Task 633798665
| Name | ps_251203_input_91400_5_1 |
| Workunit | 287104354 |
| Created | 5 Dec 2025, 4:17:45 UTC |
| Sent | 16 Dec 2025, 8:48:46 UTC |
| Report deadline | 26 Dec 2025, 20:48:46 UTC |
| Received | 16 Dec 2025, 16:42:06 UTC |
| Server state | Over |
| Outcome | Success |
| Client state | Done |
| Exit status | 0 (0x00000000) |
| Computer ID | 812363 |
| Run time | 30 min 49 sec |
| CPU time | 6 sec |
| Validate state | Valid |
| Credit | 62.19 |
| Device peak FLOPS | 1,142.44 GFLOPS |
| Application version | Period Search Application v102.00 (cuda55) windows_x86_64 |
| Peak working set size | 77.90 MB |
| Peak swap size | 674.43 MB |
| Peak disk usage | 0.33 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 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 10:41:28 (22668): called boinc_finish </stderr_txt> ]]>