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DTSTAMP:20250822T115809Z
LOCATION:Room 6.0D13
DTSTART;TZID=Europe/Stockholm:20250618T140000
DTEND;TZID=Europe/Stockholm:20250618T160000
UID:submissions.pasc-conference.org_PASC25_sess142@linklings.com
SUMMARY:MS6D - Motif-Based Automated Performance Engineering for HPC
DESCRIPTION:In this minisymposium we will discuss some of the efforts that
  are made in the area of improving performance portability and programming
  productivity for motif-based high-performance algorithms that are used in
  wide range of scientific applications. We will describe domain specific l
 ibraries (DSLs) that express mathematical/programming motifs (data objects
  and operations on those data objects), along with software back-ends that
  translate the library calls into high-performance code. By the use of a m
 otif-aware software stack, the scientific application code written is much
  smaller than fully optimized code, with the applications-level code remai
 ning unchanged in moving between platforms, thus leading to a less expensi
 ve development process. There will be four talks given in this minisymposi
 um covering multiple motifs like structured grids, Fast Fourier Transforms
  (FFTs), particle methods and dense/sparse linear algebra, and different a
 pproaches to supporting motif-based DSLs. This minisymposium aims to bring
  together different groups focused on developing various motif-based high-
 performance codes using different software tools and automate the process 
 as much as possible.\n\nThe X Frameworks: FFTX, IRISX, FortranX\n\nMotif-s
 pecific libraries have long been the gold standard for writing large scale
  scientific\napplications. These libraries expose key operators and can be
  specialized to a given\nhardware architecture without significant API mod
 ification. However, as algorithms\nincrease in complexity, using the libra
 ...\n\n\nSanil Rao and Franz Franchetti (Carnegie Mellon University)\n----
 -----------------\nWhat and How Would we Build the Future Eigenvalue Solve
 r?\n\nIn the Japanese computational science community, which has developed
  the K computer and Fugaku, the high demand for large-scale eigenvalue cal
 culations in condensed material science has prompted updates to numerical 
 software. Capability Computing is a crucial method for effectively address
 ing challe...\n\n\nToshiyuki Imamura (RIKEN)\n---------------------\nNumer
 ical Analysis and Acceleration of Particle-Particle Particle-Mesh Method U
 sing Cabana\n\nParticle-particle particle-mesh (PPPM) methods are used to 
 describe advective dynamics (represented by particle discretizations) that
  are coupled to nonlocal fields (represented by grid discretizations). Our
  objective is to implement one such method, the Method of Local Correction
 s (MLC) for vortici...\n\n\nZoe Barbeau (Stanford University), Het Makand 
 and Sam Reeve (Oak Ridge National Laboratory), and Phillip Colella (Lawren
 ce Berkeley National Laboratory)\n---------------------\nProtoX: A Code Ge
 neration System for Stencil Operations\n\nProtoX is a code generation fram
 ework for stencil and pointwise operations-the key  components in numerica
 lly approximating the solution to various partial differential equations (
 PDEs). The frontend for ProtoX uses Proto-a C++ based domain specific libr
 ary that provides a high level of abstraction ...\n\n\nHet Yagnesh Mankad 
 (Oak Ridge National Laboratory); Sanil Rao (Carnegie Mellon University); P
 hillip Colella (Lawrence Berkeley National Laboratory); Brian Van Straalen
  (Lawrence Berkeley National Laboratory, Carnegie Mellon University); and 
 Franz Franchetti (Carnegie Mellon University)\n\nDomain: Engineering, Comp
 utational Methods and Applied Mathematics\n\nSession Chair: Het Yagnesh Ma
 nkad (Oak Ridge National Laboratory)
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