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CLOCK-DWF: A Write-History-Aware Page Replacement Algorithm for Hybrid PCM and DRAM Memory Architectures

Title
CLOCK-DWF: A Write-History-Aware Page Replacement Algorithm for Hybrid PCM and DRAM Memory Architectures
Authors
Lee, SoyoonBahn, HyokyungNoh, Sam H.
Ewha Authors
반효경이소윤
SCOPUS Author ID
반효경scopus; 이소윤scopus
Issue Date
2014
Journal Title
IEEE TRANSACTIONS ON COMPUTERS
ISSN
0018-9340JCR Link

1557-9956JCR Link
Citation
IEEE TRANSACTIONS ON COMPUTERS vol. 63, no. 9, pp. 2187 - 2200
Keywords
CLOCK algorithmhybrid memorypage replacementPCMwrite references
Publisher
IEEE COMPUTER SOC
Indexed
SCI; SCIE; SCOPUS WOS
Document Type
Article
Abstract
Phase change memory (PCM) has emerged as one of the most promising technologies to incorporate into the memory hierarchy of future computer systems. However, PCM has two critical weaknesses to substitute DRAM memory in its entirety. First, the number of write operations allowed to each PCM cell is limited. Second, write access time of PCM is about 6-10 times slower than that of DRAM. To cope with this situation, hybrid memory architectures that use a small amount of DRAM together with PCM have been suggested. In this paper, we present a new memory management technique for hybrid PCM and DRAM memory architecture that efficiently hides the slow write performance of PCM. Specifically, we aim to estimate future write references accurately and then absorb frequent memory writes into DRAM. To do this, we analyze the characteristics of memory write references and find two noticeable phenomena. First, using write history alone performs better than using both read and write history in estimating future write references. Second, the frequency characteristic is a better estimator than temporal locality in predicting future memory writes. Based on these two observations, we present a new page replacement algorithm called CLOCK-DWF (CLOCK with Dirty bits and Write Frequency) that significantly reduces the number of write operations that occur on PCM and also increases the lifespan of PCM memory.
DOI
10.1109/TC.2013.98
Appears in Collections:
인공지능대학 > 컴퓨터공학과 > Journal papers
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