Multi-Profile Instruction Based Compression

Code compression has been used to minimize the memory area requirement of embedded systems. Recently, performance improvement and energy consumption reductionare observed as a by-product of compression. In this paper we propose a novel technique for efficiently exploring the trade-offs involved in code compression. Our Multi-Profile approach to build dictionaries combines the best features of both static and dynamic program behaviors. The experiments with Mediabench and MiBench suites and the Leon (SPARCv8) processor reveals a compression ratio as low as 71% while performance speed-up

• Type: Conference
• Year: 2004
• Where: SBACPAD
• Authors: Eduardo Wanderley Netto, Rodolfo Azevedo, Paulo Centoducatte, Guido Araujo
• Keywords: Code Compression, Compression Ratio, Hardware, Memory Area Requirement, SBACPAD 2004