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 cross-disciplinary. Browse our publications. Current Projects Bamboo source to source translation of MPI to data driven form Mint, A Programming Model for GPU accelerators Saaz, computational database for fluid dynamics Tarragon, fine-grained asynchronous data driven computation. MCELL-K, a scalable cell microphysiology simulator. Past Projects Adaptive subsampling, an in-memory compression algorithm scientific data Thyme, graph driven execution substrate 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: May 14, 2011.	Current Members Professor Scott B. Baden (Director) Yajaira Gonzalez Ted Hromadka III Alden King Nhat Tan Nguyen Putt Sakdhnagool Didem Unat Alumni Zia Ansari Gregory Balls Pietro Cicotti Stephen J. Fink Joey Hammer Bill Kerney Scott Kohn Stephen Lau Fred Lionetti Federico Sacerdoti Urvashi Rao Venkata