Process Modeling and Distributed Computing Lab
Mission: "To apply cutting edge mathematical and computational techniques to develop a strong understanding of the underlying rules that govern complex productive and biological systems".
The PMDC lab has two scientific clusters:
"Eowyn" Production cluster
80 cores, CPU Quad Core AMD Opteron™, 16 x 10 GBi RAM, 1 TBi disk space in RAID 1, connected trough a 1 Gbs network switch. NEW UPDATE: 40 cores Intel Xeon, 2 x GBi RAM, Two Tesla K20X cards (2x2496 GPU cores). 3 TBi disk space in RAID 1
Eowyn's real-time status by ganglia here (only available inside University intranet).
"Gandalf" Teaching cluster
8 cores, Pentium™ III, 1 x 4 GBi RAM, 1 TBi disk space in RAID 1, connected trough a 1 Gbs network switch.
Most of the scientific software deployed in the cluster is Open Source, and includes an Open MPI framework, compilers and interpreters (Intel C, C++, F77/90, Perl, Python), mathematical environments (Scilab, Octave), molecular modeling suites (Modeller), molecular dynamic simulations software (NAMD Gromacs, Tinker, Amber, CHARMM) and molecular docking packages (Autodock, Autodock Vina, Gramm) for naming a few.
The installation of proprietary software is allowed, but a proper licence is required.
The lab's hardware and software is open for being used in collaborative research initiatives. Please contact me at firstname.lastname@example.org