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GBDI: Going Beyond Base-Delta-Immediate Compression with Global Bases

Angerd, Alexandra, 1988 (author)
Arelakis, Angelos, 1984 (author)
Spiliopoulos, Vasilis (author)
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Sintorn, Erik, 1980 (author)
Chalmers tekniska högskola,Chalmers University of Technology
Stenström, Per, 1957 (author)
Chalmers tekniska högskola,Chalmers University of Technology
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 (creator_code:org_t)
ISBN 9781665420273
2022
2022
English.
In: Proceedings - International Symposium on High-Performance Computer Architecture. - 1530-0897. - 9781665420273 ; 2022-April, s. 1115-1127
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Memory bandwidth is limiting performance for many emerging applications. While compression techniques can unlock a higher memory bandwidth, prior art offers only modestly better bandwidth. This paper contributes with a new compression method - Global Base Delta Immediate compression (GBDI) - that offers substantially higher memory bandwidth by, unlike prior art, selecting base values across memory blocks. GBDI uses a novel clustering algorithm through data analysis in the background. The presented accelerator infrastructure offers low area overhead and latency. This paper shows that GBDI offers a compression ratio of 2.3×, and yields 1.5× higher bandwidth and 1.1× higher performance compared with a baseline without compression support, on average, for SPEC2017 benchmarks requiring medium to high memory bandwidth.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Engineering (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

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