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DTSTAMP:20260422T000711Z
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DTSTART;TZID=America/Denver:20231113T092200
DTEND;TZID=America/Denver:20231113T093200
UID:submissions.supercomputing.org_SC23_sess449_misc140@linklings.com
SUMMARY:Survey of Technologies for Developers of Parallel Applications:  J
 ulia
DESCRIPTION:Johannes Blaschke (Lawrence Berkeley National Laboratory (LBNL
 ))\n\nThis talk will highlight distributed and gpu computing using the Jul
 ia ecosystem. The Julia language proposes an integrated development end-to
 -end co-design model as a LLVM front-end for science to close the gap betw
 een high-productivity languages and the desired performance of traditional
  compiled languages on extreme heterogeneous systems. This talk will demon
 strate how to develop a large-scale HPC application: from low-level hardwa
 re accelerator optimizations (using LLVM), to a task-based distributed par
 allel execution framework (based on Distributed.jl).\n\nTag: Accelerators,
  Artificial Intelligence/Machine Learning, Algorithms, Applications, Archi
 tecture and Networks, Distributed Computing, Compilers, Data Analysis, Vis
 ualization, and Storage, Exascale, Heterogeneous Computing, Linear Algebra
 , Message Passing, Performance Optimization, Programming Frameworks and Sy
 stem Software, Quantum Computing, Runtime Systems, Software Engineering, S
 ustainability, Task Parallelism, Tensors\n\nRegistration Category: Worksho
 p Reg Pass\n\nSession Chairs: Engin Kayraklioglu (Hewlett Packard Enterpri
 se (HPE)), Daniele Lezzi (Barcelona Supercomputing Center (BSC)), Bill Lon
 g (Retired), Karla Vanessa Morris Wright (Sandia National Laboratories), I
 rene Moulitsas (Cranfield University), and Elliott Slaughter (SLAC Nationa
 l Accelerator Laboratory)\n\n
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