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DOE OSTI · 1361292

Exascale computing and big data

Reed, Daniel A.·Dongarra, Jack
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Abstract

Scientific discovery and engineering innovation requires unifying traditionally separated high-performance computing and big data analytics. The tools and cultures of high-performance computing and big data analytics have diverged, to the detriment of both; unification is essential to address a spectrum of major research domains. The challenges of scale tax our ability to transmit data, compute complicated functions on that data, or store a substantial part of it; new approaches are required to meet these challenges. Finally, the international nature of science demands further development of advanced computer architectures and global standards for processing data, even as international competition complicates the openness of the scientific process.

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97 MATHEMATICS AND COMPUTING

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Reed, Daniel A., Dongarra, Jack. 2015-06-25. Exascale computing and big data. https://doi.org/10.1145/2699414

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