The Department of Mathematics has extensive computer facilities for both research and course work, including workstations for graduate students and faculty as well as department servers and clusters for course instruction and research. Personal workstations running Linux and Windows in a laboratory setting are provided for Master's students, while Ph.D. students are provided with a workstation on their desktop.

Department Computing Policies
General notes about department workstations

Researchers in SMU's Department of Mathematics have access to the shared SMU research computing cluster (SMUHPC):

• 123 worker nodes, each with 2 quad-core Intel Xeon 2.53 GHz processors (984 total) and 48 GB RAM (5.9 TB total)
• 16 of the above worker nodes are connected with an Infiniband high-speed network
• 2 high memory data analysis and shared-memory parallel nodes, each with 2 quad-core Intel Xeon 2.66 GHz processors, 144 GB RAM, and 3 TB of local disk space.
• 1 GPU computing node, with 2 quad-core Intel Xeon 2.26 GHz processors, and 2 NVIDIA GTX 295 cards (each has 960 GPU cores).
• One 320 TB parallel file system (Lustre) is attached to all nodes.
• OS: Scientific Linux 5.3 (64 bit)
• Usage: research
• Software: Matlab (highmem1 and highmem2), GNU compilers, PGI compilers, hdf5, fftw, mpich2, mvapich2, python, R, ...

For more information on the SMUHPC cluster, see the SMU HPC Wiki. For access to this system, contact Justin Ross (ross@smu.edu).

Information on departmental servers and clusters is found below. For access to these systems, contact Prof. Daniel Reynolds.

• Coe (department server):
  • CPU: 2 quad-core Intel (8 total)
  • RAM: 24 GB
  • OS: Linux
  • Usage: research and instruction
  • Software: Matlab, Intel Fortran, NAG Fortran, gfortran


• Morgan:
  • CPU: 17 nodes, each with two 3.0 GHz Intel EM64 Xeon processors (34 total), all connected via an Infiniband high-speed network.
  • RAM: 4 GB each (68 GB total)
  • OS: SuSE 10 Linux
  • Usage: research and instruction
  • Software: Matlab, Intel Fortran, Intel C/C++, gfortran, MPICH, MVAPICH


• Blackbeard:
  • CPU: 4 Opteron 2800
  • RAM: 6 GB
  • OS: Red Hat Enterprise Linux 5
  • Usage: research and instruction
  • Software: Matlab, Intel Fortran, gfortran, MPICH


• Treebeard:
  • CPU: 2 Intel P4
  • RAM: 8 GB
  • OS: Red Hat Enterprise Linux 5
  • Usage: research and instruction
  • Software: Matlab, Intel Fortran, gfortran, MPICH