Difference between revisions of "Accelerator Research Cluster"
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Latest revision as of 19:25, 31 August 2018
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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 |
| Accelerator Research Cluster (ARC) | |
|---|---|
| Installed | June 2010, April 2011 |
| Operating System | Linux (Centos 6.2) |
| Number of Nodes | 8(x86)+4x4(GPU)+14(Cell) |
| Interconnect | DDR Infiniband |
| Login/Devel Node | arc01 (from login.scinet) |
The Accelerator Research Cluster (ARC) is a technology evaluation cluster with a combination of 14 IBM PowerXCell 8i "Cell" nodes and 8 Intel x86_64 "Nehalem" nodes containing 16 NVIDIA M2070 GPUs. The QS22's each have two 3.2GHz "IBM PowerXCell 8i CPU's, where each CPU has 1 Power Processing Unit (PPU) and 8 Synergistic Processing Units (SPU), and 32GB of RAM per node. The Intel nodes have two 2.53GHz 4core Xeon X5550 CPU's with 48GB of RAM per node each containing two NVIDIA M2070 (Fermi) GPU's each with 6GB of RAM.
Please note that this cluster is not a production cluster and is only accessible to selected users.
Login
First login via ssh with your scinet account at login.scinet.utoronto.ca, and from there you can proceed to arc01 which is currently the gateway/devel node for this cluster.
Compile/Devel/Compute Nodes
Cell
You can log into any of 12 nodes blade[03-14] directly to compile/test/run Cell specific or OpenCL codes.
See the Cell Devel Info page for Cell specific details.
GPU
You can log into the devel node arc01 directly to compile and interactively test, and from there submit jobs to the other 7 x86_64/GPU nodes.
See the GPU Devel Info page for GPU specific details.