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.

Ultra-Fast, High-Fidelity Computational Fluid Dynamics on GPUs for Automotive Aerodynamics

This article is brought to you by: 

Altair ultraFluidX™ is a simulation tool for ultra-fast prediction of the aerodynamic properties of passenger and heavy-duty vehicles as well as for the evaluation of building and environmental aerodynamics. In this paper, the results of wind tunnel tests are compared with the numerical results of this GPU-based CFD solver.

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