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DTSTART:19700308T020000
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DTSTAMP:20260202T201248Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20251120T080000
DTEND;TZID=America/Chicago:20251120T170000
UID:submissions.supercomputing.org_SC25_sess533_post267@linklings.com
SUMMARY:Julia with Intelligent Runtime for Heterogeneous Computing
DESCRIPTION:Narasinga Rao Miniskar, Pedro Valero-Lara, William Godoy, Keit
 a Teranishi, and Jeffrey S. Vetter (Oak Ridge National Laboratory (ORNL))\
 n\nJulia, a high-performance, high-level language, harnesses dynamic typin
 g and LLVM’s Just-in-Time compiler to match the speed of C and Fortran in 
 production. Meanwhile, IRIS serves as a heterogeneous runtime that discove
 rs devices dynamically and schedules concurrent work on CPUs, GPUs, FPGAs,
  and DSPs today. Integrating Julia with IRIS unlocks high-performance, por
 table, and productive computing for workloads. This synergy simplifies ker
 nel APIs for both data-parallel and task-parallel execution, and it also b
 uilds task graphs with intelligent flow-dependency detection via kernel an
 alysis to optimize performance across multiple device types. We report ear
 ly results of AXPY executing on CUDA GPUs today. A tiled heterogeneous mat
 h library for DGEMM uses vendor kernels, demonstrating the system’s versat
 ility.\n\nTag: Research & ACM SRC Posters\n\nRegistration Category: Techni
 cal Program Reg Pass\n\nSession Chairs: Kento Sato (RIKEN Center for Compu
 tational Science (R-CCS)); Chris Schlipalius (Pawsey Supercomputing Resear
 ch Centre; Commonwealth Scientific and Industrial Research Organisation (C
 SIRO), Australia); and Anja Gerbes (Georg-August-Universität Göttingen)\n\
 n
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