Office of Research Computing
The Office of Research Computing includes:
The Center for Research Computing (CRC) - https://crc.pitt.edu/resources
Pittsburgh Supercomputing Center (PSC) - http://www.psc.edu
Center for Research Computing
The mission of the CRC is to increase the impact and productivity of Pitt researchers through the use of advanced computing. We fulfill this mission by
- providing our community access to cutting-edge computer hardware and software for enabling transformative research,
- providing our community training workshops to educate users how to utilize the computing resources effectively,
- providing extended personalized consultation for improving researchers’ computational workflow and code performance through selection of better algorithms, parallelization techniques, improved use of input-output strategies, etc. We can also assist in grant proposals, justifying the requested computational hardware or personnel support.
An overview of CRC resources can be found at https://crc.pitt.edu/documentation/overview-to-crc-resources/
Hardware computing resources include SMP, GPU, MPI_OPA, and MPI_IB clusters and a High Throughput Computing (HTC) cluster designed for Health Sciences Research. Multiple data storage options are available, each consisting of hundreds of terabytes.
Pittsburgh Supercomputing Center
Pittsburgh Supercomputing Center is a joint effort of Carnegie Mellon University and the University of Pittsburgh. Established in 1986, PSC is supported by several federal agencies, the Commonwealth of Pennsylvania and private industry and is a leading partner in XSEDE (Extreme Science and Engineering Discovery Environment), the National Science Foundation cyberinfrastructure program.
PSC provides university, government and industrial researchers with access to several of the most powerful systems for high-performance computing, communications and data storage available to scientists and engineers nationwide for unclassified research. PSC advances the state of the art in high-performance computing, communications and data analytics and offers a flexible environment for solving the largest and most challenging problems in computational science.