Difference between revisions of "GPU Devel Nodes"

Latest revision as of 19:26, 31 August 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

The ARC GPU have been decommisioned. The head node, arc01, is still up, however for GPU computations, users are encouraged to move to the Gravity cluster. For visualization, new Visualization Nodes are being setup.

@@ Line 1: / Line 1: @@
-{{Infobox Computer
+{| style="border-spacing: 8px; width:100%"
-|image=[[Image:GeForce_9800_GT_3qtr_low.png|center|300px|thumb]]
+| valign="top" style="cellpadding:1em; padding:1em; border:2px solid; background-color:#f6f674; border-radius:5px"|
-|name=GPU Development Cluster
+'''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]'''
-|installed=June 2010
+|}
-|operatingsystem= Linux
-|loginnode= cell-srv01 (from <tt>login.scinet</tt>)
-|numberofnodes=8
-|rampernode=48 Gb
-|corespernode=8
-|interconnect=Infiniband,GigE
-|vendorcompilers=gcc,nvcc
-}}
-The Intel nodes have two 2.53GHz 4core Xeon X5550 CPU's with 48GB of RAM per node with 3 containing NVIDIA 9800GT GPUs.
+<span style="color:#772222">The ARC GPU have been decommisioned. The head node, arc01, is still up, however for GPU computations, users are encouraged to move to the [[Gravity]] cluster.  For visualization, new [[Visualization Nodes]] are being setup.</span>
-===Login===
-First login via ssh with your scinet account at <tt>login.scinet.utoronto.ca</tt>, and from there you can proceed to <tt>cell-srv01</tt> which
-is currently the gateway machine.
-Access to these machines is currently controlled. Please email support@scinet.utoronto.ca for access.
-==Compile/Devel/Compute Nodes==
-=== Nehalem (x86_64) ===
-You can log into any of 8 nodes '''<tt>cell-srv[01-08]</tt>''' directly however the nodes have differing configurations as follows:
-* '''<tt>cell-srv01</tt>''' - login node & nfs server, GigE connected
-* '''<tt>cell-srv[02-05]</tt>''' - no GPU, GigE connected
-* '''<tt>cell-srv[06-07]</tt>''' - 1x NVIDIA 9800GT GPU, Infiniband connected
-* '''<tt>cell-srv08</tt>''' - 2x NVIDIA 9800GT GPU, GigE connected
-=== Software ===
-The same software installed on the GPC is available on ARC using the same modules framework.
-See [[GPC_Quickstart#Modules_and_Environment_Variables | here]] for full details.
-==Programming Frameworks==
-Currently there are two programming frameworks to use, NVIDIA's CUDA framework or OpenCL.
-=== CUDA ===
-The current CUDA Toolkits in use are 3.0 (default) and 3.1. To use 3.0 just add the following module
-<pre>
-module load cuda
-</pre>
-or for 3.1 use
-<pre>
-module load cuda/cuda-3.1
-</pre>
-The CUDA driver is installed locally, however CUDA is installed in.
-<pre>
-/project/scinet/arc/cuda-3.0/
-/project/scinet/arc/cuda-3.1/
-</pre>
-=== OpenCL ===
-As of 3.0, OpenCL is included in the CUDA Toolkit so loading the CUDA module is all the is required.
-===Compilers===
-* '''nvcc''' -- Nvidia compiler
-===MPI===
-The GPC MPI packages can be used on this system. See the GPC section on [[ GPC_Quickstart#MPI |MPI ]] for more details.
-== Documentation ==
-* CUDA
-** google "CUDA"
-* OpenCL
-** see above
-== Further Info ==
-== User Codes ==
-Please discuss put any relevant information/problems/best practices you have encountered when using/developing for CUDA and/or OpenCL

Difference between revisions of "GPU Devel Nodes"

Latest revision as of 19:26, 31 August 2018

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