Difference between revisions of "Knights Landing"

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This is develop/test system of four x86_64 self-hosted Intel Xeon Phi Knights Landing (KNL) nodes, aka a "[http://dap.xeonphi.com/#platformspecs | Ninja]" platform.  Each node has one 64-core Intel(R) Xeon Phi(TM) CPU 7210 @ 1.30GHz with 4 threads per core.  The node is interconnected to the rest of the clusters with QDR Infiniband and shares the regular SciNet GPFS filesystems.   
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This is develop/test system of four x86_64 self-hosted Intel Xeon Phi Knights Landing (KNL) nodes, aka a "[http://dap.xeonphi.com/#platformspecs Ninja]" platform.  Each node has one 64-core Intel(R) Xeon Phi(TM) CPU 7210 @ 1.30GHz with 4 threads per core.  The node is interconnected to the rest of the clusters with QDR Infiniband and shares the regular SciNet GPFS filesystems.   
  
 
=== Login ===
 
=== Login ===

Revision as of 20:28, 5 September 2016

Intel Xeon Phi (Knights Landing )
Xeon phi.jpg
Installed August 2016
Operating System Linux Centos 7.2
Number of Nodes 4
Interconnect QDR Infiniband
Ram/Node 128GB DDR4 + 16GB MCDRAM
Cores/Node 64
Login/Devel Node knl01
Vendor Compilers icc,ifort
Queue Submission none

This is develop/test system of four x86_64 self-hosted Intel Xeon Phi Knights Landing (KNL) nodes, aka a "Ninja" platform. Each node has one 64-core Intel(R) Xeon Phi(TM) CPU 7210 @ 1.30GHz with 4 threads per core. The node is interconnected to the rest of the clusters with QDR Infiniband and shares 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 knl01,knl02,knl03,knl04.

Queue

Currently there is no queue,

Software

Software is available using the regular modules framework as used on other SciNet systesm, however is separate as the KNL has a newer Centos7 based operating system.


Compilers

The Xeon Phi uses the standard intel compilers.

module load intel/16.0.3


MPI

IntelMPI is currently the default MPI

module load intelmpi/5.1.3.219

Reference