支持NEON的ARM处理器的OpenCL框架

WPMVP '14 Pub Date : 2014-02-16 DOI:10.1145/2568058.2568064
Gangwon Jo, W. J. Jeon, Wookeun Jung, Gordon Taft, Jaejin Lee
{"title":"支持NEON的ARM处理器的OpenCL框架","authors":"Gangwon Jo, W. J. Jeon, Wookeun Jung, Gordon Taft, Jaejin Lee","doi":"10.1145/2568058.2568064","DOIUrl":null,"url":null,"abstract":"The state-of-the-art ARM processors provide multiple cores and SIMD instructions. OpenCL is a promising programming model for utilizing such parallel processing capability because of its SPMD programming model and built-in vector support. Moreover, it provides portability between multicore ARM processors and accelerators in embedded systems. In this paper, we introduce the design and implementation of an efficient OpenCL framework for multicore ARM processors. Computational tasks in a program are implemented as OpenCL kernels and run on all CPU cores in parallel by our OpenCL framework. Vector operations and built-in functions in OpenCL kernels are optimized using the NEON SIMD instruction set. We evaluate our OpenCL framework using 37 benchmark applications. The result shows that our approach is effective and promising.","PeriodicalId":411100,"journal":{"name":"WPMVP '14","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"OpenCL framework for ARM processors with NEON support\",\"authors\":\"Gangwon Jo, W. J. Jeon, Wookeun Jung, Gordon Taft, Jaejin Lee\",\"doi\":\"10.1145/2568058.2568064\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The state-of-the-art ARM processors provide multiple cores and SIMD instructions. OpenCL is a promising programming model for utilizing such parallel processing capability because of its SPMD programming model and built-in vector support. Moreover, it provides portability between multicore ARM processors and accelerators in embedded systems. In this paper, we introduce the design and implementation of an efficient OpenCL framework for multicore ARM processors. Computational tasks in a program are implemented as OpenCL kernels and run on all CPU cores in parallel by our OpenCL framework. Vector operations and built-in functions in OpenCL kernels are optimized using the NEON SIMD instruction set. We evaluate our OpenCL framework using 37 benchmark applications. The result shows that our approach is effective and promising.\",\"PeriodicalId\":411100,\"journal\":{\"name\":\"WPMVP '14\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-02-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"WPMVP '14\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2568058.2568064\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"WPMVP '14","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2568058.2568064","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21

摘要

最先进的ARM处理器提供多核和SIMD指令。OpenCL是利用这种并行处理能力的一个很有前途的编程模型,因为它的SPMD编程模型和内置向量支持。此外,它还提供了嵌入式系统中多核ARM处理器和加速器之间的可移植性。在本文中,我们介绍了一个高效的多核ARM处理器的OpenCL框架的设计和实现。程序中的计算任务通过OpenCL内核实现,并通过我们的OpenCL框架在所有CPU内核上并行运行。使用NEON SIMD指令集优化了OpenCL内核中的矢量操作和内置函数。我们使用37个基准应用程序来评估我们的OpenCL框架。结果表明,该方法是有效的,具有良好的应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
OpenCL framework for ARM processors with NEON support
The state-of-the-art ARM processors provide multiple cores and SIMD instructions. OpenCL is a promising programming model for utilizing such parallel processing capability because of its SPMD programming model and built-in vector support. Moreover, it provides portability between multicore ARM processors and accelerators in embedded systems. In this paper, we introduce the design and implementation of an efficient OpenCL framework for multicore ARM processors. Computational tasks in a program are implemented as OpenCL kernels and run on all CPU cores in parallel by our OpenCL framework. Vector operations and built-in functions in OpenCL kernels are optimized using the NEON SIMD instruction set. We evaluate our OpenCL framework using 37 benchmark applications. The result shows that our approach is effective and promising.
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
期刊最新文献
A SIMD programming model for dart, javascript,and other dynamically typed scripting languages Exploring the vectorization of python constructs using pythran and boost SIMD Vector seeker: a tool for finding vector potential Simple, portable and fast SIMD intrinsic programming: generic simd library High level transforms for SIMD and low-level computer vision algorithms
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1