Difference between revisions of "Accelerator Research Cluster"
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{{Infobox Computer | {{Infobox Computer | ||
| − | + | |name=Accelerator Research Cluster (ARC) | |
| − | |name= | ||
|installed=June 2010 | |installed=June 2010 | ||
| − | |operatingsystem= Linux | + | |operatingsystem= Linux (RHEL 5.4) |
|loginnode= cell-srv01 (from <tt>login.scinet</tt>) | |loginnode= cell-srv01 (from <tt>login.scinet</tt>) | ||
| − | |numberofnodes=14 | + | |numberofnodes=8+14 |
| − | + | |interconnect=Infiniband,GigE | |
| − | |||
| − | |interconnect=Infiniband | ||
| − | |||
}} | }} | ||
The Accelerator Research Cluster is a technology evaluation cluster with a combination of 14 IBM PowerXCell 8i "Cell" nodes and 8 Intel x86_64 "Nehalem" nodes containing NVIDIA GPUs. | The Accelerator Research Cluster is a technology evaluation cluster with a combination of 14 IBM PowerXCell 8i "Cell" nodes and 8 Intel x86_64 "Nehalem" nodes containing NVIDIA 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 | 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. | + | 32GB of RAM per node. The Intel nodes have two 2.53GHz 4core Xeon X5550 CPU's with 48GB of RAM per node and 3 contain Nvidia 9800GT video cards. |
===Login=== | ===Login=== | ||
| Line 26: | Line 22: | ||
You can log into any of 12 nodes '''<tt>blade[03-14]</tt>''' directly to compile/test/run Cell | You can log into any of 12 nodes '''<tt>blade[03-14]</tt>''' directly to compile/test/run Cell | ||
specific or OpenCL codes. | specific or OpenCL codes. | ||
| + | |||
| + | See the [[ Cell_Devel_Nodes | Cell Devel Info ]] page for Cell specific details. | ||
=== Nehalem (x86_64) === | === Nehalem (x86_64) === | ||
| − | You can log into any of 8 nodes '''<tt>cell-srv[01-08]</tt>''' directly | + | You can log into any of 8 nodes '''<tt>cell-srv[01-08]</tt>''' directly. |
| − | + | ||
| + | '''<tt>cell-srv01-08]</tt>'' | ||
| + | |||
| + | |||
| + | See [[ GPU_Devel_Nodes | GPU Devel Info ]] page for Cell specific details. | ||
==Local Disk== | ==Local Disk== | ||
This test cluster currently cannot see the global <tt>/home</tt> and <tt>/scratch</tt> space so you will have to copy (scp,etc..) your code to a separate local<tt>/home</tt> dedicated for this cluster. Also initially you will probably want to copy/modify your scinet .bashrc, .bashrc_profile, and .ssh directory onto this system. | This test cluster currently cannot see the global <tt>/home</tt> and <tt>/scratch</tt> space so you will have to copy (scp,etc..) your code to a separate local<tt>/home</tt> dedicated for this cluster. Also initially you will probably want to copy/modify your scinet .bashrc, .bashrc_profile, and .ssh directory onto this system. | ||
Revision as of 15:35, 13 April 2010
| Accelerator Research Cluster (ARC) | |
|---|---|
| Installed | June 2010 |
| Operating System | Linux (RHEL 5.4) |
| Interconnect | Infiniband,GigE |
| Login/Devel Node | cell-srv01 (from login.scinet) |
The Accelerator Research Cluster is a technology evaluation cluster with a combination of 14 IBM PowerXCell 8i "Cell" nodes and 8 Intel x86_64 "Nehalem" nodes containing NVIDIA 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 and 3 contain Nvidia 9800GT video cards.
Login
First login via ssh with your scinet account at login.scinet.utoronto.ca, and from there you can proceed to cell-srv01 which is currently the gateway machine.
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.
Nehalem (x86_64)
You can log into any of 8 nodes cell-srv[01-08] directly.
'cell-srv01-08]
See GPU Devel Info page for Cell specific details.
Local Disk
This test cluster currently cannot see the global /home and /scratch space so you will have to copy (scp,etc..) your code to a separate local/home dedicated for this cluster. Also initially you will probably want to copy/modify your scinet .bashrc, .bashrc_profile, and .ssh directory onto this system.