Understanding Performance Portability of Bioinformatics Applications in SYCL on an NVIDIA GPU-Reference-Cited by-同舟云学术

Understanding Performance Portability of Bioinformatics Applications in SYCL on an NVIDIA GPU

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
language:
Short-container-title:

Author:

Jin Zheming¹,Vetter Jeffrey S.¹

Affiliation:

1. Oak Ridge National Laboratory

Funder

UT-Battelle

Publisher

IEEE

Link

Reference30 articles.

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SYCL-Bench 2020: Benchmarking SYCL 2020 on AMD, Intel, and NVIDIA GPUs;Proceedings of the 12th International Workshop on OpenCL and SYCL;2024-04-08

3. Evaluating the performance portability of SYCL across CPUs and GPUs on bandwidth-bound applications;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12

4. Comparing Performance and Portability Between CUDA and SYCL for Protein Database Search on NVIDIA, AMD, and Intel GPUs;2023 IEEE 35th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD);2023-10-17

5. A Performance Portability Study Using Tensor Contraction Benchmarks;2023 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2023-05