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MATLAB for HPC at Jülich Supercomputing Center (JSC) is a hybrid workshop on parallel computing using large compute resources. The workshop includes hands-on exercises where you learn how to effectively use MATLAB and MATLAB Parallel Server to speed up your computations on the cluster at the Jülich Supercomputing Center.
The course will be delivered in hybrid mode. You can attend the course on-site (09:00-12:30) on November 6th, 2023, at the Jülich Supercomputing Centre or online.
Note: There are two separate registration forms for on-site and online participation.
Attendees will learn the following:
Beginner/Intermediate: Students, postdocs, and other academic users with a beginner/intermediate knowledge of MATLAB and/or using MATLAB for parallel computing on an HPC cluster. Users from commercial backgrounds are welcome to attend, but cannot access the cluster hands-on.
English
Raymond Norris, MATHWORKS
Raymond Norris has worked at MathWorks for over 25 years as a Quality Engineer, a Technical Consultant, and now, most recently, as an Application Engineer. He has written training courses and workshops at MATHWORKS on MATLAB Compiler, MEX, and Parallel Computing. Raymond currently leads a small team of engineers to integrate MATHWORKS parallel tools with end-users' HPC cluster and cloud environments.
Raymond holds a B.S. in computer science and applied mathematics from the University of Massachusetts Boston and an M.S. in software engineering from Brandeis University.
The CoE RAISE and the EuroCC 2 projects support this course.
The EuroCC 2 project has received funding from the European High-Performance Computing Joint Undertaking (JU) under grant agreement No 101101903. The JU receives support from the Digital Europe Programme and Germany, Bulgaria, Austria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Greece, Hungary, Ireland, Italy, Lithuania, Latvia, Poland, Portugal, Romania, Slovenia, Spain, Sweden, France, Netherlands, Belgium, Luxembourg, Slovakia, Norway, Türkiye, Republic of North Macedonia, Iceland, Montenegro, Serbia.
The CoE RAISE project has received funding from the European Union’s Horizon 2020 – Research and Innovation Framework Programme H2020-INFRAEDI-2019-1 under grant agreement no. 951733.