Message boards : Graphics cards (GPUs) : Work units failing in 64-bit Linux
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Work units are failing on 64-bit linux. This is a research unit that has proven itself to be very stable, but is idle at the moment. Thought I'd try to take advantage of the idle time. CUDA Device Query (Runtime API) version (CUDART static linking) There are 4 devices supporting CUDA Device 0: "Tesla C1060" CUDA Driver Version: 2.30 CUDA Runtime Version: 2.30 CUDA Capability Major revision number: 1 CUDA Capability Minor revision number: 3 Total amount of global memory: 4294705152 bytes Number of multiprocessors: 30 Number of cores: 240 Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 16384 bytes Total number of registers available per block: 16384 Warp size: 32 Maximum number of threads per block: 512 Maximum sizes of each dimension of a block: 512 x 512 x 64 Maximum sizes of each dimension of a grid: 65535 x 65535 x 1 Maximum memory pitch: 262144 bytes Texture alignment: 256 bytes Clock rate: 1.30 GHz Concurrent copy and execution: Yes Run time limit on kernels: No Integrated: No Support host page-locked memory mapping: Yes Compute mode: Default (multiple host threads can use this device simultaneously) Device 1: "Tesla C1060" CUDA Driver Version: 2.30 CUDA Runtime Version: 2.30 CUDA Capability Major revision number: 1 CUDA Capability Minor revision number: 3 Total amount of global memory: 4294705152 bytes Number of multiprocessors: 30 Number of cores: 240 Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 16384 bytes Total number of registers available per block: 16384 Warp size: 32 Maximum number of threads per block: 512 Maximum sizes of each dimension of a block: 512 x 512 x 64 Maximum sizes of each dimension of a grid: 65535 x 65535 x 1 Maximum memory pitch: 262144 bytes Texture alignment: 256 bytes Clock rate: 1.30 GHz Concurrent copy and execution: Yes Run time limit on kernels: No Integrated: No Support host page-locked memory mapping: Yes Compute mode: Default (multiple host threads can use this device simultaneously) Device 2: "Tesla C1060" CUDA Driver Version: 2.30 CUDA Runtime Version: 2.30 CUDA Capability Major revision number: 1 CUDA Capability Minor revision number: 3 Total amount of global memory: 4294705152 bytes Number of multiprocessors: 30 Number of cores: 240 Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 16384 bytes Total number of registers available per block: 16384 Warp size: 32 Maximum number of threads per block: 512 Maximum sizes of each dimension of a block: 512 x 512 x 64 Maximum sizes of each dimension of a grid: 65535 x 65535 x 1 Maximum memory pitch: 262144 bytes Texture alignment: 256 bytes Clock rate: 1.30 GHz Concurrent copy and execution: Yes Run time limit on kernels: No Integrated: No Support host page-locked memory mapping: Yes Compute mode: Default (multiple host threads can use this device simultaneously) Device 3: "Tesla C1060" CUDA Driver Version: 2.30 CUDA Runtime Version: 2.30 CUDA Capability Major revision number: 1 CUDA Capability Minor revision number: 3 Total amount of global memory: 4294705152 bytes Number of multiprocessors: 30 Number of cores: 240 Total amount of constant memory: 65536 bytes Total amount of shared memory per block: 16384 bytes Total number of registers available per block: 16384 Warp size: 32 Maximum number of threads per block: 512 Maximum sizes of each dimension of a block: 512 x 512 x 64 Maximum sizes of each dimension of a grid: 65535 x 65535 x 1 Maximum memory pitch: 262144 bytes Texture alignment: 256 bytes Clock rate: 1.30 GHz Concurrent copy and execution: Yes Run time limit on kernels: No Integrated: No Support host page-locked memory mapping: Yes Compute mode: Default (multiple host threads can use this device simultaneously) Test PASSED | |
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 GDFVolunteer moderator Project administrator Project developer Project tester Volunteer developer Volunteer tester Project scientist Send message Joined: 14 Mar 07 Posts: 1957 Credit: 629,356 RAC: 0 Level  Scientific publications     | |
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Do you always fail or just sometime? | |
| ID: 12668 | Rating: 0 | rate:
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The first eight work units failed, so I suspended it at that point. It's definitely not overheating. It's housed in 1u rack unit in a frigid, air conditioned room. I wonder whether it has something to do with | |
| ID: 12696 | Rating: 0 | rate:
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Found the problem. The Einstein@Home beta app was the culprit. I had left something around that GPUGrid didn't like. Unloading and reloading the kernel module fixed the problem. | |
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Message boards : Graphics cards (GPUs) : Work units failing in 64-bit Linux
