Clusters with Gpus under Linux and Windows HPC
Clusters with Gpus under Linux and Windows HPC Clusters with Gpus under Linux and Windows HPC
Exclusive access mode nvidia-smi can set up access policies for the GPUs: #nvidia-smi --loop-continuously --interval=60 --filename=/var/log/nvidia.log & #nvidia-smi -g 0 -c 1 (Set GPU 0 in exclusive access mode) #nvidia-smi -g 1 -c 1 (Set GPU 1 in exclusive access mode) #nvidia-smi -g 1 -s Compute-mode rules for GPU=0x1: 0x1 #nvidia-smi -g 0 -s Compute-mode rules for GPU=0x0: 0x1 This simplify interaction with job scheduling ( GPUs become consumable resources, similar to tapes and licenses)
Windows HPC for GPU clusters Current limitation: Requires an NVIDIA GPU for the display ( S1070 + GHIC) or an host system graphic chipset with WDDM driver
- Page 1 and 2: Clusters with GPUs under Linux and
- Page 3 and 4: HPC Clusters • Clusters are very
- Page 5 and 6: CUDA software requirements • Driv
- Page 7 and 8: Linux for GPU clusters
- Page 9: System management for Tesla S1070 n
- Page 13 and 14: Deployment Means… 1. Getting the
- Page 15 and 16: Network Drivers Management Overall
- Page 17 and 18: Images, drivers, and all that • A
- Page 19 and 20: CUDA Toolkit • To automate the to
- Page 21 and 22: Leveraging the GPU • A special en
- Page 23: Thank You! • www.nvidia.com/cuda
Exclusive access mode<br />
nvidia-smi can set up access policies for the GPUs:<br />
#nvidia-smi --loop-continuously --interval=60 --filename=/var/log/nvidia.log &<br />
#nvidia-smi -g 0 -c 1 (Set GPU 0 in exclusive access mode)<br />
#nvidia-smi -g 1 -c 1 (Set GPU 1 in exclusive access mode)<br />
#nvidia-smi -g 1 -s<br />
Compute-mode rules for GPU=0x1: 0x1<br />
#nvidia-smi -g 0 -s<br />
Compute-mode rules for GPU=0x0: 0x1<br />
This simplify interaction <strong>with</strong> job scheduling ( GPUs become<br />
consumable resources, similar to tapes <strong>and</strong> licenses)
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