BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:Europe/Stockholm X-LIC-LOCATION:Europe/Stockholm BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:19700308T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:19701101T020000 RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20230831T095755Z LOCATION:Flüela DTSTART;TZID=Europe/Stockholm:20230628T110000 DTEND;TZID=Europe/Stockholm:20230628T130000 UID:submissions.pasc-conference.org_PASC23_sess144@linklings.com SUMMARY:MS5B - Julia for HPC: Tooling and Applications (Part 1/2) DESCRIPTION:Minisymposium\n\nNatural sciences and engineering applications increasingly leverage advanced computational methods to further improve o ur understanding of complex natural systems, using predictive modelling or analysing data. However, the flow of large amounts of data and the consta nt increase in spatiotemporal model resolution pose new challenges in scie ntific software development. Also, high-performance computing (HPC) resour ces massively rely on hardware accelerators such as graphics processing un its (GPUs) that need to be efficiently utilised, representing an additiona l challenge. Performance portability and scalability as well as fast devel opment on large-scale heterogeneous hardware represent crucial aspects in scientific software development that can be leveraged by the capabilities of the Julia language. The goal of this minisymposium is to bring together scientists who work on or show interest in large-scale Julia HPC developm ent, including but not restricted to software ecosystems and portable prog ramming models for development, GPU computing multiphysics solvers, and mo re. The selection of speakers with expertise spanning from computer to dom ain science, offers a unique opportunity to learn about the latest develop ment of Julia for HPC to drive discoveries in Earth sciences featuring the next generation of 3D geophysical fluid dynamics solvers to leverage unpr ecedented resolution.\n\nHardware-Level Performance Monitoring in Julia\n\ nJulia is a dynamic programming language that combines two features import ant for high-productivity scientific computing: interactivity and high per formance. These features enable the interactive development of scientific application codes for HPC systems. However, to efficiently utilize the res ource...\n\n\nCarsten Bauer (Paderborn University)\n---------------------\ nSynthesizing Gradient for Parallel Paradigms Using Enzyme in Julia\n\nAut omatic differentiation (AD), i.e., the augmentation of a program to comput e derivatives algorithmically, is a powerful tool in scientific computing, with a wide range of applications such as sensitivity analysis, uncertain ty quantification, shape optimization, or machine learning. Automatic diff e...\n\n\nValentin Churavy (Massachusetts Institute of Technology)\n------ ---------------\nJulia with MPI: Challenges and Best Practices\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 unique issues tha t may not be familiar to users of static languages such as C or Fortran. W e will explore common pitfalls that arise from configuring binary depe...\ n\n\nSimon Byrne (California Institute of Technology)\n------------------- --\nPortable and Efficient Julia Code for Heterogeneous Hardware Systems\n \nAs we are entering the exascale era of supercomputing, heterogeneous har dware architectures have become the norm for new systems. At the same time , vendors provide competing APIs to their accelerators, making it harder t o write and maintain portable code. The Julia programming language tries t o tack...\n\n\nJulian Samaroo (Massachusetts Institute of Technology)\n\nD omain: Computer Science, Machine Learning, and Applied Mathematics 
\n\nSe ssion Chair: Samuel Omlin (ETH Zurich / CSCS) END:VEVENT END:VCALENDAR