High Performance Computing

Researchers requiring large amounts of computing power to accomplish their science goals should target XSEDE's HPC resources. Codes that run in this category are tightly coupled MPI, OpenMP, GPGPU, and hybrid programs. These codes require many low latency interconnected nodes (massively parallel processing), large memory distributed across many compute nodes, large memory shared by multiple tasks (shared memory processing), and/or high-performance parallel file systems to accommodate simulation results. The aggregate simulation time ranges from a few hours to days.

Available HPC resources

PSC's Bridges Bridges GPU (PSC) coming Summer 2017...
PSC's Bridges Bridges (PSC)
User Guide
PSC's Bridges is a heterogeneous machine designed to support traditional and non-traditional HPC, Big Data and large-memory applications.
SDSC's Comet Comet GPU (SDSC) New!
User Guide
SDSC's Comet Comet (SDSC)
User Guide
SDSC's large Comet cluster is 100% dedicated to XSEDE users. Comet features the next generation Intel "Haswell" processors with AVX2.

Comet is now accepting requests for Trial Allocations.

IU/TACC's Jetstream Jetstream (IU/TACC)
User Guide
Jetstream is XSEDE's first user-friendly, scalable cloud environment.
TACC's Stampede2
Stampede2 (TACC) New! early production...
Stampede2 User Guide
TACC's Stampede Stampede (TACC) decommissioning Summer 2017
User Guide
Debuting Intel's new innovative MIC technology on a massive scale.
LSU's SuperMIC SuperMIC (LSU)
User Guide
Equipped with Intel's Xeon Phi technology, LSU's SuperMIC cluster consists of 380 compute nodes.
TACC's Wrangler Wrangler (TACC)
User Guide
The Wrangler Data Analytics System combines database services, flash storage and long-term replicated storage, and an analytics server to meet the needs of today's data scientists.
Stanford's XStream XStream (Stanford)
User Guide
The XStream Cray CS-Storm GPU cluster serves researchers with accelerator workload environments.

Last update: July 8, 2017