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Table of Contents
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Math Department Computing Resources
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
Linux resources
Researchers in SMU's Department of Mathematics have access to
the shared SMU research computing cluster (SMUHPC):
- 163 batch worker nodes, connected with a gigabit ethernet
network:
- 107 are 8-core Intel Xeon 2.53 GHz nodes with 48 GB RAM each
- 56 are 12-core Intel Xeon 2.8 GHz nodes with 72 GB RAM each
- 48 MPI nodes, connected with an Infiniband high-speed
network:
- 16 are 8-core Intel Xeon 2.53 GHz nodes with 48 GB RAM each
- 32 are 12-core Intel Xeon 2.8 GHz nodes with 72 GB RAM each
- 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 5.5 (64 bit)
- Usage: research
- Scheduler: Condor
- Software: Matlab, GNU compilers, PGI compilers, NAG
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.
- Zeno (department server):
- CPU: 2 16-core AMD Interlagos CPUs @ 2.1 GHz per core
(32 total cores)
- RAM: 32 GB @ 1333 MHz
- OS: RHEL 6
- Usage: research and instruction
- Software: Matlab, Mathematica, X-Maple, gcc 4.4
compiler suite (gcc, g++, gfortran), MPICH2
- 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
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