Half-DRAM

Author:

Zhang Tao1,Chen Ke2,Xu Cong3,Sun Guangyu4,Wang Tao4,Xie Yuan3

Affiliation:

1. Pennsylvania State University and NVIDIA Corporation

2. Oracle Corporation

3. Pennsylvania State University

4. Peking University

Abstract

DRAM memory is a major contributor for the total power consumption in modern computing systems. Consequently, power reduction for DRAM memory is critical to improve system-level power efficiency. Fine-grained DRAM architecture [1, 2] has been proposed to reduce the activation/ precharge power. However, those prior work either incurs significant performance degradation or introduces large area overhead. In this paper, we propose a novel memory architecture Half-DRAM, in which the DRAM array is reorganized to enable only half of a row being activated. The half-row activation can effectively reduce activation power and meanwhile sustain the full bandwidth one bank can provide. In addition, the half-row activation in Half-DRAM relaxes the power constraint in DRAM, and opens up opportunities for further performance gain. Furthermore, two half-row accesses can be issued in parallel by integrating the sub-array level parallelism to improve the memory level parallelism. The experimental results show that Half-DRAM can achieve both significant performance improvement and power reduction, with negligible design overhead

Funder

Ministry of Science and Technology of the People's Republic of China

U.S. Department of Energy

National Science Foundation

National Natural Science Foundation of China

Publisher

Association for Computing Machinery (ACM)

Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DRAMScope: Uncovering DRAM Microarchitecture and Characteristics by Issuing Memory Commands;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29

2. FASA-DRAM: Reducing DRAM Latency with Destructive Activation and Delayed Restoration;ACM Transactions on Architecture and Code Optimization;2024-05-21

3. MIMDRAM: An End-to-End Processing-Using-DRAM System for High-Throughput, Energy-Efficient and Programmer-Transparent Multiple-Instruction Multiple-Data Computing;2024 IEEE International Symposium on High-Performance Computer Architecture (HPCA);2024-03-02

4. FASA-DRAM: Reducing DRAM Latency with Destructive Activation and Delayed Restoration;ACM Transactions on Architecture and Code Optimization;2024-02-23

5. SpyHammer: Understanding and Exploiting RowHammer Under Fine-Grained Temperature Variations;IEEE Access;2024

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