Bridging the HPC Talent Gap with Computational Science Research Methods BRIDGE Workshop at ICCS 2016 | Zendy

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Bridging the HPC Talent Gap with Computational Science Research Methods BRIDGE Workshop at ICCS 2016

Author(s) -

Nia Alexandrov

Publication year - 2016

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2016.05.536

Subject(s) - bridging (networking) , computer science , bridge (graph theory) , aerospace , supercomputer , field (mathematics) , management science , science and engineering , data science , computational science , engineering ethics , aerospace engineering , parallel computing , medicine , computer network , mathematics , pure mathematics , engineering , economics

Computational Science, an interdisciplinary field that melds basic sciences, mathematical modelling, quantitative analysis techniques and High-performance Computing (HPC) techniques, is proving integral in addressing the big problems in industries ranging from manufacturing and aerospace, to drug design and risk management. With the advances in HPC and with the advent of Data Science there is a clear and recognized need of researchers and scientists to further develop their skills and in particular: mathematical skills, problem solving and analytical skills

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