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ShuntFlowPlus: An Efficient and Scalable Dataflow Accelerator Architecture for Stream Applications

文献类型：期刊论文

作者Gong, Shijun1,2; Li, Jiajun1,2; Lu, Wenyan1,2; Yan, Guihai1,2; Li, Xiaowei1,2
刊名ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS
出版日期2021-10-01
卷号17期号:4页码:24
关键词Streaming processing sliding-window aggregations dataflow buffer sharing
ISSN号1550-4832
DOI10.1145/3453164
英文摘要Streaming processing is an important and growing class of applications for analyzing continuous streams in real time. In such applications, sliding-window aggregation (SWAG) is a widely used approach, and generalpurpose processors cannot efficiently handle SWAG because of the specific computation patterns. This article proposes an efficient dataflow accelerator architecture for ubiquitous SWAGs, called ShuntFlowPlus. ShuntFlowPlus supports two main categories of SWAGs that are widely used in streaming processing. Meanwhile, we propose a shunt rule to enable ShuntFlowPlus to efficiently handle SWAGs with arbitrary parameters. Furthermore, we propose a novel realization scheme of SWAG kernels based on buffer sharing to maximize buffer utilization. As a case study, we implemented ShuntFlowPlus on an Altera Arria 10 AX115N FPGA board at 150 MHz and compared it to previous approaches. The experimental results show that ShuntFlowPlus provides a tremendous throughput and latency advantage over CPU and GPU implementations on both reducelike and index-like SWAGs. Compare to ShuntFlow, 41% of buffer resources are saved.
资助项目National Natural Science Foundation of China[61872336] ; National Natural Science Foundation of China[61532017] ; National Natural Science Foundation of China[61521092] ; Youth Innovation Promotion Association, CAS[Y404441000]
WOS研究方向Computer Science ; Engineering ; Science & Technology - Other Topics
语种英语
WOS记录号WOS:000754605600015
出版者ASSOC COMPUTING MACHINERY
源URL[http://119.78.100.204/handle/2XEOYT63/18986]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Yan, Guihai
作者单位1.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Zhongguancun 6 Kexueyuan South Rd, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Zhongguancun 6 Kexueyuan South Rd, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Gong, Shijun,Li, Jiajun,Lu, Wenyan,et al. ShuntFlowPlus: An Efficient and Scalable Dataflow Accelerator Architecture for Stream Applications[J]. ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS,2021,17(4):24.
APA Gong, Shijun,Li, Jiajun,Lu, Wenyan,Yan, Guihai,&Li, Xiaowei.(2021).ShuntFlowPlus: An Efficient and Scalable Dataflow Accelerator Architecture for Stream Applications.ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS,17(4),24.
MLA Gong, Shijun,et al."ShuntFlowPlus: An Efficient and Scalable Dataflow Accelerator Architecture for Stream Applications".ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS 17.4(2021):24.

入库方式： OAI收割

来源：计算技术研究所

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