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August/September 2007 News Letter

Texas Tech University

High Performance Computing Center

August/September 2007 Newsletter

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1. User Profiles: Bill Hase & Yu Zhuang

2. Usage of High Memory System

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1. User Profiles: Bill Hase & Yu Zhuang

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Bill Hase, Department of Chemistry and Biochemistry, is PI and Yu Zhuang, Department of Computer Science, is co-PI of a $2,500,000 NSF Partnerships for International Research and Education (PIRE) grant awarded to Texas Tech University to fund a project entitled "Simulations of Electronic Non-Adiabatic Dynamics for Reactions with Organic Macromolecules, Liquids, and Surfaces. 

 

The grant provides $500,000/year support for five years to develop algorithms and software for the simulations and to apply them to a range of problems including reactions of energetic oxygen atoms with polymer surfaces on spacecraft and radiation-induced chemical bond-breaking in biomolecules such as DNA. Their research collaborators for this grant are at Iowa State University, Yale University, University of Santiago de Compostela (Spain), University of Pisa (Italy) and University of Vienna (Austria).

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2. Usage of High Memory System on Hrothgar

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Swapnil Kohale, a graduate student in the department of Chemical Engineering working in Dr. Rajesh Khare’s group, has been doing molecular dynamics simulations with systems containing as many as 60k atoms. The simulations are typically run for around 33 million steps and take about 3-4 weeks to finish. In the future, the department plans to work with systems containing around 240k atoms. Such huge systems take more than 13GB of memory.  The largest serial job that can run on general purpose nodes is less than 12GB. 

 

The inclusion of High Memory (HiMem) queue on Hrothgar, which currently contains a single machine with 64GB of memory, has enabled Dr. Khare’s group to run these simulations using existing serial code. It has been of great benefit as it helps in studying larger systems that are required to investigate physical phenomena that take place on longer time and length scales.

 

Srirangam Addepalli, Support Specialist for the High Performance Computing Center, has been working with the queuing system and with problems related to the cluster. Contact him if you have a serial problem with large memory requirements.