CSE Scientific Computation Group
	Welcome to the home page for the Scientific Computation Group in the Department of Computer Science and Engineering. The Scientific Computation Group investigates programming abstractions, applications, and implementation techniques for solving scientific problems on high-performance and parallel computers and in analyzing their prodigious output. Our research is multidisciplinary. Browse our publications. Current Projects Saaz, computational database for fluid dynamics Data Compression, an adaptive sub-sampling method for in-memory compression of scientific data Thyme, graph driven execution substrate Tarragon, fine-grained asynchronous data driven computation. MCELL-K, a scalable cell microphysiology simulator. Past Projects Scallop, a scalable fast 3-D Poisson solver. KeLP, a rapid development infrastructure for parallel computations, especially useful for irregular block structured applications. Further information about KeLP applications is available. Multi-tier programming for hierarchically constructed parallel computers. Fast adaptive storage and retrieval (FASTR) LPARX Intelligent Material Design using ab-initio molecular dynamics Cluster Identification Load Balancing Maintained by Didem Unat. Last Modified: Oct 2009.	Current Members Professor Scott B. Baden (Director) Pietro Cicotti Jacob Sorensen Didem Unat Alden King Nhat Tan Nguyen Fred Lionetti Ted Hromadka III Alumni Zia Ansari Gregory Balls Stephen J. Fink Bill Kerney Scott Kohn Stephen Lau David Sacerdoti Shrey Shah Urvashi Rao Venkata