CITATION.cff

cff-version: 1.2.0
title: GPU Vendor/Programming Model Compatibility Overview
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Andreas
    family-names: Herten
    email: a.herten@fz-juelich.de
    affiliation: Jülich Supercomputing Centre
    orcid: 'https://orcid.org/0000-0002-7150-2505'
identifiers:
  - type: doi
    value: 10.34732/xdvblg-r1bvif
    description: Blogpost of Table
  - type: doi
    value: 10.1145/3624062.3624178
    description: SC23 Workshop Paper of extended version (v2) of material with discussions
repository-code: 'https://github.com/AndiH/gpu-lang-compat'
abstract: >-
  There are three vendors of HPC-grade GPUs (NVIDIA, AMD,
  Intel), and many different programming models to use the
  devices for general computing. It's a zoo! The overview
  presents the status of the possible combinations of some
  more established programming models, given comments and
  details for every combination. The repository contains the
  YAML raw data and scripts and templates to generate tables
  (HTML, PDF via LaTeX (also SVG from PDF)).
keywords:
  - Intel
  - AMD
  - NVIDIA
  - GPGPU
  - GPU
  - GPU Programming
  - CUDA
  - HIP
  - SYCL
license: MIT
version: '2.0'
date-released: '2023-11-13'