 | 0 | |
a40 | 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 17h36:50 +00h 03m 11s [ 2740 tests] | 0 | 0 | |
a40 | 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 17h40:02 +00h 03m 16s [ 2740 tests] | 0 | 0 | |
a40 | 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 17h43:19 +00h 03m 10s [ 2740 tests] | 0 | 0 | |
a40 | 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 17h46:31 +00h 03m 33s [ 2740 tests] | 0 | 0 | |
a40 | 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 17h50:04 +00h 06m 20s [ 5848 tests] | 0 | 0 | |
a40 | 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 17h56:25 +00h 06m 23s [ 5848 tests] | 0 | 0 | |
a40 | 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 18h02:50 +00h 06m 19s [ 5848 tests] | 0 | 0 | |
a40 | 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 18h09:10 +00h 06m 29s [ 5848 tests] | 0 | 0 | |
a40 | 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 18h15:41 +00h 03m 57s [ 2740 tests] | 0 | 0 | |
a40 | 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 18h19:38 +00h 04m 00s [ 2740 tests] | 0 | 0 | |
a40 | 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 18h23:40 +00h 03m 56s [ 2740 tests] | 0 | 0 | |
a40 | 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 18h27:37 +00h 04m 20s [ 2740 tests] | 0 | 0 | |
a40 | 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 18h31:58 +00h 08m 34s [ 5848 tests] | 0 | 0 | |
a40 | 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 18h40:33 +00h 08m 35s [ 5848 tests] | 0 | 0 | |
a40 | 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 18h49:09 +00h 08m 33s [ 5848 tests] | 0 | 0 | |
a40 | 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 18h57:43 +00h 08m 46s [ 5848 tests] | 0 | 0 | |
a40 | 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 19h06:31 +00h 07m 39s [ 2740 tests] | 0 | 0 | |
a40 | 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 19h14:12 +00h 07m 40s [ 2740 tests] | 0 | 0 | |
a40 | 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 19h21:53 +00h 07m 39s [ 2740 tests] | 0 | 0 | |
a40 | 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 19h29:33 +00h 08m 41s [ 2740 tests] | 0 | 0 | |
a40 | 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 19h38:15 +00h 08m 09s [ 5848 tests] | 0 | 0 | |
a40 | 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 19h46:25 +00h 08m 14s [ 5848 tests] | 0 | 0 | |
a40 | 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 19h54:40 +00h 08m 09s [ 5848 tests] | 0 | 0 | |
a40 | 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 20h02:50 +00h 08m 22s [ 5848 tests] | 0 | 0 | |
a40 | 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 20h11:14 +00h 03m 18s [ 2740 tests] | 0 | 0 | |
a40 | 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 20h14:33 +00h 03m 23s [ 2740 tests] | 0 | 0 | |
a40 | 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 20h17:58 +00h 03m 18s [ 2740 tests] | 0 | 0 | |
a40 | 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 20h21:17 +00h 03m 42s [ 2740 tests] | 0 | 0 | |
a40 | 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 20h25:00 +00h 06m 41s [ 5848 tests] | 0 | 0 | |
a40 | 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 20h31:42 +00h 06m 44s [ 5848 tests] | 0 | 0 | |
a40 | 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 20h38:28 +00h 06m 40s [ 5848 tests] | 0 | 0 | |
a40 | 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 20h45:09 +00h 06m 53s [ 5848 tests] | 0 | 0 | |
a40 | 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 20h52:03 +00h 03m 19s [ 2740 tests] | 0 | 0 | |
a40 | 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 20h55:23 +00h 03m 24s [ 2740 tests] | 0 | 0 | |
a40 | 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 20h58:48 +00h 03m 18s [ 2740 tests] | 0 | 0 | |
a40 | 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 21h02:07 +00h 03m 41s [ 2740 tests] | 0 | 0 | |
a40 | 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 21h05:49 +00h 06m 40s [ 5848 tests] | 0 | 0 | |
a40 | 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 21h12:30 +00h 06m 44s [ 5848 tests] | 0 | 0 | |
a40 | 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 21h19:15 +00h 06m 40s [ 5848 tests] | 0 | 0 | |
a40 | 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 21h25:56 +00h 06m 52s [ 5848 tests] | 0 | 0 | |
a40 | 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 21h32:49 +00h 04m 06s [ 2740 tests] | 0 | 0 | |
a40 | 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 21h36:56 +00h 04m 09s [ 2740 tests] | 0 | 0 | |
a40 | 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 21h41:06 +00h 04m 06s [ 2740 tests] | 0 | 0 | |
a40 | 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 21h45:13 +00h 04m 30s [ 2740 tests] | 0 | 0 | |
a40 | 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 21h49:45 +00h 08m 59s [ 5848 tests] | 0 | 0 | |
a40 | 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 21h58:45 +00h 09m 00s [ 5848 tests] | 0 | 0 | |
a40 | 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 22h07:46 +00h 09m 00s [ 5848 tests] | 0 | 0 | |
a40 | 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 22h16:47 +00h 09m 15s [ 5848 tests] | 0 | 0 |