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DOE OSTI · 1461113

Special Issue on Data-Intensive Scalable Computing Systems

Roth, Philip C.·Canon, R. Shane
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Abstract

Traditional high performance computing (HPC) systems were designed from a compute-centric perspective, with an emphasis on high floating point performance. As scientific and analytics applications become more data intensive, there is a need to rethink HPC system architectures, programming models, runtime systems, and tools with a focus on scalable data intensive computing. Industry approaches supporting data intensive applications have been highly successful, leading many in the HPC community to search for ways to adapt them to HPC hardware and software contexts. Conversely, industry looks to the HPC community for their expertise in designing, deploying, and using extremely large and high performance computing systems. This special issue contains seven articles, each of which is an extended version of a paper presented in the 2015 International Workshop on Data Intensive Scalable Computing Systems (DISCS-2015) held in Austin, Texas on November 15, 2015. The workshop program included papers that ranged from programming models to systems software to storage, each with a strong focus on data intensive computing.

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Roth, Philip C., Canon, R. Shane. 2017-01-28. Special Issue on Data-Intensive Scalable Computing Systems. https://doi.org/10.1016/j.parco.2017.01.001

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