J. Cristian Salgado

Assistant Professor

Process Modeling and Distributed Computing Lab
Department of Chemical Engineering and Biotechnology
University of Chile

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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.

Software facilities

Both clusters run Linux CENTOS 7.2 + updates as their operative system. Long and mid-run calculations are controlled by a CONDOR queue system.

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.

Collaborations

The lab's hardware and software is open for being used in collaborative research initiatives. Please contact me at jsalgado@ing.uchile.cl

Process Modeling and Distributed Computing Lab main cluster
Cluster's switch and network cables
Cluster's rear view

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