HeAT -- a Distributed and GPU-accelerated Tensor Framework for Data Analytics

27 Jul 2020Markus GötzDaniel CoquelinCharlotte DebusKai KrajsekClaudia ComitoPhilipp KnechtgesBjörn HagemeierMichael TarnawaSimon HanselmannMartin SiggelAchim BasermannAchim Streit

In order to cope with the exponential growth in available data, the efficiency of data analysis and machine learning libraries have recently received increased attention. Although corresponding array-based numerical kernels have been significantly improved, most are limited by the resources available on a single computational node... (read more)

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