BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Denver
X-LIC-LOCATION:America/Denver
BEGIN:DAYLIGHT
TZOFFSETFROM:-0700
TZOFFSETTO:-0600
TZNAME:MDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0600
TZOFFSETTO:-0700
TZNAME:MST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260422T000711Z
LOCATION:605
DTSTART;TZID=America/Denver:20231113T103900
DTEND;TZID=America/Denver:20231113T104800
UID:submissions.supercomputing.org_SC23_sess441_ws_p3hpc114@linklings.com
SUMMARY:MatRIS: Multilevel Math Library Abstraction for Heterogeneity and 
 Performance Portability Using IRIS Runtime
DESCRIPTION:Mohammad Alaul Haque Monil, Narasinga Rao Miniskar, Keita Tera
 nishi, Jeffrey S. Vetter, and Pedro Valero-Lara (Oak Ridge National Labora
 tory (ORNL))\n\nVendor libraries are tuned for a specific architecture and
  are not portable to others. Moreover, they lack support for heterogeneity
  and multi-device orchestration, which is required for efficient use of co
 ntemporary HPC and cloud resources. To address these challenges, we introd
 uce MatRIS-a multilevel math library abstraction for scalable and performa
 nce-portable sparse/dense BLAS/LAPACK operations using IRIS runtime. The M
 atRIS-IRIS co-design introduces three levels of abstraction to make the im
 plementation completely architecture agnostic and provide highly productiv
 e programming. We demonstrate that MatRIS is portable without any change i
 n source code and can fully utilize multi-device heterogeneous systems by 
 achieving high performance and scalability on Summit, Frontier, and a CADE
 S cloud node equipped with four NVIDIA A100 GPUs and four AMD MI100 GPUs. 
 A detailed performance study is presented in which MatRIS demonstrates mul
 ti-device scalability. When compared, MatRIS provides competitive and even
  better performance than libraries from vendors and other third parties.\n
 \nTag: Performance Measurement, Modeling, and Tools, Performance Optimizat
 ion\n\nRegistration Category: Workshop Reg Pass\n\nSession Chairs: Judith 
 C. Hill (Lawrence Livermore National Laboratory (LLNL)), CJ Newburn (NVIDI
 A Corporation), Scott J. Parker (Argonne National Laboratory (ANL)), and J
 ohn Pennycook (Intel Corporation)\n\n
END:VEVENT
END:VCALENDAR