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DTSTART;TZID=America/Chicago:20251117T140000
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UID:submissions.supercomputing.org_SC25_sess207_ws_p3hpc112@linklings.com
SUMMARY:Preserving CUDA Syntax for SYCL Portability: A Thin C++ Abstractio
 n without Kernel Migration
DESCRIPTION:Esteban M. Rangel and Humza Qureshi (Argonne National Laborato
 ry (ANL))\n\nPreparing large-scale scientific applications for diverse GPU
  architectures requires strategies that balance performance, portability, 
 and long-term maintainability.  \nWe introduce a unified kernel abstractio
 n and evaluate it using CRK-HACC, a production N-body cosmology code, enab
 ling single-source compilation through both CUDA and SYCL toolchains. Our 
 approach introduces a thin C++ layer that preserves the original CUDA kern
 el syntax and launch style while providing SYCL compatibility through a me
 chanical ``functorization'' process. This method avoids the complexity of 
 automated source translation, retains architecture-specific optimizations,
  and reduces maintenance effort by eliminating code duplication.  We evalu
 ate the implementation on two DOE leadership systems—Polaris (NVIDIA GPUs)
  and Aurora (Intel GPUs)—comparing kernel-level execution times across bac
 kends and architectures.  Results show competitive performance for SYCL re
 lative to native CUDA while preserving code clarity and portability.  \nTh
 is case study demonstrates a practical path toward sustaining performance 
 in complex, physics-rich codes as HPC hardware continues to evolve.\n\nTag
 : Performance Evaluation, Scalability, & Portability\n\nRecording: Livestr
 eamed, Recorded\n\nRegistration Category: Technical Program Reg Pass, Work
 shop Reg Pass\n\nSession Chairs: CJ Newburn (NVIDIA Corporation), Scott J.
  Parker (Argonne National Laboratory (ANL)), John Pennycook (Intel Corpora
 tion), and Kenneth Weiss (Lawrence Livermore National Laboratory (LLNL))\n
 \n
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