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.
Bamboo source to source translation of MPI to data driven form
Mint, A Programming Model for GPU accelerators
Saaz, ad-hoc query of CFD data
Tarragon, data driven task graph library.
MCELL-K, a scalable cell microphysiology simulator.
Adaptive subsampling, an in-memory compression algorithm scientific data
Thyme, graph driven execution substrate
Scallop, a scalable fast 3-D Poisson solver.
Multi-tier programming for hierarchically constructed parallel computers.
Intelligent Material Design using ab-initio molecular dynamics
Maintained by Scott B. Baden. Last Modified: August 16, 2012.