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DTSTAMP:20260202T201247Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20251120T080000
DTEND;TZID=America/Chicago:20251120T170000
UID:submissions.supercomputing.org_SC25_sess533_post214@linklings.com
SUMMARY:Template Task-Based Multiresolution Analysis in Hybrid Environment
 s
DESCRIPTION:Nilesh Chaturvedi (Institute for Advanced Computational Scienc
 e, Stony Brook University; Stony Brook University, Department of Applied M
 athematics and Statistics); Joseph Schuchart (Institute for Advanced Compu
 tational Science, Stony Brook University); and Robert J. Harrison (Institu
 te for Advanced Computational Science, Stony Brook University; Stony Brook
  University, Department of Applied Mathematics and Statistics)\n\nWe prese
 nt a framework that implements multiresolution analysis (MRA) on top of Te
 mplate Task Graph (TTG), a distributed, task-based data-flow programming m
 odel. MRA is broadly applied across scientific domains for its ability to 
 capture both local and global features with high accuracy, and its adaptiv
 e tree-based structure maps naturally onto data-flow execution models. TTG
  addresses central challenges in modern high performance computing by impr
 oving programmer productivity and enabling performance portability across 
 heterogeneous architectures. To the best of our knowledge, this ongoing wo
 rk is the first demonstration of a multiwavelet-based MRA achieving substa
 ntial performance gains on GPUs. We will present our work using visual art
 ifacts in the poster to demonstrate the challenges and proposed solution.\
 n\nTag: Research & ACM SRC Posters\n\nRegistration Category: Technical Pro
 gram Reg Pass\n\nSession Chairs: Kento Sato (RIKEN Center for Computationa
 l Science (R-CCS)); Chris Schlipalius (Pawsey Supercomputing Research Cent
 re; Commonwealth Scientific and Industrial Research Organisation (CSIRO), 
 Australia); and Anja Gerbes (Georg-August-Universität Göttingen)\n\n
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