The mission of the Center for Scientific Computation at Southern Methodist University is to stimulate interdisciplinary education and research in simulation-based engineering and science.
We are motivated by the fact that computer simulation has become an essential component of research in most disciplines in engineering and science, and that advances in computing, networking, and data storage technologies are likely to accelerate this trend. At the same time, it is recognized that our nation's position of dominance in this area can no longer be taken for granted. Thus we believe that the education of the next generation of computational scientists and engineers is an urgent challenge which SMU must accept.
Goals of the CSC
- Education and training focused on high-performance computing algorithms, software, and hardware.
- Formation of interdisciplinary research teams addressing cutting-edge applications.
- Rapid communication of faculty and student research accomplishments.
ManeFrame II (M2)
SMU’s new high-performance compute cluster will dramatically increase the computational capacity and performance that SMU provides to its researchers. The new cluster features state of the art CPUs, accelerators, and networking technologies, significantly more memory per node, and advanced interactive GPU-accelerated remote desktop experiences. Also, the cluster is much more energy efficient making it more economical to run and more environmentally friendly!
The new cluster will provide a similar interactive experience for researchers currently using ManeFrame. Similarities include the CentOS 7 operating system (replacing Scientific Linux 6; both are Red Hat Enterprise Linux derivatives), the SLURM resource scheduler, and the Lmod environment module system. Additionally, updated, but familiar, development tool chains will be available including the GCC, Intel, and PGI compiler suites. Optimized high-level programming environments such as MATLAB, Python, and R will also be installed in addition to the domain specific software packages that SMU researchers depend on for their work.
More information on ManeFrame II and use can be found here. If you currently use ManeFrame I, you can find more information about transitioning to ManeFrame II here.
|Number of Nodes
|Intel CPU Cores (AVX2)
|Total Accelerator Cores
||29.2 TB (29,856 GB)
||116.5 TB (119,336 GB)
||120 TB (122,880 GB)
|Node Interconnect Bandwidth
||1.4 PB (1,229 TB)
||1.4 PB (1,434 TB)
||2.8 PB (2,867 TB)
||Scientific Linux 6
Request an Account
SMU faculty/staff can request an account by filling out the New Account Form. If you are a student or postdoc please ask your supervisor, sponsor, or adviser to submit the New Account Form.
If you are an external research collaborator please have your sponsor request a sponsored account at email@example.com. Once the account has been created the sponor can request an M2 account via New Account Form.
More information on account management can be found here.
Here you can can find information on how to effectively use SMU’s HPC resources. Topics covered in the documentation include:
For questions about using resources or setting up accounts please email the SMU HPC Admins with "HPC" in the subject line.
The Spring 2020 Center for Research Computing (CRC) workshop series will provide a hands-on experience that will guide researchers from the basics of using SMU's supercomputing resources to advanced parallelization and application specific usage. The topics will cover information useful for researchers to quickly begin to use the advanced compute capabilities provided with the cluster. New users are encouraged to take advantage of the introductory "Introduction to Using M2" workshop that will be given once monthly during the semester.
Workshops will be given weekly on Tuesdays in Fondren Library East Room 110 from 2:00 to 4:00 PM. There will not be a workshop on March 17.
||Introduction to LAPACK and BLAS
||Text Mining with Python on M2 (Lead by Dr. Eric Godat)
||Using the New HPC Portal
||Writing Portable Accelerator Code with KOKKOS, RAJA, and OCCA
||Introduction to Parallelization Using MPI
||No Workshop Spring Break
||Writing High Performance Python Code
||Creating Portable Environments with Docker and Singularity
||Introduction to Parallelization Using OpenMP and OpenACC
||Profiling Applications on M2
||Improving Code Vectorization
Report HPC Usage
Faculty are encouraged to report their usage of SMU’s HPC facilities here
. The data will be used to assess and document usage of these resources.