NDLI: Improving code compression using clustered modalities

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Improving code compression using clustered modalities

Content Provider	ACM Digital Library
Author	Sterling, Thomas Michael, Chris J. Brodowicz, Maciej
Abstract	Instruction pressure is the level of time, space, and power required to manage the instruction stream to support high-speed execution of modern multicore general processor and embedded controller based computing. L1 instruction cache and processor pin bandwidth are examples of direct resource costs imposed by the instruction access demand of a processor architecture. This paper explores the potential for reducing instruction pressure through a combination of variable length binary instruction set and Huffman encoding to reduce the average number of bits per instruction compared to a typical fixed-length fixed-code binary instruction set. The PRECISE (Processor Register Extensions for Collapsed Instruction Set Encoding) methodology addresses the data type, opcode, and register access components of the instruction stream. This paper focuses on opcode compression through a set of benchmark-driven experiments to identify clusters of near optimal ISA fits. The results demonstrate that a small number of distinct binary ISAs can provide reasonably good fits across a broad range of application benchmarks.
Starting Page	423
Ending Page	428
Page Count	6
File Format	PDF
ISBN	9781605581057
DOI	10.1145/1593105.1593217
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-03-28
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Code compression Instruction set architecture Data clustering
Content Type	Text
Resource Type	Article

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