Penguin Computing today announced that it has deployed a new turnkey HPC solution at the University of Pittsburgh's Center for Simulation and Modeling. The university has added a powerful new Penguin Intel Nehalem-based 800-core Linux cluster to an existing 116-node cluster and integrated the two using Penguin's Scyld cluster management software. The Penguin hardware and software solution significantly extends the compute power at the University of Pittsburgh while also providing more efficient and productive cluster management across the entire environment.

"Many of the world's leading educational institutions are now conducting vital research using Penguin's HPC solutions, and we are thrilled to add the University of Pittsburgh to our growing family of customers in higher education," stated Charles Wuischpard, president and CEO at Penguin Computing. "The Center has also acquired a Penguin nVidia GPU system, and we look forward to continuing to provide Penguin's complete package of hardware, software and expertise to the team at the Center for Simulation and Modeling."

Many of the world's leading educational institutions are now conducting vital research using Penguin's HPC solutions, and we are thrilled to add the University of Pittsburgh to our growing family of customers in higher education

The university's Center for Simulation and Modeling (www.sam.pitt.edu) is co-directed by Dr. Kenneth D. Jordan, Distinguished Professor of Computational Chemistry, and Dr. Karl Johnson, Professor and Interim Chair of Chemical Engineering. The Center is dedicated to supporting and facilitating computational-based research across the university, and serves as a catalyst for multidisciplinary collaborations among professors, sponsors modeling-focused seminars, teaches graduate-level modeling courses and provides individual consultation in modeling to all researchers at the university.

The Center for Simulation and Modeling provides a wide range of applications that include computer-aided design and characterization of new materials, computational approaches applied to energy and sustainability issues, and ion transport through biological ion channels.