Proceedings of the ACM SIGPLAN 1997 conference on Programming language design and implementation
MediaBench: a tool for evaluating and synthesizing multimedia and communicatons systems
MICRO 30 Proceedings of the 30th annual ACM/IEEE international symposium on Microarchitecture
A text-compression-based method for code size minimization in embedded systems
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Compiler-driven cached code compression schemes for embedded ILP processors
Proceedings of the 32nd annual ACM/IEEE international symposium on Microarchitecture
A code compression system based on pipelined interpreters
Software—Practice & Experience
Split-stream dictionary program compression
PLDI '00 Proceedings of the ACM SIGPLAN 2000 conference on Programming language design and implementation
Design and simulation of a pipelined decompression architecture for embedded systems
Proceedings of the 14th international symposium on Systems synthesis
Profile-guided code compression
PLDI '02 Proceedings of the ACM SIGPLAN 2002 Conference on Programming language design and implementation
Design of an one-cycle decompression hardware for performance increase in embedded systems
Proceedings of the 39th annual Design Automation Conference
On the side-effects of code abstraction
Proceedings of the 2003 ACM SIGPLAN conference on Language, compiler, and tool for embedded systems
Thumb: Reducing the Cost of 32-bit RISC Performance in Portable and Consumer Applications
COMPCON '96 Proceedings of the 41st IEEE International Computer Conference
Combined Selection of Tile Sizes and Unroll Factors Using Iterative Compilation
PACT '00 Proceedings of the 2000 International Conference on Parallel Architectures and Compilation Techniques
Survey of code-size reduction methods
ACM Computing Surveys (CSUR)
Profile Guided Management of Code Partitions for Embedded Systems
Proceedings of the conference on Design, automation and test in Europe - Volume 2
Profile-Driven Selective Code Compression
DATE '03 Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
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The design of an embedded system is often heavily constrained by its performance objective and budget envelope. Software code compression may reduce the instruction memory space and then the overall cost of the system. However, it may also induce performance degradation. Previous studies proposed selective code compression using profile information in order to reduce the performance penalty. In this paper, we go one step further. We propose a software-only compression system, called SCS, that automatically finds trade-offs between code size and performance. Through an iterative approach, SCS automatically determines which functions to be compressed given a performance constraint and/or a code size constraint in order to guarantee a minimal performance and a maximal code size for an application. Experimentations illustrate that even with a non-optimal software decompression approach, SCS achieves a high compression rate with a minimal performance degradation.