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DTSTAMP:20230831T095747Z
LOCATION:Flüela
DTSTART;TZID=Europe/Stockholm:20230628T113000
DTEND;TZID=Europe/Stockholm:20230628T120000
UID:submissions.pasc-conference.org_PASC23_sess144_msa267@linklings.com
SUMMARY:Julia with MPI: Challenges and Best Practices
DESCRIPTION:Minisymposium\n\nSimon Byrne (California Institute of Technolo
 gy)\n\nIn this talk, we will delve into the challenges of using Julia with
  MPI and how to overcome them. Being a dynamic language, Julia presents un
 ique issues that may not be familiar to users of static languages such as 
 C or Fortran. We will explore common pitfalls that arise from configuring 
 binary dependencies, compiling, and managing garbage collection, which can
  lead to errors and scaling bottlenecks. To tackle these challenges, we wi
 ll suggest practical approaches and tools for identifying and fixing these
  issues.\n\nDomain: Computer Science, Machine Learning, and Applied Mathem
 atics 
\n\nSession Chair: Samuel Omlin (ETH Zurich / CSCS)
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