Snyder

Overview of Snyder

Snyder is the newest of Purdue's Community Clusters, optimized for data intensive applications requiring large amounts of shared memory per node, such as life sciences. Snyder was built through a partnership with HP and Intel in April 2015. Snyder consists of HP compute nodes with two 10-core Intel Xeon-E5 processors (20 cores per node) and 256 GB or 512 GB of memory. All nodes have 40 Gbps Ethernet connections and a 5-year warranty. Snyder will be expanded annually, with each year's purchase of nodes to remain in production for 5 years from their initial purchase.

To purchase access to Snyder today, go to the 2015 Cluster Access Purchase page. Please subscribe to our Community Cluster Program Mailing List to stay informed on the latest purchasing developments or contact us via email at rcac-cluster-purchase@lists.purdue.edu if you have any questions.

Namesake

Snyder is named in honor of James C. Snyder, a Professor of Agricultural Economics and a pioneer in applying computer models to agribusiness. More information about his life and impact on Purdue is available in an ITaP Biography of James C. Snyder.

Detailed Hardware Specification

Most Snyder nodes consist of similar hardware. All Snyder nodes have 20 processor cores, 256 GB or 512 GB RAM, and 40 Gbps Ethernet interconnects.

Sub-Cluster Number of Nodes Processors per Node Cores per Node Memory per Node Interconnect TeraFLOPS
Snyder-2015 (A) 52 Two 10-Core Intel Xeon-E5 20 256 GB 40 Gbps Ethernet TBD
Snyder-2015 (B) 7 Two 10-Core Intel Xeon-E5 20 512 GB 40 Gbps Ethernet TBD

Snyder nodes run Red Hat Enterprise Linux 6 (RHEL6) and use Moab Workload Manager 8 and TORQUE Resource Manager 5 as the portable batch system (PBS) for resource and job management, optimized for jobs using one or more entire nodes and for maximum job throughput. The application of operating system patches occurs as security needs dictate. All nodes allow for unlimited stack usage, as well as unlimited core dump size (though disk space and server quotas may still be a limiting factor).

For more information about the TORQUE Resource Manager:

On Snyder, ITaP recommends the following set of compiler, math library, and message-passing library for parallel code:

  • Intel 16.0.1.150
  • MKL
  • Intel MPI

To load the recommended set:

$ module load devel

To verify what you loaded:

$ module list

Obtaining an Account on Snyder

To obtain an account, you must be part of a research group which has purchased access to Snyder. Refer to the Accounts / Access page for more details on how to request access.