Graduate Program: High-Performance Computing

The Department of Chemical Engineering houses two workstation clusters of significant computational power, designed to support parallel jobs. One cluster consists of 40 dual-CPU Intel-based workstation nodes with 1GB memory each (64 CPUs@600 MHz; 24 CPUs@450) and 100 Mbit Ethernet networking, while the other cluster contains 50 dual-CPU and 17 single-CPU workstations with Intel Pentium and AMD Athlon processors. The Princeton Materials Institute also houses the Keck Computational Materials Science Laboratory used by chemical engineering students and faculty, consisting of three high performance machines: a 128-processor IBM SP Winterhawk-2 supercomputer with 64 GB of memory, and two 64-processor SGI Origin 2000 SMP supercomputers which can be connected through a Cray MetaRouter to provide a second 128-processor supercomputer with 48 GB of memory.