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DTSTAMP:20250626T234541Z
LOCATION:B302-B305
DTSTART;TZID=America/New_York:20241119T120000
DTEND;TZID=America/New_York:20241119T170000
UID:submissions.supercomputing.org_SC24_sess487_post188@linklings.com
SUMMARY:MatRIS: Performance Portable Math Library of IRIS Runtime for Mult
 i-Device Heterogeneity
DESCRIPTION:Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Pedro Vale
 ro-Lara, Keita Teranishi, and Jeffrey S. Vetter (Oak Ridge National Labora
 tory (ORNL))\n\nWe present the recent efforts for MatRIS, the performance 
 portable math library of IRIS runtime for multi-device heterogeneity. MatR
 IS provides dense linear algebra — BLAS (Basic Linear Algebra Subprograms)
  and LAPACK (Linear Algebra PACKage) — capabilities across different back 
 ends available in the IRIS runtime, enabling the same MatRIS code to run e
 fficiently on multi-device heterogeneous targets. MatRIS provides standard
  BLAS/LAPACK APIs. The motivation (philosophy) of MatRIS is: Implement onc
 e, deploy anywhere. The algorithms implemented in MatRIS are serial-like a
 nd architecture-agnostic, elevating the programming productivity in hetero
 geneous systems. While ensuring portability, MatRIS provides competitive o
 r even better performance than state-of-the-art open-source and vendor sol
 utions, such as DPLASMA, Chameleon, or NVIDIA cuSolverMG libraries.\n\nReg
 istration Category: Tech Program Reg Pass, Exhibits Reg Pass\n\nSession Ch
 airs: Ayesha Afzal (Friedrich-Alexander University, Erlangen-Nuremberg; Er
 langen National High Performance Computing Center); Sally Ellingson (Unive
 rsity of Kentucky); and Alan Sussman (University of Maryland)\n\n
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