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» CGiS, a new Language for Data-parallel GPU Programming
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VMV
2004
183views Visualization» more  VMV 2004»
13 years 5 months ago
CGiS, a new Language for Data-parallel GPU Programming
In the last few years, GPUs have become new, promising targets for general purpose programming. Their inherent parallel architecture makes them particularly suited for scientific ...
Nicolas Fritz, Philipp Lucas, Philipp Slusallek
PDPTA
2010
13 years 2 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
2006
ACM
13 years 10 months ago
Accelerator: using data parallelism to program GPUs for general-purpose uses
GPUs are difficult to program for general-purpose uses. Programmers can either learn graphics APIs and convert their applications to use graphics pipeline operations or they can ...
David Tarditi, Sidd Puri, Jose Oglesby
ICFP
2012
ACM
11 years 6 months ago
Nested data-parallelism on the gpu
Graphics processing units (GPUs) provide both memory bandwidth and arithmetic performance far greater than that available on CPUs but, because of their Single-Instruction-Multiple...
Lars Bergstrom, John H. Reppy
PLDI
2011
ACM
12 years 7 months ago
Automatic compilation of MATLAB programs for synergistic execution on heterogeneous processors
MATLAB is an array language, initially popular for rapid prototyping, but is now being increasingly used to develop production code for numerical and scientific applications. Typ...
Ashwin Prasad, Jayvant Anantpur, R. Govindarajan