A selective compressed memory system by on-line data decompressing

Jang Soo Lee; Won Kee Hong; Shin-Dug Kim

doi:10.1109/EURMIC.1999.794470

A selective compressed memory system by on-line data decompressing

Jang Soo Lee, Won Kee Hong, Shin-Dug Kim

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

The article proposes a selective compressed memory system (SCMS) focusing on a compressed cache architecture, in which only data blocks with good compression efficiency are compressed selectively and all compressed blocks are stored in a fixed memory space. The selective compression technique can reduce decompression overhead caused by online data decompression and also the fixed memory space allocation allows efficient management of the compressed blocks. The results from a trace driven simulation show that the SCMS approach can provide around a 35% decrease in the on-chip cache miss ratio as well as a 53% decrease in the data traffic over conventional memory systems. Furthermore, a large amount of the decompression overhead can be reduced, and thus the average memory access time can also be reduced by a maximum 20% against conventional memory systems.

Original language	English
Title of host publication	Proceedings - 25th EUROMICRO Conference on Informatics
Subtitle of host publication	Theory and Practice for the New Millennium, EUROMICRO 1999
Pages	224-227
Number of pages	4
Volume	1
DOIs	https://doi.org/10.1109/EURMIC.1999.794470
Publication status	Published - 1999 Dec 1
Event	25th EUROMICRO Conference on Informatics: Theory and Practice for the New Millennium, EUROMICRO 1999 - Milan, Italy Duration: 1999 Sep 8 → 1999 Sep 10

Other

Other	25th EUROMICRO Conference on Informatics: Theory and Practice for the New Millennium, EUROMICRO 1999
Country	Italy
City	Milan
Period	99/9/8 → 99/9/10

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All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Hardware and Architecture

Cite this

Lee, J. S., Hong, W. K., & Kim, S-D. (1999). A selective compressed memory system by on-line data decompressing. In Proceedings - 25th EUROMICRO Conference on Informatics: Theory and Practice for the New Millennium, EUROMICRO 1999 (Vol. 1, pp. 224-227). [794470] https://doi.org/10.1109/EURMIC.1999.794470

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abstract = "The article proposes a selective compressed memory system (SCMS) focusing on a compressed cache architecture, in which only data blocks with good compression efficiency are compressed selectively and all compressed blocks are stored in a fixed memory space. The selective compression technique can reduce decompression overhead caused by online data decompression and also the fixed memory space allocation allows efficient management of the compressed blocks. The results from a trace driven simulation show that the SCMS approach can provide around a 35% decrease in the on-chip cache miss ratio as well as a 53% decrease in the data traffic over conventional memory systems. Furthermore, a large amount of the decompression overhead can be reduced, and thus the average memory access time can also be reduced by a maximum 20% against conventional memory systems.",

author = "Lee, {Jang Soo} and Hong, {Won Kee} and Shin-Dug Kim",

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Lee, JS, Hong, WK & Kim, S-D 1999, A selective compressed memory system by on-line data decompressing. in Proceedings - 25th EUROMICRO Conference on Informatics: Theory and Practice for the New Millennium, EUROMICRO 1999. vol. 1, 794470, pp. 224-227, 25th EUROMICRO Conference on Informatics: Theory and Practice for the New Millennium, EUROMICRO 1999, Milan, Italy, 99/9/8. https://doi.org/10.1109/EURMIC.1999.794470

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N2 - The article proposes a selective compressed memory system (SCMS) focusing on a compressed cache architecture, in which only data blocks with good compression efficiency are compressed selectively and all compressed blocks are stored in a fixed memory space. The selective compression technique can reduce decompression overhead caused by online data decompression and also the fixed memory space allocation allows efficient management of the compressed blocks. The results from a trace driven simulation show that the SCMS approach can provide around a 35% decrease in the on-chip cache miss ratio as well as a 53% decrease in the data traffic over conventional memory systems. Furthermore, a large amount of the decompression overhead can be reduced, and thus the average memory access time can also be reduced by a maximum 20% against conventional memory systems.

AB - The article proposes a selective compressed memory system (SCMS) focusing on a compressed cache architecture, in which only data blocks with good compression efficiency are compressed selectively and all compressed blocks are stored in a fixed memory space. The selective compression technique can reduce decompression overhead caused by online data decompression and also the fixed memory space allocation allows efficient management of the compressed blocks. The results from a trace driven simulation show that the SCMS approach can provide around a 35% decrease in the on-chip cache miss ratio as well as a 53% decrease in the data traffic over conventional memory systems. Furthermore, a large amount of the decompression overhead can be reduced, and thus the average memory access time can also be reduced by a maximum 20% against conventional memory systems.

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Access to Document

10.1109/EURMIC.1999.794470