Comparative Overview of HPC Frameworks for CPU/GPU Programming

This poster presents a systematic comparison of nine popular HPC frameworks — OpenCL, CUDA, HIP, SYCL, OpenMP, OpenACC, RAJA, Kokkos, and ALPAKA — based on functional portability, performance portability, ecosystem maturity, and use cases. The goal is to guide HPC developers and researchers in selecting suitable programming models for CPU/GPU workloads.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-07
DOI
https://doi.org/10.5281/zenodo.15717300
Primary Topic
Historical Studies on Reproduction, Gender, Health, and Societal Changes
Type
article
Field-Weighted Citation Impact
0.00
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article

Comparative Overview of HPC Frameworks for CPU/GPU Programming

Zenodo (CERN European Organization for Nuclear Research)
Historical Studies on Reproduction, Gender, Health, and Societal Changes
article

Comparative Overview of HPC Frameworks for CPU/GPU Programming

article en

Abstract

This poster presents a systematic comparison of nine popular HPC frameworks — OpenCL, CUDA, HIP, SYCL, OpenMP, OpenACC, RAJA, Kokkos, and ALPAKA — based on functional portability, performance portability, ecosystem maturity, and use cases. The goal is to guide HPC developers and researchers in selecting suitable programming models for CPU/GPU workloads.

Zenodo (CERN European Organization for Nuclear Research)
Max Planck Computing and Data Facility (DE), Deggendorf Institute of Technology (DE)
Openalex Percentile: Top 54%
Historical Studies on Reproduction, Gender, Health, and Societal Changes
DOIOpen Access PDFOpenAlex
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Comparative Overview of HPC Frameworks for CPU/GPU Programming · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS