APPLICATIONS

ROUND ROCK, Texas, The University at Buffalo, The State University of New York has added a 300-node Dell high- performance computing cluster (HPCC) to its Center for Computational Research (CCR). The increased computing capacity will assist with various scientific research projects, including groundwater modeling to help predict the flow of contaminants in large bodies of water such as the Great Lakes, computational chemistry and molecular structure determination. It is the second Dell cluster at the university, adding to the 2,000-node HPCC deployed earlier this year to support research in the university's Center of Excellence in Bioinformatics. CCR, the eighth largest supercomputing site in the world, underscores how standards-based computing systems can perform at high levels for complex research. The 300-node cluster recently achieved 2.004 trillion floating-point operations per second (Teraflops) of sustained performance in the LINPACK benchmark test. "Many of our scientists need to exploit a large number of processors operating in a coordinated fashion to jointly solve leading-edge scientific problems that could not be solved in a reasonable amount of time on smaller systems," said Russ Miller, Ph.D., director of the CCR and UB distinguished professor in the Department of Computer Science and Engineering. "Efficient massively parallel processing techniques can be applied to many scientific problems in order to provide cost-effective solutions via clusters based on standard components. A machine like the Pentium 4-based Dell cluster will be used to dramatically reduce the time to solve problems, in many cases from months to hours." The University at Buffalo and many other organizations are increasingly choosing HPCC solutions for data intensive analysis as an alternative to proprietary supercomputers. The latest Top 500 List of supercomputers (www.top500.org) indicates that Dell clusters have a cumulative performance of 6.046 TFLOPS, up from 856 Gigaflops (GFLOPS) in the previous list. The new supercomputing cluster at the University at Buffalo is the highest-ranking Dell system on the list at number 22. Other ranking Dell clusters include: Sandia National Labs (32), Cornell Theory Center (88), University of Utah (89), Penn State University (174), Swineburne University (180), a 100-node configuration of the University at Buffalo's first cluster (187), Dell (207) and the University of Notre Dame (461). A key reason for the popularity of HPCC for supercomputing applications is the ability to deploy solutions based on standardized technologies at a fraction of the cost of a proprietary supercomputer. "Dell's supercomputing clusters enable customers to scale as they grow, as opposed to paying for overcapacity in the legacy supercomputing model," said Russ Holt, vice president and general manager of Dell's Enterprise Systems Group. "The ability to add power and capacity to address demand is very attractive to customers, and very cost-effective."