GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism-Reference-Cited by-同舟云学术

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GSParLib: A multi-level programming interface unifying OpenCL and CUDA for expressing stream and data parallelism

Published:2025-03 Issue: Volume:92 Page:103922
ISSN:0920-5489
Container-title:Computer Standards & Interfaces
language:en
Short-container-title:Computer Standards & Interfaces

Author:

Rockenbach Dinei A.^ORCID,Araujo Gabriell^ORCID,Griebler Dalvan^ORCID,Fernandes Luiz Gustavo^ORCID

Funder

Coordination of Higher Education Personnel Improvement

National Council for Scientific and Technological Development

Pontifícia Universidade Católica do Rio Grande do Sul

Foundation for Research Support of Rio Grande do Sul State

Publisher

Elsevier BV

Reference61 articles.

1. GPU-Accelerated Applications;NVIDIA Corporation,2022

2. Computer vision for autonomous vehicles-semantic segmentation using Jetson nano;Roshan,2022

3. Recent progress in road and lane detection: a survey;Hillel;Mach. Vis. Appl.,2014

4. A survey of techniques for optimizing deep learning on GPUs;Mittal;J. Syst. Archit.,2019

5. Ray Tracing Gems;Haines,2019

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