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DTSTART;TZID=Europe/Stockholm:20230627T110000
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UID:submissions.pasc-conference.org_PASC23_sess157@linklings.com
SUMMARY:MS3B - Application Perspective on SYCL, a Modern Programming Model
  for Performance and Portability
DESCRIPTION:Minisymposium\n\nHeterogeneous architectures are now common in
  high-performance computing. As accelerator hardware gets more diverse, HP
 C applications must target architectures from multiple vendors and hardwar
 e generations with different capabilities and limitations. The dominance o
 f vendor-specific and proprietary programming models makes writing portabl
 e and future-proof code challenging. Like OpenCL, SYCL is a standard not c
 ontrolled by a single vendor. SYCL is still in its early stage, but there 
 already are several quite mature implementations of the standard by differ
 ent groups, targeting a wide range of hardware. It has been adopted by sev
 eral large HPC projects and is the recommended programming framework for u
 pcoming Intel GPU-based supercomputers. SYCL allows accessing low-level ha
 rdware capabilities while providing a high-level abstraction and the abili
 ty to rely on the runtime for data movement and execution configuration ch
 oice, making it possible to write portable and performant code without com
 promising the ability to tune for a specific device architecture when need
 ed. This minisymposium aims to discuss SYCL from the perspective of scient
 ific application developers, sharing the experiences of early adopters and
  promoting interdisciplinary communication in software engineering for mod
 ern, performance-portable, and maintainable code.\n\nCharged Particle Reco
 nstruction Using SYCL with the Traccc Project\n\nReconstructing the tracks
  left by high energy, electrically charged particles in specialised partic
 le detectors is one of the most challenging software tasks in modern High 
 Energy Physics. In recent years several projects took it on themselves to 
 find and implement track reconstruction algorithms su...\n\n\nAttila Krasz
 nahorkay and Andreas Salzburger (CERN); Beomki Yeo (Lawrence Berkeley Nati
 onal Laboratory); Stephen Nicholas Swatman (University of Amsterdam, CERN)
 ; Joana Niermann (University of Göttingen); and Guilherme Metelo Rita De A
 lmeida (University of Lisbon, CERN)\n---------------------\nCombining CUDA
  and SYCL for Accelerating Earthquake Simulations in SeisSol\n\nSeisSol is
  a high-performance simulation package designed for large-scale simulation
 s of earthquakes and seismic phenomena. SeisSol is based on the discontinu
 ous Galerkin method, the ADER time integration and Local Time Stepping. Se
 isSol uses a custom Domain Specific Language, called YATeTo, to tack...\n\
 n\nRavil Dorozhinskii and Michael Bader (Technical University of Munich) a
 nd Alice Gabriel (Scripps Institution of Oceanography)\n------------------
 ---\nExperience From Ginkgo Porting to the SYCL Ecosystem\n\nIntel has int
 roduced new GPU architectures into the High-Performance Computing markets 
 and has chosen the SYCL ecosystem for its devices. Based on SYCL, they cre
 ate several extensions to help the coding experience and improve usability
 . They also provide the tools to help port the code from CUDA and...\n\n\n
 Yu-Hsiang Tsai, Terry Cojean, and Tobias Ribizel (Karlsruhe Institute of T
 echnology) and Hartwig Anzt (University of Tennessee)\n-------------------
 --\nHeterogeneous Computing with SYCL in WarpX and AMReX\n\nWarpX is a tim
 e-based electrostatic and electromagnetic Particle-in-Cell code that suppo
 rts many advanced features such as perfectly-matched layers, boosted frame
  simulations, highly accurate pseudo-spectral solvers, and mesh refinement
 . It has been applied to a range of scientific settings such as ...\n\n\nA
 ndrew Myers and Weiqun Zhang (Lawrence Berkeley National Laboratory)\n\nDo
 main: Computer Science, Machine Learning, and Applied Mathematics 
\n\nSes
 sion Chair: Andrey Alekseenko (KTH Royal Institute of Technology, SciLifeL
 ab)
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