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DTSTAMP:20260202T201247Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20251120T080000
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UID:submissions.supercomputing.org_SC25_sess533_post163@linklings.com
SUMMARY:Performance Engineering of Scientific Applications with MVAPICH an
 d TAU Using Emerging Communication Primitives
DESCRIPTION:Dhabaleswar K. (DK) Panda (The Ohio State University); Sameer 
 Shende (University of Oregon; ParaTools, Inc.); Ahmad Abdelfattah (Univers
 ity of Tennessee, Knoxville); and Yifeng Cui (San Diego Supercomputer Cent
 er (SDSC))\n\nWe propose a co-design approach that integrates two powerful
  tools—MVAPICH and TAU—to demonstrate the new possibilities for performanc
 e-guided control and optimization for two large-scale applications—AWP-ODC
  and heFFTe. AWP-ODC is a highly scalable parallel finite-difference appli
 cation with point-to-point operations that enables 3D earthquake calculati
 ons, while heFFTe is a massively parallel application that provides scalab
 le and efficient implementations of the widely used Fast Fourier Transform
  using several MPI primitives. Through a deep integration between MVAPICH 
 and TAU, the two applications can identify their performance bottlenecks o
 n various supercomputers with different architectures. AWP-ODC and heFFTe 
 can also act as representative real-world benchmarks to MVAPICH and TAU. W
 e show how the co-design approach enables AWP-ODC and heFFTe to deliver be
 tter performance on cutting-edge HPC architectures. This is achieved using
  1) more optimized and fine-tuned collective operations, and 2) reduced ne
 twork traffic through real-time data compression.\n\nTag: Research & ACM S
 RC Posters\n\nRegistration Category: Technical Program Reg Pass\n\nSession
  Chairs: Kento Sato (RIKEN Center for Computational Science (R-CCS)); Chri
 s Schlipalius (Pawsey Supercomputing Research Centre; Commonwealth Scienti
 fic and Industrial Research Organisation (CSIRO), Australia); and Anja Ger
 bes (Georg-August-Universität Göttingen)\n\n
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