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
Panda, A directive based, domain-specific serial C/C++ to MPI source-to-source translator
Mint, A Programming Model for GPU accelerators
Tarragon, data driven task graph library.
Saaz, ad-hoc query of CFD data
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.
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)
Intelligent Material Design using ab-initio molecular dynamics
Maintained by Scott B. Baden.
Professor Scott B. Baden (Director)