Multi-core acceleration of chemical kinetics for simulation and prediction

This work implements a computationally expensive chemical kinetics kernel from a large-scale community atmospheric model on three multi-core platforms: NVIDIA GPUs using CUDA, the Cell Broadband Engine, and Intel Quad-Core Xeon CPUs. A comparative performance analysis for each platform in double and...

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Veröffentlicht in:	Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis S. 1 - 11
Hauptverfasser:	Linford, John C., Michalakes, John, Vachharajani, Manish, Sandu, Adrian
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	New York, NY, USA ACM 14.11.2009
Schriftenreihe:	ACM Conferences
Schlagworte:	Applied computing > Physical sciences and engineering Atmospheric modeling cell broadband engine chemical kinetics Chemical reactions Chemicals Codes Computational modeling Computer architecture Computer systems organization > Architectures > Parallel architectures > Multiple instruction, multiple data Computing methodologies > Concurrent computing methodologies > Concurrent programming languages Graphics processing units kinetic preprocessor Kinetic theory Mathematical models multi-core NVIDIA CUDA open-MP Software and its engineering > Software notations and tools > General programming languages > Language types > Concurrent programming languages Vectors multi-core open-MP chemical kinetics NVIDIA CUDA kinetic preprocessor atmospheric modeling cell broadband engine
ISBN:	1605587443, 9781605587448
ISSN:	2167-4329
Online-Zugang:	Volltext
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