Marc Casas

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Marc Casas is a senior researcher at the Barcelona Supercomputing Center (BSC) and lecturer at the Universitat Politècnica de Catalunya (UPC). His research focuses on the analysis and simulation of high-performance computing systems, on developing efficient mathematical libraries for scientific computing, and on improving computer architectures and parallel systems via accurate prediction methodologies. He is the main creator of the MUltiscale-Simulation Approach (MUSA), a simulation and analysis tool for large-scale systems and applications. He is the technical lead of the SONAR (SOftware Research vehicles for New ARchitectures) research group, composed of PhD students, engineers, and postdocs. Marc has lead BSC contributions to several european projects (Mont-Blanc2020, European Processor Initiative, etc.), and research collaborations with Intel and IBM. Marc's research has been published at the best high-performance computing (SC, PPoPP, HPDC) and computer architecture (ISCA, MICRO, HPCA) venues.

Marc has been at BSC since 2013. He was a postdoctoral research scholar at the Lawrence Livermore National Laboratory (LLNL) from 2010 to 2013. He received the Marie Curie and Ramón y Cajal Fellowships on 2014 and 2018, respectively. He obtained a 5-years degree in mathematics in 2004, and a PhD degree in Computer Science in 2010 from the Universitat Politècnica de Catalunya (UPC).



Last edit: 31/08/2021

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