Title
Reducing DRAM Refresh Overheads with Refresh-Access Parallelism.
Abstract
This article summarizes the idea of refresh-access parallelism, which was published in HPCA 2014, and examines the worku0027s significance and future potential. The overarching objective of our HPCA 2014 paper is to reduce the significant negative performance impact of DRAM refresh with intelligent memory controller mechanisms. To mitigate the negative performance impact of DRAM refresh, our HPCA 2014 paper proposes two complementary mechanisms, DARP (Dynamic Access Refresh Parallelization) and SARP (Subarray Access Refresh Parallelization). The goal is to address the drawbacks of state-of-the-art per-bank refresh mechanism by building more efficient techniques to parallelize refreshes and accesses within DRAM. First, instead of issuing per-bank refreshes in a round-robin order, as it is done today, DARP issues per-bank refreshes to idle banks in an out-of-order manner. Furthermore, DARP proactively schedules refreshes during intervals when a batch of writes are draining to DRAM. Second, SARP exploits the existence of mostly-independent subarrays within a bank. With minor modifications to DRAM organization, it allows a bank to serve memory accesses to an idle subarray while another subarray is being refreshed. Our extensive evaluations on a wide variety of workloads and systems show that our mechanisms improve system performance (and energy efficiency) compared to three state-of-the-art refresh policies, and their performance bene ts increase as DRAM density increases.
Year
Venue
Field
2018
arXiv: Hardware Architecture
Dram,Efficient energy use,Computer science,Idle,Parallel computing,Exploit,Schedule,Memory controller,Embedded system,Overhead (business)
DocType
Volume
ISSN
Journal
abs/1805.01289
IPSI BgD Transactions on Advanced Research, July 2018, Volume 14, Number 2, ISSN 1820 - 4511
Citations 
PageRank 
References 
0
0.34
25
Authors
7
Name
Order
Citations
PageRank
Kai-Wei Chang14735276.81
Dong-Hyuk Lee2125448.26
Zeshan Chishti372334.65
Alaa R. Alameldeen4167280.06
Chris Wilkerson5157561.73
Yoongu Kim6139644.25
Onur Mutlu79446357.40