Clusters with Gpus under Linux and Windows HPC

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Deploying CUDA on Linux clusters Several cluster management systems are now CUDA enabled ( Rocks, Platform Computing, Clustervision, Scyld Clusterware) If you want to deploy on your preferred software stack: -Install and load the driver on each node (required): •Use the silent and no-network flags in the installer (-s -N) •Use the script in the release notes to load the driver without having to start X -Install the toolkit on each node (required) -Install the SDK on each node (optional): •Use deviceQuery and bandwidthTest to check that the GPUs are properly configured and the bandwidth is consistent among nodes ( --noprompt flag)
System management for Tesla S1070 nvidia-smi is a software tool providing: •Thermal Monitoring: GPU temperatures, chassis inlet/outlet temperatures •System Information: Unit serial number, firmware revision, configuration info •System Status System fan states (e.g. failure), GPU faults Power system fault , cable fault
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: Linux for GPU clusters
Page 11 and 12: Windows HPC for GPU clusters Curren
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

Clusters with Gpus under Linux and Windows HPC

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