Published on 01 January 2017
Data, plotting scripts, and figures for "Accelerating finite-rate chemical kinetics with coprocessors: comparing vectorization methods on GPUs, MICs, and CPUs"
View DatasetStone, Christopher P;Alferman, Andrew T;Niemeyer, Kyle
Description
This bundle of files contains all the data and plotting scripts "Accelerating finite-rate chemical kinetics with coprocessors: comparing vectorization methods on GPUs, MICs, and CPUs", as well as the figures themselves.
These results are part of the paper:Christopher P Stone, Andrew T Alferman, and Kyle E. Niemeyer, and Chih-Jen Sung. "Accelerating finite-rate chemical kinetics with coprocessors: comparing vectorization methods on GPUs, MICs, and CPUs," 2017. Under review, available via https://arxiv.org/abs/1608.05794
Citations (1)
Cited on 07 February 2018
Weight: 1.23
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Publication Details
Subfield
Computational Theory and Mathematics
Field
Computer Science
Domain
Physical Sciences
Confidence Score
83%
Source
Open Alex
Keywords
90201 Automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels)FOS: Environmental engineering90405 Non-automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels)30703 Reaction Kinetics and DynamicsFOS: Chemical sciences10109 Ordinary Differential Equations, Difference Equations and Dynamical SystemsFOS: Mathematics