使用OpenCL跨多个平台加速拉格朗日粒子在大气中的色散

P. Harvey, S. Hameed, W. Vanderbauwhede
{"title":"使用OpenCL跨多个平台加速拉格朗日粒子在大气中的色散","authors":"P. Harvey, S. Hameed, W. Vanderbauwhede","doi":"10.1145/2664666.2664672","DOIUrl":null,"url":null,"abstract":"FLEXPART is a popular simulator that models the transport and diffusion of air pollutants, based on the Lagrangian approach. It is capable of regional and global simulation and supports both forward and backward runs. A complex model like this contains many calculations suitable for parallelisation. Recently, a GPU-accelerated version of the simulator (FLEXCPP) has been written in C++/CUDA. As CUDA is only supported on NVIDIA GPUs, such an implementation is tied to a single hardware vendor, and is not able to take advantage of other hardware acceleration platforms.\n This paper presents an OpenCL/C++ version of FLEXCPP, called FlexOcl. This simulator provides all the functionality of FLEXCPP, and has been extended to include modelling of the decay of radioactive particles. A performance comparison between the two simulators has been performed on GPU, and the performance of FlexOcl has also been evaluated on the Intel Xeon Phi, as well as a number of other hardware platforms. Our results show that the OpenCL code performs better than CUDA code on GPUs, and that equivalent performance is seen on the Xeon Phi for this type of application.","PeriodicalId":73497,"journal":{"name":"International Workshop on OpenCL","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Accelerating Lagrangian particle dispersion in the atmosphere with OpenCL across multiple platforms\",\"authors\":\"P. Harvey, S. Hameed, W. Vanderbauwhede\",\"doi\":\"10.1145/2664666.2664672\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"FLEXPART is a popular simulator that models the transport and diffusion of air pollutants, based on the Lagrangian approach. It is capable of regional and global simulation and supports both forward and backward runs. A complex model like this contains many calculations suitable for parallelisation. Recently, a GPU-accelerated version of the simulator (FLEXCPP) has been written in C++/CUDA. As CUDA is only supported on NVIDIA GPUs, such an implementation is tied to a single hardware vendor, and is not able to take advantage of other hardware acceleration platforms.\\n This paper presents an OpenCL/C++ version of FLEXCPP, called FlexOcl. This simulator provides all the functionality of FLEXCPP, and has been extended to include modelling of the decay of radioactive particles. A performance comparison between the two simulators has been performed on GPU, and the performance of FlexOcl has also been evaluated on the Intel Xeon Phi, as well as a number of other hardware platforms. Our results show that the OpenCL code performs better than CUDA code on GPUs, and that equivalent performance is seen on the Xeon Phi for this type of application.\",\"PeriodicalId\":73497,\"journal\":{\"name\":\"International Workshop on OpenCL\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Workshop on OpenCL\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2664666.2664672\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Workshop on OpenCL","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2664666.2664672","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

FLEXPART是一个流行的模拟器,它基于拉格朗日方法模拟空气污染物的传输和扩散。它具有区域和全球模拟的能力,并支持向前和向后运行。像这样的复杂模型包含许多适合并行化的计算。最近,用c++ /CUDA编写了一个gpu加速版本的模拟器(FLEXCPP)。由于CUDA仅支持NVIDIA gpu,因此这种实现与单一硬件供应商绑定,并且无法利用其他硬件加速平台。本文介绍了一个OpenCL/ c++版本的FLEXCPP,称为FlexOcl。该模拟器提供了FLEXCPP的所有功能,并已扩展到包括放射性粒子衰变的建模。两个模拟器之间的性能比较已经在GPU上进行了,并且FlexOcl的性能也在Intel Xeon Phi以及其他一些硬件平台上进行了评估。我们的结果表明,OpenCL代码在gpu上的性能优于CUDA代码,并且对于这种类型的应用程序,在Xeon Phi上可以看到相同的性能。
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
Accelerating Lagrangian particle dispersion in the atmosphere with OpenCL across multiple platforms
FLEXPART is a popular simulator that models the transport and diffusion of air pollutants, based on the Lagrangian approach. It is capable of regional and global simulation and supports both forward and backward runs. A complex model like this contains many calculations suitable for parallelisation. Recently, a GPU-accelerated version of the simulator (FLEXCPP) has been written in C++/CUDA. As CUDA is only supported on NVIDIA GPUs, such an implementation is tied to a single hardware vendor, and is not able to take advantage of other hardware acceleration platforms. This paper presents an OpenCL/C++ version of FLEXCPP, called FlexOcl. This simulator provides all the functionality of FLEXCPP, and has been extended to include modelling of the decay of radioactive particles. A performance comparison between the two simulators has been performed on GPU, and the performance of FlexOcl has also been evaluated on the Intel Xeon Phi, as well as a number of other hardware platforms. Our results show that the OpenCL code performs better than CUDA code on GPUs, and that equivalent performance is seen on the Xeon Phi for this type of application.
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
Improving Performance Portability of the Procedurally Generated High Energy Physics Event Generator MadGraph Using SYCL Acceleration of Quantum Transport Simulations with OpenCL CodePin: An Instrumentation-Based Debug Tool of SYCLomatic An Efficient Approach to Resolving Stack Overflow of SYCL Kernel on Intel® CPUs Ray Tracer based lidar simulation using SYCL
×
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