Extending OmpSs to Support Data Analytics Workload

2017 INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING & SIMULATION (HPCS)（2017）

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摘要

In the era of big data, new scientific applications such as those used in astronomy [1] are emerging and challenging High Performance Computing (HPC) systems and software. Traditionally, HPC applications were compute-bounded, with a light use of the I/O capabilites at the start and end of the execution. In contrast, emergent applications present data- intensive behaviors arising several new challenges to be faced by hardware and software.

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关键词

Big Data and Data Analytics,Data Intensive Supercomputing,Libraries and Programming Environments,Fault Tolerance and Resiliency in HPC Systems

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