CLR-DRAM: A Low-Cost DRAM Architecture Enabling Dynamic Capacity-Latency Trade-Off
Haocong Luo, Taha Shahroodi, Hasan Hassan, Minesh Patel, Abdullah Giray Yaglikçi, Lois Orosa, Jisung Park, Onur Mutlu
摘要
DRAM is the prevalent main memory technology, but its long access latency can limit the performance of many workloads. Although prior works provide DRAM designs that reduce DRAM access latency, their reduced storage capacities hinder the performance of workloads that need large memory capacity. Because the capacity-latency trade-off is fixed at design time, previous works cannot achieve maximum performance under very different and dynamic workload demands.
This paper proposes Capacity-Latency-Reconfigurable DRAM (CLR-DRAM), a new DRAM architecture that enables dynamic capacity-latency trade-off at low cost. CLR-DRAM allows dynamic reconfiguration of any DRAM row to switch between two operating modes: 1) max-capacity mode, where every DRAM cell operates individually to achieve approximately the same storage density as a density-optimized commodity DRAM chip and 2) high-performance mode, where two adjacent DRAM cells in a DRAM row and their sense amplifiers are coupled to operate as a single low-latency logical cell driven by a single logical sense amplifier.
We implement CLR-DRAM by adding isolation transistors in each DRAM subarray. Our evaluations show that CLR-DRAM can improve system performance and DRAM energy consumption by 18.6% and 29.7% on average with four-core multiprogrammed workloads. We believe that CLR-DRAM opens new research directions for a system to adapt to the diverse and dynamically changing memory capacity and access latency demands of workloads.
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引用它的顶会 Paper20
- BlockHammer: Preventing RowHammer at Low Cost by Blacklisting Rapidly-Accessed DRAM RowsAbdullah Giray Yaglikçi, Minesh Patel, Jeremie S. Kim, Roknoddin Azizi 等HPCA 2021 · 被引用 124 次
- Uncovering In-DRAM RowHammer Protection Mechanisms: A New Methodology, Custom RowHammer Patterns, and ImplicationsHasan Hassan, Yahya Can Tugrul, Jeremie S. Kim, Victor van der Veen 等MICRO 2021 · 被引用 79 次
- A Deeper Look into RowHammer's Sensitivities: Experimental Analysis of Real DRAM Chipsand Implications on Future Attacks and DefensesLois Orosa, Abdullah Giray Yaglikçi, Haocong Luo, Ataberk Olgun 等MICRO 2021 · 被引用 74 次
- FIGARO: Improving System Performance via Fine-Grained In-DRAM Data Relocation and CachingYaohua Wang, Lois Orosa, Xiangjun Peng, Yang Guo 等MICRO 2020 · 被引用 72 次
- Reducing solid-state drive read latency by optimizing read-retryJisung Park, Myungsuk Kim, Myoungjun Chun, Lois Orosa 等ASPLOS 2021 · 被引用 66 次
它引用的顶会 Paper2
- DRAMA: Exploiting DRAM Addressing for Cross-CPU AttacksPeter Pessl, Daniel Gruss, Clémentine Maurice, Michael Schwarz 等USENIX Security 2016 · 被引用 500 次
- The Virtual Block Interface: A Flexible Alternative to the Conventional Virtual Memory FrameworkNastaran Hajinazar, Pratyush Patel, Minesh Patel, Konstantinos Kanellopoulos 等ISCA 2020 · 被引用 25 次
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