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DTSTAMP:20260731T133320Z
LOCATION:Bldg. 6 - 004
DTSTART;TZID=Europe/Stockholm:20260629T133000
DTEND;TZID=Europe/Stockholm:20260629T153000
UID:submissions.pasc-conference.org_PASC26_sess101@linklings.com
SUMMARY:MS1C - Application Perspective on SYCL, a Modern Programming Model
  for Performance and Portability
DESCRIPTION:Access the recording\n\nOrganizer(s): Andrey Alekseenko and Sz
 ilárd Páll (KTH Royal Institute of Technology)\n\nHPC and data-intensive c
 omputing now stand as the fourth pillar of science. However, as scientific
  discovery increasingly relies on complex, heterogeneous architectures, pr
 imarily GPUs, proprietary programming models and vendor lock-in restrict p
 ortability and obscure the transparency essential for reproducible and tru
 stworthy science. SYCL is a vendor-agnostic, C++-based standard for hetero
 geneous computing with several mature implementations for a wide range of 
 hardware accelerators, offering a promising path towards portable and repr
 oducible high-performance computing. As an open standard, it promotes acti
 ve, bidirectional interaction among all involved parties: hardware vendors
 , compiler and runtime developers, standards committees, and application d
 evelopers. This minisymposium fosters the dialogue between scientific appl
 ication developers and SYCL implementers, sharing experiences on using SYC
 L as a collaborative, open-software ecosystem for performance-portable acc
 elerated computing. The aim of this minisymposium is to contribute to the 
 wider adoption of open standards across the scientific computing community
 .\n\nImproving Performance of Large-Scale SYCL Applications by Leveraging 
 AdaptiveCpp's SSCP Compiler at the Example of GROMACS\n\nAdaptiveCpp, a ve
 ndor independent, production ready, implementation of the SYCL standard, e
 nables applications to target a wide range of hardware architectures, incl
 uding most recent accelerators from AMD, NVIDIA and Intel. The implementat
 ion provides multiple compilation paradigms, in particular SS...\n\n\nBáli
 nt Soproni and Aksel Alpay (Heidelberg University)\n---------------------\
 nAn Overview of SYCL Applications in the Context of High Energy Physics at
  CERN\n\nThe High-Luminosity LHC upgrade will increase the instantaneous l
 uminosity by up to a factor of three compared to the current value, with a
 verage pile-up of around 200 interactions per bunch crossing. This will dr
 amatically amplify the volume and complexity of data processed by the LHC 
 experiments a...\n\n\nAurora Perego (CERN, Milano Bicocca University)\n---
 ------------------\nPerformance-Portable Extreme-Scale Virtual Screening o
 n Heterogeneous HPC Systems\n\ngianfi\n12:21 PM\n\nTitle:\nPerformance-Por
 table Extreme-Scale Virtual Screening on Heterogeneous HPC Systems\n\nAbst
 ract:\nVirtual screening is an early stage of drug discovery that ranks a 
 chemical library by estimating the interaction strength between drug candi
 dates and target proteins. Recent work dem...\n\n\nGianmarco Accordi, Leon
 ardo Beltrame, Davide Gadioli, and Gianluca Palermo (Politecnico di Milano
 )\n---------------------\nStandardizing Memory-Centric Computing: Experien
 ces from SYCL and OneMCC\n\nThis talk presents our experience integrating 
 Samsung's HBM-PIM into HPC applications using SYCL as a performance-portab
 le programming model. We first summarize our SYCL+HBM-PIM co-design work, 
 illustrating how PIM kernels are exposed through vendor extensions while m
 aintaining the overall applicati...\n\n\nHyesun Hong, Youngjoo Ko, Hanwoon
 g Jung, and Seungwon Lee (Samsung Electronics, SAIT)\n\nDomain: Engineerin
 g, Computational Methods and Applied Mathematics\n\nSession Chair: Andrey 
 Alekseenko (KTH Royal Institute of Technology, PDC Center for High Perform
 ance Computing)
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