Spark-MPI: Approaching the Fifth Paradigm of Cognitive Applications [article]

Nikolay Malitsky, Ralph Castain, Matt Cowan
<span title="2018-05-16">2018</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Over the past decade, the fourth paradigm of data-intensive science rapidly became a major driving concept of multiple application domains encompassing and generating large-scale devices such as light sources and cutting edge telescopes. The success of data-intensive projects subsequently triggered the next generation of machine learning approaches. These new artificial intelligent systems clearly represent a paradigm shift from data processing pipelines towards the fifth paradigm of composite
more &raquo; ... ognitive applications requiring the integration of Big Data processing platforms and HPC technologies. The paper addresses the existing impedance mismatch between data-intensive and compute-intensive ecosystems by presenting the Spark-MPI approach based on the MPI Exascale Process Management Interface (PMIx). The approach is demonstrated within the context of hybrid MPI/GPU ptychographic image reconstruction pipelines and distributed deep learning applications.
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="">arXiv:1806.01110v1</a> <a target="_blank" rel="external noopener" href="">fatcat:x6mmqowmkje7heitxvhaf5fsui</a> </span>
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