DocumentCode
2708277
Title
An instruction set architecture based code compression scheme for embedded processors
Author
Menon, Sreejith K. ; Shankar, Priti
Author_Institution
Dept. of Comput. Sci. & Autom., Indian Inst. of Sci., Bangalore, India
fYear
2005
fDate
29-31 March 2005
Firstpage
470
Abstract
Summary form only given. We propose a general purpose code compression scheme for embedded systems, based on the instruction set architecture and report results on the Intel StrongARM, a low-cost, low-power RISC architecture and TI TMS320C62x, a widely used VLIW architecture. Fast decompression techniques are explored to improve the decompression overhead of the compression scheme. Compression ratios ranging from 68% to 75% were obtained for TMS320C62x and 69% to 78% for the StrongARM processor. The basic idea of the compression scheme is to divide the instructions into different logical classes and to build multiple dictionaries for them. The size and the number of multiple dictionaries are fixed for a given processor and are determined by the partitioning algorithm which works over the instruction set architecture supplied as input. Frequently occurring unique instruction segments are inserted into the dictionaries and the instructions are encoded as pointers to the respective entries. An opcode, which helps in fast decompression, is attached to an instruction segment to identify its logical class and the dictionary to be accessed.
Keywords
data compression; embedded systems; microprocessor chips; reduced instruction set computing; Intel StrongARM; TI TMS320C62x; VLIW architecture; embedded processors; fast decompression; general purpose code compression; instruction set architecture; low-power RISC architecture; multiple dictionaries; opcode; partitioning algorithm; Automation; Computer architecture; Computer science; Data compression; Decoding; Dictionaries; Embedded system; Hamming distance; Reduced instruction set computing; VLIW;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 2005. Proceedings. DCC 2005
ISSN
1068-0314
Print_ISBN
0-7695-2309-9
Type
conf
DOI
10.1109/DCC.2005.15
Filename
1402227
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