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Maximum Performance Computing with Dataflow Engines
July/August 2012 (vol. 14 no. 4)
pp. 98-103
Oliver Pell, Maxeler Technologies
Vitali Averbukh, Imperial College London
Multidisciplinary dataflow computing is a powerful approach to scientific computing that has led to orders-of-magnitude performance improvements for a wide range of applications.

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Index Terms:
Computational modeling,Computer architecture,Computational algorithms,Scientific computing,Data processing,computer architectures,Computational modeling,Computer architecture,Computational algorithms,Scientific computing,Data processing,scientific computing,dataflow computing,exascale processing,computational science
Citation:
Oliver Pell, Vitali Averbukh, "Maximum Performance Computing with Dataflow Engines," Computing in Science and Engineering, vol. 14, no. 4, pp. 98-103, July-Aug. 2012, doi:10.1109/MCSE.2012.78
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