Difference between revisions of "Phi"
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{{Infobox Computer | {{Infobox Computer | ||
|image=[[Image:Tesla_S2070_3qtr.gif|center|300px|thumb]] | |image=[[Image:Tesla_S2070_3qtr.gif|center|300px|thumb]] | ||
| − | |name=Xeon | + | |name=Intel Xeon Phi / NVIDIA Tesla K20 |
|installed=April 2013 | |installed=April 2013 | ||
|operatingsystem= Linux Centos 6.4 | |operatingsystem= Linux Centos 6.4 | ||
|loginnode= arc09 (from <tt>arc01</tt>) | |loginnode= arc09 (from <tt>arc01</tt>) | ||
|nnodes=1 | |nnodes=1 | ||
| − | |rampernode=32 | + | |rampernode=32 GB |
|corespernode=8 with Xeon Phi & K20 | |corespernode=8 with Xeon Phi & K20 | ||
|interconnect=DDR Infiniband | |interconnect=DDR Infiniband | ||
| Line 14: | Line 14: | ||
This is a single test/devel node, part of the [[Accelerator Research Cluster]], for investigating new accelerator technologies. It consists of a singele x86_64 nodes with one 8-core Intel Sandybridge Xeon | This is a single test/devel node, part of the [[Accelerator Research Cluster]], for investigating new accelerator technologies. It consists of a singele x86_64 nodes with one 8-core Intel Sandybridge Xeon | ||
| − | E5-2650 2.0GHz CPU with 32GB of RAM per node. It has a single NVIDIA Tesla K20 GPU with CUDA Capability 3.0 (Kepler) with 2496 CUDA Cores and 5 GB of RAM as well as a single Intel Xeon Phi | + | E5-2650 2.0GHz CPU with 32GB of RAM per node. It has a single NVIDIA Tesla K20 GPU with CUDA Capability 3.0 (Kepler) with 2496 CUDA Cores and 5 GB of RAM as well as a single Intel Xeon Phi 3120A with 57 |
| − | + | 1.1 GHz cores and 6GB of RAM. The node is interconnected to the rest of the clusters with DDR Infiniband and mounts the regular SciNet GPFS filesystems. | |
| − | |||
| − | The | ||
| − | and | ||
| − | |||
=== Login === | === Login === | ||
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== Xeon Phi == | == Xeon Phi == | ||
| + | === Compilers === | ||
The Xeon Phi uses the standard intel compilers, however requires at least version 13.0 | The Xeon Phi uses the standard intel compilers, however requires at least version 13.0 | ||
| Line 58: | Line 55: | ||
module load intel/13.1.1 | module load intel/13.1.1 | ||
</pre> | </pre> | ||
| + | |||
| + | |||
| + | === Tools === | ||
| + | |||
| + | The Intel Cluters Tools such as vtune amplifier and inspector are available for the Xeon Phi by | ||
| + | loading the following modules. | ||
| + | |||
| + | <pre> | ||
| + | module load inteltools | ||
| + | </pre> | ||
| + | |||
| + | |||
| + | === Direct Access === | ||
| + | |||
| + | The Xeon Phi can be accessed directly by | ||
| + | |||
| + | <pre> | ||
| + | ssh mic0 | ||
| + | </pre> | ||
| + | |||
| + | === Shared Filesystem === | ||
| + | |||
| + | The host node arc09 mounts the standard SciNet filesystems, i.e. $HOME and $SCRATCH, however to share | ||
| + | files between the host and Xeon Phi use /localscratch/$HOME | ||
Revision as of 11:26, 2 May 2013
| Intel Xeon Phi / NVIDIA Tesla K20 | |
|---|---|
| Installed | April 2013 |
| Operating System | Linux Centos 6.4 |
| Number of Nodes | 1 |
| Interconnect | DDR Infiniband |
| Ram/Node | 32 GB |
| Cores/Node | 8 with Xeon Phi & K20 |
| Login/Devel Node | arc09 (from arc01) |
| Vendor Compilers | nvcc,pgcc,icc,gcc |
| Queue Submission | none |
This is a single test/devel node, part of the Accelerator Research Cluster, for investigating new accelerator technologies. It consists of a singele x86_64 nodes with one 8-core Intel Sandybridge Xeon E5-2650 2.0GHz CPU with 32GB of RAM per node. It has a single NVIDIA Tesla K20 GPU with CUDA Capability 3.0 (Kepler) with 2496 CUDA Cores and 5 GB of RAM as well as a single Intel Xeon Phi 3120A with 57 1.1 GHz cores and 6GB of RAM. The node is interconnected to the rest of the clusters with DDR Infiniband and mounts the regular SciNet GPFS filesystems.
Login
First login via ssh with your scinet account at login.scinet.utoronto.ca, and from there you can proceed to arc01 which is the GPU development node and then to arc09.
Access to this machines is no enabled be default so please email support@scinet.utoronto.ca for access.
Devel/Compute
As this is a single node there is no queue and users are expected to use it in a "friendly" manner. This system is not setup for production usage, and primarily for investigating new technologies so please keep your run times short.
Software
The same software installed on the GPC is available on ARC using the same modules framework. See here for full details.
NVIDIA K20
See ARC wiki page for details of the available CUDA and OpenCL compilers and modules. To use all the K20 features a minimum of CUDA 5.0 is required.
module load cuda/5.0
Driver Version
The current NVIDIA driver version for the K20 is 310.44
Xeon Phi
Compilers
The Xeon Phi uses the standard intel compilers, however requires at least version 13.0
module load intel/13.1.1
Tools
The Intel Cluters Tools such as vtune amplifier and inspector are available for the Xeon Phi by loading the following modules.
module load inteltools
Direct Access
The Xeon Phi can be accessed directly by
ssh mic0
The host node arc09 mounts the standard SciNet filesystems, i.e. $HOME and $SCRATCH, however to share files between the host and Xeon Phi use /localscratch/$HOME