tech:slurm
Differences
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revisionNext revision | Previous revisionNext revisionBoth sides next revision | ||
tech:slurm [2020/05/27 11:30] – [Example mnist] kohofer | tech:slurm [2020/06/22 16:12] – kohofer | ||
---|---|---|---|
Line 592: | Line 592: | ||
python3 main.py | python3 main.py | ||
</ | </ | ||
+ | |||
+ | Remove < | ||
{(xssnipper>, | {(xssnipper>, | ||
Line 733: | Line 735: | ||
squeue | squeue | ||
+ | |||
+ | |||
+ | ---- | ||
+ | |||
+ | |||
+ | ===== CUDA NVIDIA TESLA ===== | ||
+ | |||
+ | root@gpu03:/ | ||
+ | deviceQuery Starting... | ||
+ | |||
+ | CUDA Device Query (Runtime API) version (CUDART static linking) | ||
+ | |||
+ | Detected 2 CUDA Capable device(s) | ||
+ | |||
+ | Device 0: "Tesla V100-PCIE-32GB" | ||
+ | CUDA Driver Version / Runtime Version | ||
+ | CUDA Capability Major/Minor version number: | ||
+ | Total amount of global memory: | ||
+ | (80) Multiprocessors, | ||
+ | GPU Max Clock rate: 1380 MHz (1.38 GHz) | ||
+ | Memory Clock rate: 877 Mhz | ||
+ | Memory Bus Width: | ||
+ | L2 Cache Size: | ||
+ | Maximum Texture Dimension Size (x, | ||
+ | Maximum Layered 1D Texture Size, (num) layers | ||
+ | Maximum Layered 2D Texture Size, (num) layers | ||
+ | Total amount of constant memory: | ||
+ | Total amount of shared memory per block: | ||
+ | Total number of registers available per block: 65536 | ||
+ | Warp size: 32 | ||
+ | Maximum number of threads per multiprocessor: | ||
+ | Maximum number of threads per block: | ||
+ | Max dimension size of a thread block (x,y,z): (1024, 1024, 64) | ||
+ | Max dimension size of a grid size (x,y,z): (2147483647, | ||
+ | Maximum memory pitch: | ||
+ | Texture alignment: | ||
+ | Concurrent copy and kernel execution: | ||
+ | Run time limit on kernels: | ||
+ | Integrated GPU sharing Host Memory: | ||
+ | Support host page-locked memory mapping: | ||
+ | Alignment requirement for Surfaces: | ||
+ | Device has ECC support: | ||
+ | Device supports Unified Addressing (UVA): | ||
+ | Device supports Compute Preemption: | ||
+ | Supports Cooperative Kernel Launch: | ||
+ | Supports MultiDevice Co-op Kernel Launch: | ||
+ | Device PCI Domain ID / Bus ID / location ID: 0 / 59 / 0 | ||
+ | Compute Mode: | ||
+ | < Default (multiple host threads can use :: | ||
+ | |||
+ | Device 1: "Tesla V100-PCIE-32GB" | ||
+ | CUDA Driver Version / Runtime Version | ||
+ | CUDA Capability Major/Minor version number: | ||
+ | Total amount of global memory: | ||
+ | (80) Multiprocessors, | ||
+ | GPU Max Clock rate: 1380 MHz (1.38 GHz) | ||
+ | Memory Clock rate: 877 Mhz | ||
+ | Memory Bus Width: | ||
+ | L2 Cache Size: | ||
+ | Maximum Texture Dimension Size (x, | ||
+ | Maximum Layered 1D Texture Size, (num) layers | ||
+ | Maximum Layered 2D Texture Size, (num) layers | ||
+ | Total amount of constant memory: | ||
+ | Total amount of shared memory per block: | ||
+ | Total number of registers available per block: 65536 | ||
+ | Warp size: 32 | ||
+ | Maximum number of threads per multiprocessor: | ||
+ | Maximum number of threads per block: | ||
+ | Max dimension size of a thread block (x,y,z): (1024, 1024, 64) | ||
+ | Max dimension size of a grid size (x,y,z): (2147483647, | ||
+ | Maximum memory pitch: | ||
+ | Texture alignment: | ||
+ | Concurrent copy and kernel execution: | ||
+ | Run time limit on kernels: | ||
+ | Integrated GPU sharing Host Memory: | ||
+ | Support host page-locked memory mapping: | ||
+ | Alignment requirement for Surfaces: | ||
+ | Device has ECC support: | ||
+ | Device supports Unified Addressing (UVA): | ||
+ | Device supports Compute Preemption: | ||
+ | Supports Cooperative Kernel Launch: | ||
+ | Supports MultiDevice Co-op Kernel Launch: | ||
+ | Device PCI Domain ID / Bus ID / location ID: 0 / 175 / 0 | ||
+ | Compute Mode: | ||
+ | < Default (multiple host threads can use :: | ||
+ | > Peer access from Tesla V100-PCIE-32GB (GPU0) -> Tesla V100-PCIE-32GB (GPU1) : Yes | ||
+ | > Peer access from Tesla V100-PCIE-32GB (GPU1) -> Tesla V100-PCIE-32GB (GPU0) : Yes | ||
+ | |||
+ | deviceQuery, | ||
+ | Result = PASS | ||
+ | |||
/data/www/wiki.inf.unibz.it/data/pages/tech/slurm.txt · Last modified: 2022/11/24 16:17 by kohofer