Phi
| XeonPHI/K20 Test node | |
|---|---|
| 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 5110P with
The nodes are interconnected with DDR Infiniband for MPI communications
and disk I/O to the 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.
Programming Frameworks
Currently there are four programming frameworks to use: NVIDIA's CUDA framework, PGI's CUDA Fortran, PGI's implementation of OpenACC, or OpenCL.
NVIDIA K20
See
Driver Version
The current NVIDIA driver version for the K20 is 310.44
Further Info
User Codes
Please discuss and put any relevant information/problems/best practices you have encountered when using/developing for CUDA and/or OpenCL