The Center for Scientific Computation provides the main resource for
scientific computing collaboration at Southern Methodist University.
Members of the CSC have access to the large-scale SMU computing
cluster. This cluster currently has:
- 163 batch worker nodes, connected with a gigabit ethernet network:
- 107 are 8-core nodes (856 total cores), each with 48 GB of memory and 250 GB of local disk space.
- 56 are 12-core nodes (672 total cores), each with 72 GB of memory and 500 GB of local disk space.
- 48 parallel nodes, connected with an Infiniband high-speed network for MPI-based parallel computing:
- 16 are 8-core nodes (128 total cores), each with 48 GB of memory and 500 GB of local disk space.
- 32 are 12-core nodes (384 total cores), each with 72 GB of memory and 500 GB of local disk space.
- 2 high-memory data analysis and shared-memory parallel nodes, each
with 8 cores, 144 GB of RAM, and
3 TB of local disk space.
- 1 GPU computing node, with 8 CPU cores, 6 GB of RAM
and 2 NVIDIA GTX 295 cards. Each of these GPU cards has 960 GPU cores and 3585 MB of RAM.
- One 320 TB parallel Lustre file system is attached to all nodes.
- OS: Scientific Linux 5.5 (64 bit).
- Scheduler: Condor
- The software stack for the full cluster includes a variety of high performance mathematics and software libraries, as well as the GNU, NAG and PGI compiler suites.
- The two high-memory nodes also have Matlab installed, for interactive data analysis.
For information on obtaining a user account on the SMU computing
cluster, see this
page (SMU internal).
Faculty are encouraged to contribute to the cluster via the CSC's Faculty Partnership Program.