Institute of Computing Technology, Chinese Academy IR
An Energy-Efficient In-Memory Accelerator for Graph Construction and Updating | |
Chen, Mingkai; Liu, Cheng; Liang, Shengwen; He, Lei; Wang, Ying; Zhang, Lei; Li, Huawei; Li, Xiaowei | |
2024-06-01 | |
发表期刊 | IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS |
ISSN | 0278-0070 |
卷号 | 43期号:6页码:1781-1793 |
摘要 | Graph is widely utilized as a key data structure in many applications, such as social network and recommendation systems. However, many real-world graphs are constructed with large-scale correlated data, which typically involves massive random memory accesses and distance calculation resulting in considerable processing time and energy consumption on CPUs and GPUs. In this work, we present GCiM, a specialized processing-in-memory architecture for efficient graph construction and updating. By directly deploying the computing units on the logic layer of the 3-D stacked memory, GCiM benefits from memory-level parallelism and further improves the memory access efficiency with both optimized processing ordering and data layout. In addition, we notice that the computing engines for graph updating suffer from dramatic utilization imbalance and integrate a power gating module to cut down the power supply of the idle computing engines at runtime and further enhance the energy efficiency. According to our experiments, GCiM shows 634.64x and 56.27x speedup while consuming 1194.14x and 505.07x less energy compared to CPU and GPU, respectively. |
关键词 | Memory management Buildings Bandwidth Hardware Social networking (online) Energy efficiency Parallel processing Graph construction graph updating near-data processing nearest neighbors power gating stacked memory |
DOI | 10.1109/TCAD.2024.3355038 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China (NSFC) |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Hardware & Architecture ; Computer Science, Interdisciplinary Applications ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:001230178400021 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.204/handle/2XEOYT63/40031 |
专题 | 中国科学院计算技术研究所期刊论文_英文 |
通讯作者 | Liu, Cheng |
作者单位 | Chinese Acad Sci, Inst Comp Technol, State Key Lab Processors, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, Mingkai,Liu, Cheng,Liang, Shengwen,et al. An Energy-Efficient In-Memory Accelerator for Graph Construction and Updating[J]. IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS,2024,43(6):1781-1793. |
APA | Chen, Mingkai.,Liu, Cheng.,Liang, Shengwen.,He, Lei.,Wang, Ying.,...&Li, Xiaowei.(2024).An Energy-Efficient In-Memory Accelerator for Graph Construction and Updating.IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS,43(6),1781-1793. |
MLA | Chen, Mingkai,et al."An Energy-Efficient In-Memory Accelerator for Graph Construction and Updating".IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 43.6(2024):1781-1793. |
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