Performance Evaluation of Heterogeneous GPU Programming Frameworks for Hemodynamic Simulations-Reference-Cited by-同舟云学术

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Performance Evaluation of Heterogeneous GPU Programming Frameworks for Hemodynamic Simulations

Published:2023-11-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
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Author:

Martin Aristotle¹^ORCID,Liu Geng²^ORCID,Ladd William¹^ORCID,Lee Seyong³^ORCID,Gounley John³^ORCID,Vetter Jeffrey³^ORCID,Patel Saumil²^ORCID,Rizzi Silvio²^ORCID,Mateevitsi Victor²^ORCID,Insley Joseph²^ORCID,Randles Amanda¹^ORCID

Affiliation:

1. Biomedical Engineering, Duke University, United States of America

2. Argonne National Laboratory, United States of America

3. Oak Ridge National Laboratory, United States of America

Funder

National Institutes of Health

DOE U.S. Department of Energy

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3624062.3624188

Reference23 articles.

1. Evaluation of Intel's DPC++ Compatibility Tool in heterogeneous computing

2. Boundary conditions for lattice Boltzmann simulations with complex geometry flows

3. Porting a Legacy CUDA Stencil Code to oneAPI

4. Evaluating attainable memory bandwidth of parallel programming models via BabelStream

5. Case Study of Using Kokkos and SYCL as Performance-Portable Frameworks for Milc-Dslash Benchmark on NVIDIA, AMD and Intel GPUs

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