Difference between revisions of "SOSCIP GPU"
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__NOTOC__ | __NOTOC__ | ||
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{| style="border-spacing: 8px; width:100%" | {| style="border-spacing: 8px; width:100%" | ||
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'''WARNING: SciNet is in the process of replacing this wiki with a new documentation site. For current information, please go to [https://docs.scinet.utoronto.ca https://docs.scinet.utoronto.ca]''' | '''WARNING: SciNet is in the process of replacing this wiki with a new documentation site. For current information, please go to [https://docs.scinet.utoronto.ca https://docs.scinet.utoronto.ca]''' | ||
|} | |} | ||
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{{Infobox Computer | {{Infobox Computer | ||
|image=[[Image:S882lc.png|center|300px|thumb]] | |image=[[Image:S882lc.png|center|300px|thumb]] | ||
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|vendorcompilers=xlc/xlf, nvcc | |vendorcompilers=xlc/xlf, nvcc | ||
}} | }} | ||
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+ | == New Documentation Site == | ||
+ | Please visit the new documentation site: [https://docs.scinet.utoronto.ca/index.php/SOSCIP_GPU https://docs.scinet.utoronto.ca/index.php/SOSCIP_GPU] for updated information. | ||
== SOSCIP == | == SOSCIP == | ||
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Please use [mailto:soscip-support@scinet.utoronto.ca <soscip-support@scinet.utoronto.ca>] for SOSCIP GPU specific inquiries. | Please use [mailto:soscip-support@scinet.utoronto.ca <soscip-support@scinet.utoronto.ca>] for SOSCIP GPU specific inquiries. | ||
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+ | <!-- | ||
== Specifications== | == Specifications== | ||
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</pre> | </pre> | ||
===Packing single-GPU jobs within one SLURM job submission=== | ===Packing single-GPU jobs within one SLURM job submission=== | ||
− | Jobs are scheduled by node (4 GPUs) on SOSCIP GPU cluster. If user's code/program cannot utilize all 4 GPUs, user can use GNU Parallel tool to pack 4 or more single-GPU jobs into one SLURM job. Below is an example of submitting 4 single-GPU python codes within one job: | + | Jobs are scheduled by node (4 GPUs) on SOSCIP GPU cluster. If user's code/program cannot utilize all 4 GPUs, user can use GNU Parallel tool to pack 4 or more single-GPU jobs into one SLURM job. Below is an example of submitting 4 single-GPU python codes within one job: (When using GNU parallel for a publication please cite as per '''''parallel --citation''''') |
<pre> | <pre> | ||
#!/bin/bash | #!/bin/bash | ||
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# GPU Cluster Introduction: [[Media:GPU_Training_01.pdf|SOSCIP GPU Platform]] | # GPU Cluster Introduction: [[Media:GPU_Training_01.pdf|SOSCIP GPU Platform]] | ||
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Latest revision as of 15:17, 5 October 2018
WARNING: SciNet is in the process of replacing this wiki with a new documentation site. For current information, please go to https://docs.scinet.utoronto.ca |
SOSCIP GPU | |
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Installed | September 2017 |
Operating System | Ubuntu 16.04 le |
Number of Nodes | 14x Power 8 with 4x NVIDIA P100 |
Interconnect | Infiniband EDR |
Ram/Node | 512 GB |
Cores/Node | 2 x 10core (20 physical, 160 SMT) |
Login/Devel Node | sgc01 |
Vendor Compilers | xlc/xlf, nvcc |
New Documentation Site
Please visit the new documentation site: https://docs.scinet.utoronto.ca/index.php/SOSCIP_GPU for updated information.
SOSCIP
The SOSCIP GPU Cluster is a Southern Ontario Smart Computing Innovation Platform (SOSCIP) resource located at theUniversity of Toronto's SciNet HPC facility. The SOSCIP multi-university/industry consortium is funded by the Ontario Government and the Federal Economic Development Agency for Southern Ontario [1].
Support Email
Please use <soscip-support@scinet.utoronto.ca> for SOSCIP GPU specific inquiries.