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Last Updated 6/9/2017 8:59 AM
Center for High Performance Computing
Director(s): Malcolm Tobias, PhD
Contact: Malcolm Tobias
Phone: 314 362 1594
Email: mtobias@wustl.edu
Campus: Medical Campus Campus Box: 8131
School/Unit: Medicine
Academic Department: Radiology
*Please contact this Core directly for physical location
Core Location
Building Name: East Imaging
Room Number: 3352
Core Summary
CHPC provides access to high performance computing resources, a broad spectrum of scientific computing software, and expert support to help faculty make use of deep computing resources. Usage is free to all faculty of Washington University from contributing departments.
Service available to:
All entities, including for-profit organizations

Priority service for:
Specific groups, centers or departments – see Additional Information for details

Additional Information:

Departments and large projects may pay a fee for priority access including the ability to utilize the complete system and to directly attach their high capacity storage system.


  • Institute for Clinical and Translational Sciences (ICTS) School of Engineering and Applied Science
Core Details

The Center for High-Performance Computing (CHPC) provides the resources and expertise to tackle any computationally-intense research project undertaken by the Washington University research community. Located in the university's Genome Institute's 16,000-sq-ft Tier 4 data center at the medical school, the CHPC offers users access to ~2,500 computing cores, 19TB of memory and 43TFLOP/s of computing power as well as high-speed networking, bulk storage and technical support. Our service is free to members of contributing departments at the medical school and Danforth Campus. We exist to facilitate the production of science.

Since our inception in 2010, we have processed over 7.8 million research jobs. We have processed ~30 million processors' hours of work. This would take a single PC-core approximately 3,450 years to accomplish.

In January 2015 a new cluster came on line and offering 4x the current performance for most applications.


  • The CHPC provides access to High Performance Computing resources and the expertise necessary to tackle any computationally intensive scientific project. CHPC offers the following services: Access to a professionally managed High Performance Computing System (2,500 high speed processors configured in both a distribute processing cluster and 7 high capacity, large memory symmetric multiprocessing units, 19 TB of memory, and 150 TB of internal high speed shared storage); Access to over 85 pre-installed software packages that support molecular modeling, genomic analysis, advanced imaging, statistics and mathematical analysis (link to the software page); Access to software development tools including all common MPI libraries; Support for user access and the ability to request new software be added to the system; Consultation with CHPC staff on parallel computing and software optimization; Easy access to parallel computing through MATLAB, based on a 256-worker license for the MATLAB Distributed Computing Server and the MATLAB Parallel Computing Toolbox

  • Three high performance computing clusters that feature: distributed memory, shared mamory SMP, and GPU computing capabilities all managed by MOAB/Torque. All systems run Linux. Currently a 150TB storage cache is available.
Pricing - subject to verification from the Core Facility.

Access is free to all WUSTL faculty, their students and collaborators.  After 1 year of free access the relevant department is asked to opt in to the funding model which requires an annual departmental contribution.  Currently this contribution is set at $5250 per year with a second tier of service at $10,250 for high volume users.  When a department opts in to the funding model all associate faculty and staff will continue to have free acces to all services of the facility.  Some projects and schools require extensive or priority access. They may make special arrangements with the Center Director to have priority service and access for a higher fee.

Additional Keywords
Super Computer GPU computing