[Workshop] Efficient Scientific Computing with Julia

Date

2019年7月17日 (水) (All day)2019年7月19日 (金) (All day)

Location

C700, Lab 3

Description

Scientific computing is a cornerstone of research, many scientific projects now involve coding in some form and doing so in a performant and reproducible manner is a requirement to contribute effectively. This course uses Julia to teach the fundamentals of best practices for reproducible code, performance analysis, and contributing to open-source. It furthermore focuses on aspects of HPC computing necessary to analysis and study large problems — in particular GPU computing.

The teacher will be Valentin Churavy, PhD student at MIT. Valentin used to be an OIST student and now works on distributed heterogeneous computing with Julia.
 
July 17 to 19, from 10AM to 5:30PM
 
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