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
| Bridges (PSC) New! |
PSC's Bridges is a heterogeneous machine designed to support traditional and non-traditional HPC, Big Data and large-memory applications.
| Comet (SDSC) |
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.
| Gordon (SDSC) decommission April, 2017 |
Gordon is a unique, a flash-based supercomputer designed for data-intensive applications.
| Jetstream (IU/TACC) New! |
Jetstream is XSEDE's first user-friendly, scalable cloud environment.
| Stampede (TACC) |
Debuting Intel's new innovative MIC technology on a massive scale, TACC's Stampede system commenced production in January, 2013.
| SuperMIC (LSU)|
Equipped with Intel's Xeon Phi technology, LSU's SuperMIC cluster consists of 380 compute nodes.
| 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.
| XStream (Stanford) New!|
The XStream Cray CS-Storm GPU cluster serves researchers with accelerator workload environments.
Last update: January 27, 2017