Machine Learning to Power HPC & Big Data Convergence

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Over at ISC Events, Flavio Villanustre writes that convergence of HPC and Big Data applications is being driven by machine learning.

The intersection of these two domains is mainly driven by the use of machine learning methodologies to extract knowledge from big data, and we see an increasing number of platforms that are combining these capabilities to provide hybrid environments that can take advantage of data locality to keep the data exchanges over the network at a manageable level while they offer high performance distributed linear algebra libraries.

Villunustre will keynote the first annual ISC Big Data conference in Heidelberg on Sept. 26. Read the Full Story.

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