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

HPC and Quantum Summit 2019

The scientific world joins its powers to drive HPC R&D forward and, with the rise of Supercomputing and Quantum technologies, it requires continual industrial development in software engineering and computer science.

Join our expert speakers to learn about new products and applications, and to discuss how to develop systems that meet industrial needs and extract value from big data.

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