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PDPTA
2010
13 years 6 months ago
Data-Parallelism and GPUs for Lattice Gas Fluid Simulations
Lattice gas cellular automata (LGCA) models provide a relatively fast means of simulating fluid flow and can give both quantitative and qualitative insights into flow patterns aro...
Mitchel Johnson, Daniel P. Playne, Kenneth A. Hawi...
ASPLOS
2008
ACM
13 years 10 months ago
Optimistic parallelism benefits from data partitioning
Recent studies of irregular applications such as finite-element mesh generators and data-clustering codes have shown that these applications have a generalized data parallelism ar...
Milind Kulkarni, Keshav Pingali, Ganesh Ramanaraya...
ICFP
2008
ACM
14 years 8 months ago
Implicitly-threaded parallelism in Manticore
The increasing availability of commodity multicore processors is making parallel computing available to the masses. Traditional parallel languages are largely intended for large-s...
Matthew Fluet, Mike Rainey, John H. Reppy, Adam Sh...
ICDCS
1998
IEEE
14 years 29 days ago
Granularity Control for Distributed Execution of Logic Programs
Distributed execution of logic programs requires a match of granularity between a program and the distributed multi-processor it runs on to exploit its potential for performance f...
George Xirogiannis
HPCN
1995
Springer
14 years 8 days ago
Exploiting high performance Fortran for computational fluid dynamics
Abstract. We discuss the High Performance Fortran data parallel programming language as an aid to software engineering and as a tool for exploiting High Performance Computing syste...
Kenneth A. Hawick, Geoffrey Fox