RCE 25: SC10 Student Cluster Competition

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Created on Sunday, 31 January 2010 05:10

Written by Brock Palen

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Brock Palen and Jeff Squyres speak with Hai Ah Nam of Oak Ridge, Tiki Suarez-Brown of Florida A&M, and Doug Smith of The University of Colorado about the Student Cluster Competition at Super Computing 2010.

Tiki L. Suarez-Brown, Ph.D. is an Associate Professor within the Information Systems and Operations Management Department, School of Business and Industry at Florida A&M University. Her research interests include Management Information Systems, Collaborative Environments, and High Performance Computing.
Dr. Suarez-Brown served as the Broader Engagement (BE) Program chair for the ACM/IEEE SuperComputing (SC)09 conference, which was held in Portland, Oregon November 2009. The Broader Engagement Program strives to identify and involve individuals from under-represented communities who have an interest in high performance computing. Over 90 individuals participated in the SC09 BE program in Portland, OR.
Dr. Suarez-Brown currently serves as the SC10 Student Cluster Challenge Communities Chair, which will be held in New Orleans, LA. The Student Cluster Competition (SCC) showcases next‐generation high‐performance computing talent harnessing the incredible power of current‐generation cluster hardware. In this real‐time challenge, teams of six undergraduate and/or high school students assemble a small cluster of their own design on the SC exhibit floor and race to correctly complete the greatest number of application runs during the competition period. The winning team will be chosen based on workload completed, benchmark performance, and overall knowledge of the applications. Additional awards will be given for the most power-efficient design and fan-favorite.

Hai Ah Nam is a research scientist in the Scientific Computing Group within the National Center for Computational Sciences (NCCS) at ORNL, and a member of the Physics division. She specializes in theoretical low-energy nuclear physics and high performance computing. Prior to joining ORNL in 2008, Hai Ah worked with Lawrence Livermore National Laboratory in conjunction with her doctoral work where she studied the structure of atomic nuclei using the ab initio no-core shell model. Her current work involves developing and scaling several theoretical nuclear models, including monte carlo methods, shell model, coupled-cluster, and density functional theory for frontier scientific calculations on the leadership class supercomputers at ORNL. Hai Ah will receive her PhD in Computational Science through the joint doctoral program at San Diego State University and Claremont Graduate University in 2010. She received her M.S. in Physics from Carnegie Mellon University in 1999 and B.A. in Physics from Scripps College in 1997.