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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
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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