德拉姆
延迟时间
计算机科学
延迟(音频)
嵌入式系统
建筑
计算机体系结构
操作系统
计算机硬件
内存控制器
半导体存储器
电信
艺术
视觉艺术
作者
Haocong Luo,Taha Shahroodi,Hasan Hassan,Minesh Patel,A. Giray Yaglikci,Lois Orosa,Jisung Park,Onur Mutlu
出处
期刊:International Symposium on Computer Architecture
日期:2020-05-30
被引量:21
标识
DOI:10.1109/isca45697.2020.00061
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI