NDLI: Warped-compression:enabling power efficient GPUs through register compression

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Volume 43, Issue 1, March 2015

Warped-compression:enabling power efficient GPUs through register compression

Content Provider	ACM Digital Library
Author	Annavaram, Murali Jeon, Hyeran Koo, Gunjae Lee, Sangpil Kim, Keunsoo Ro, Won Woo
Abstract	This paper presents Warped-Compression, a warp-level register compression scheme for reducing GPU power consumption. This work is motivated by the observation that the register values of threads within the same warp are similar, namely the arithmetic differences between two successive thread registers is small. Removing data redundancy of register values through register compression reduces the effective register width, thereby enabling power reduction opportunities. GPU register files are huge as they are necessary to keep concurrent execution contexts and to enable fast context switching. As a result register file consumes a large fraction of the total GPU chip power. GPU design trends show that the register file size will continue to increase to enable even more thread level parallelism. To reduce register file data redundancy warped-compression uses low-cost and implementation-efficient base-delta-immediate (BDI) compression scheme, that takes advantage of banked register file organization used in GPUs. Since threads within a warp write values with strong similarity, BDI can quickly compress and decompress by selecting either a single register, or one of the register banks, as the primary base and then computing delta values of all the other registers, or banks. Warped-compression can be used to reduce both dynamic and leakage power. By compressing register values, each warp-level register access activates fewer register banks, which leads to reduction in dynamic power. When fewer banks are used to store the register content, leakage power can be reduced by power gating the unused banks. Evaluation results show that register compression saves 25% of the total register file power consumption.
Starting Page	502
Ending Page	514
Page Count	13
File Format	PDF
ISSN	01635964
DOI	10.1145/2872887.2750417
Journal	ACM SIGARCH Computer Architecture News (CARN)
Volume Number	43
Issue Number	3
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1981-04-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Content Type	Text
Resource Type	Article

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