Task 598264902
| Name | ps_250908_input_67032_4_0 |
| Workunit | 269940382 |
| Created | 8 Sep 2025, 17:07:08 UTC |
| Sent | 9 Sep 2025, 17:13:32 UTC |
| Report deadline | 15 Sep 2025, 12:06:52 UTC |
| Received | 10 Sep 2025, 15:13:05 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 812363 |
| Run time | 11 min 13 sec |
| CPU time | 7 sec |
| Validate state | Valid |
| Credit | 25.36 |
| Device peak FLOPS | 1,142.45 GFLOPS |
| Application version | Period Search Application v102.00 (cuda55) windows_x86_64 |
| Peak working set size | 72.54 MB |
| Peak swap size | 552.29 MB |
| Peak disk usage | 0.30 MB |
Stderr output
<core_client_version>8.2.4</core_client_version> <![CDATA[ <stderr_txt> CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 CUDA RC12!!!!!!!!!! CUDA Device number: 0 CUDA Device: Quadro K6000 Compute capability: 3.5 Multiprocessors: 15 Grid dim: 240 = 15*16 Block dim: 128 10:11:56 (28008): called boinc_finish </stderr_txt> ]]>