使用英特尔 oneAPI 进行带有 GPU 和 FPGA 耦合的多混合加速编程

Wentao Liang, N. Fujita, Ryohei Kobayashi, T. Boku
{"title":"使用英特尔 oneAPI 进行带有 GPU 和 FPGA 耦合的多混合加速编程","authors":"Wentao Liang, N. Fujita, Ryohei Kobayashi, T. Boku","doi":"10.1145/3636480.3637220","DOIUrl":null,"url":null,"abstract":"Intel oneAPI is a programming framework that accepts various accelerators such as GPUs, FPGAs, and multi-core CPUs, with a focus on HPC applications. Users can apply their code written in a single language, DPC++, to this heterogeneous programming environment. However, in practice, it is not easy to apply to different accelerators, especially for non-Intel devices such as NVIDIA and AMD GPUs. We have successfully constructed a oneAPI environment set to utilize the single DPC++ programming to handle true multi-hetero acceleration including NVIDIA GPU and Intel FPGA simultaneously. In this paper, we will show how this is done and what kind of applications can be targeted.","PeriodicalId":120904,"journal":{"name":"Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region Workshops","volume":"3 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using Intel oneAPI for Multi-hybrid Acceleration Programming with GPU and FPGA Coupling\",\"authors\":\"Wentao Liang, N. Fujita, Ryohei Kobayashi, T. Boku\",\"doi\":\"10.1145/3636480.3637220\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Intel oneAPI is a programming framework that accepts various accelerators such as GPUs, FPGAs, and multi-core CPUs, with a focus on HPC applications. Users can apply their code written in a single language, DPC++, to this heterogeneous programming environment. However, in practice, it is not easy to apply to different accelerators, especially for non-Intel devices such as NVIDIA and AMD GPUs. We have successfully constructed a oneAPI environment set to utilize the single DPC++ programming to handle true multi-hetero acceleration including NVIDIA GPU and Intel FPGA simultaneously. In this paper, we will show how this is done and what kind of applications can be targeted.\",\"PeriodicalId\":120904,\"journal\":{\"name\":\"Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region Workshops\",\"volume\":\"3 3\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3636480.3637220\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3636480.3637220","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

英特尔 oneAPI 是一个编程框架,可接受各种加速器,如 GPU、FPGA 和多核 CPU,重点关注 HPC 应用。用户可以将用一种语言(DPC++)编写的代码应用到这种异构编程环境中。然而,在实践中,它并不容易应用于不同的加速器,特别是对于英伟达和 AMD GPU 等非英特尔设备。我们已经成功构建了一套 oneAPI 环境,利用单一 DPC++ 编程同时处理包括英伟达™(NVIDIA®)GPU 和英特尔 FPGA 在内的真正多异构加速。在本文中,我们将展示如何做到这一点,以及可以针对哪些类型的应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Intel oneAPI for Multi-hybrid Acceleration Programming with GPU and FPGA Coupling
Intel oneAPI is a programming framework that accepts various accelerators such as GPUs, FPGAs, and multi-core CPUs, with a focus on HPC applications. Users can apply their code written in a single language, DPC++, to this heterogeneous programming environment. However, in practice, it is not easy to apply to different accelerators, especially for non-Intel devices such as NVIDIA and AMD GPUs. We have successfully constructed a oneAPI environment set to utilize the single DPC++ programming to handle true multi-hetero acceleration including NVIDIA GPU and Intel FPGA simultaneously. In this paper, we will show how this is done and what kind of applications can be targeted.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信