Exploring the DIMM PIM Architecture for Accelerating Time Series Analysis

doi:10.1109/LCA.2025.3562431

	Exploring the DIMM PIM Architecture for Accelerating Time Series Analysis
	Shi, Shunchen 1,2; Yang, Fan 1,2; Li, Zhichun 1,2; Li, Xueqi 1,2; Sun, Ninghui 1,2
	2025
发表期刊	IEEE COMPUTER ARCHITECTURE LETTERS
ISSN	1556-6056
卷号	24 期号:1 页码:169-172
摘要	Time series analysis (TSA) is an important technique for extracting information from domain data. TSA is memory-bound on conventional platforms due to excessive off-chip data movements between processing units and the main memory of the system. Processing in memory (PIM) is a paradigm that alleviates the bottleneck of memory access for data-intensive applications by enabling computation to be performed directly within memory. In this paper, we first perform profiling to characterize TSA on conventional CPUs. Then, we implement TSA on real-world commercial DRAM Dual-Inline Memory Module (DIMM) PIM hardware UPMEM and identify computation as the primary bottleneck on PIM. Finally, we evaluate the impact of enhancing the computational capability of current DIMM PIM hardware on accelerating TSA. Overall, our work provides insights for designing the optimized DIMM PIM architecture for high-performance and efficient time series analysis.
关键词	Time series analysis Computer architecture Pipelines Hardware Bandwidth Indexes Parallel processing Data mining Central Processing Unit Data transfer processing in memory
DOI	10.1109/LCA.2025.3562431
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[62202454] ; National Natural Science Foundation of China[62488101] ; Beijing Natural Science Foundation[QY23181]
WOS研究方向	Computer Science
WOS类目	Computer Science, Hardware & Architecture
WOS记录号	WOS:001502792000005
出版者	IEEE COMPUTER SOC
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/42310
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Li, Xueqi
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 101408, Peoples R China
推荐引用方式 GB/T 7714	Shi, Shunchen,Yang, Fan,Li, Zhichun,et al. Exploring the DIMM PIM Architecture for Accelerating Time Series Analysis[J]. IEEE COMPUTER ARCHITECTURE LETTERS,2025,24(1):169-172.
APA	Shi, Shunchen,Yang, Fan,Li, Zhichun,Li, Xueqi,&Sun, Ninghui.(2025).Exploring the DIMM PIM Architecture for Accelerating Time Series Analysis.IEEE COMPUTER ARCHITECTURE LETTERS,24(1),169-172.
MLA	Shi, Shunchen,et al."Exploring the DIMM PIM Architecture for Accelerating Time Series Analysis".IEEE COMPUTER ARCHITECTURE LETTERS 24.1(2025):169-172.