HPC

LIVE WEBINAR: GPU Accelerated Scientific Machine learning with Large Data Sets

Tuesday 15 June @ 2pm (UK)

The time to publication of Data-Driven Research can be decreased through GPU-Accelerated Data Science.  Large proportion of tools used for scientific analysis and machine learning (e.g. Pandas, SciKit Learn, NetworkX or Spark) have GPU-accelerated variants. We'll discuss how, by changing just a few lines of code, research teams can accelerate their experiments by several orders of magnitude, significantly reducing hardware-associated cost or data processing/training times.

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PRACE encourages industry

Robert Roe speaks with Lee Margetts, chair of PRACE’s industrial advisory committee, about its work to increase the engagement of industrial HPC users

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