Marc Casas

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Marc Casas is a senior researcher at the Barcelona Supercomputing Center (BSC). He received a 5-years degree in mathematics in 2004 from the Technical University of Catalonia (UPC) and a PhD degree in Computer Science in 2010 from the Computer Architecture Department of UPC.

He was a postdoctoral research scholar at the Lawrence Livermore National Laboratory (LLNL) from 2010 to 2013 working on algorithmic-based fault tolerance and active measurement methods based on software interference. He has received several awards, like a Marie Curie Fellowship, and some of his papers have been awarded in conferences like Euro-Par or Supercomputing (SC).

His current research interests are high performance computing architectures, runtime systems and parallel algorithms. He is currently involved with the RoMoL and the Montblanc3 projects as well as the IBM-BSC Deep Learning Center. 

Last edit: 19/4/2017

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