Comparing Different PC and FPGA Implementation Possibilities of Fast Multipole Method

Levente Santha, Z. Nagy, A. Kiss, G. Csaba
{"title":"Comparing Different PC and FPGA Implementation Possibilities of Fast Multipole Method","authors":"Levente Santha, Z. Nagy, A. Kiss, G. Csaba","doi":"10.1109/CNNA49188.2021.9610776","DOIUrl":null,"url":null,"abstract":"In this paper our aim is to compare the efficiency of different hardware platforms during the solution of the Fast Multipole Method (FMM). The brute force solution has also been compared to the highly topographical FMM algorithm to reflect the advantages and disadvantages of the concept. During the implementation we attempted to benefit from the different properties of the hardware platforms (e.g.: multi computation cores in PCs and array clusters in Field Programmable Gate Arrays - FPGAs). We demonstrate different implementations on PC and on FPGA with high-level hardware synthesis and benchmark the resulting hardware in terms of speed, and power consumption.","PeriodicalId":325231,"journal":{"name":"2021 17th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 17th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CNNA49188.2021.9610776","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper our aim is to compare the efficiency of different hardware platforms during the solution of the Fast Multipole Method (FMM). The brute force solution has also been compared to the highly topographical FMM algorithm to reflect the advantages and disadvantages of the concept. During the implementation we attempted to benefit from the different properties of the hardware platforms (e.g.: multi computation cores in PCs and array clusters in Field Programmable Gate Arrays - FPGAs). We demonstrate different implementations on PC and on FPGA with high-level hardware synthesis and benchmark the resulting hardware in terms of speed, and power consumption.
快速多极子方法在PC和FPGA上实现可能性的比较
在本文中,我们的目的是比较不同硬件平台在求解快速多极子方法(FMM)时的效率。还将蛮力解与高度地形化的FMM算法进行了比较,以反映该概念的优缺点。在实现过程中,我们试图从硬件平台的不同属性中获益(例如:pc中的多计算核心和现场可编程门阵列中的阵列集群)。我们通过高级硬件综合在PC和FPGA上演示了不同的实现,并对产生的硬件在速度和功耗方面进行了基准测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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:604180095
Book学术官方微信