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UID:pretalx-juliacon-2026-7JKGJU@pretalx.com
DTSTART;TZID=CET:20260810T100000
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DESCRIPTION:High-Performance Computing (HPC) empowers modern science and en
 gineering by enabling the simulation and analysis of complex systems at un
 precedented scales on cutting-edge supercomputers. Julia\, as a dynamic pr
 ogramming language designed for scientific computing\, uniquely combines t
 he ease of high-level syntax with near C and Fortran execution speed\, mak
 ing it a compelling vehicle for performance engineering on supercomputers.
 \n\nThis workshop offers a hands-on introduction to performance engineerin
 g with Julia on modern HPC systems\, guiding participants through the work
 flow of analyzing\, optimizing\, and scaling Julia codes on a real HPC env
 ironment. Using interactive Jupyter notebooks backed by the [Otus system](
 https://pc2.uni-paderborn.de/systems-and-services/otus) at the [Paderborn 
 Center for Parallel Computing (PC2)](https://pc2.uni-paderborn.de/)\, part
 icipants will experiment with live Julia code and performance analysis too
 ls to gain practical proficiency in optimization techniques.\n\nThe three 
 parts of the workshop will first introduce the organization of modern HPC 
 clusters that influences Julia code performance\, then examine the perform
 ance engineering workflow that identifies and solves optimization problems
  and finally present a case study of the workflow applied to a real scient
 ific application.\n\nThrough the combination with hands-on exercises\, par
 ticipants will not only understand the core principles of performance engi
 neering but also actively practice optimizing and scaling Julia programs o
 n the Otus HPC system at PC2.
DTSTAMP:20260502T103430Z
LOCATION:Room 2
SUMMARY:Performance Engineering with Julia on Modern Supercomputers - Alex 
 Wiens\, Xin Wu\, Christian Plessl
URL:https://pretalx.com/juliacon-2026/talk/7JKGJU/
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