Advanced compiler design and implementation
Advanced compiler design and implementation
Math toolkit for real-time programming
Math toolkit for real-time programming
Hardware/software instruction set configurability for system-on-chip processors
Proceedings of the 38th annual Design Automation Conference
Polynomial circuit models for component matching in high-level synthesis
IEEE Transactions on Very Large Scale Integration (VLSI) Systems - System Level Design
Retargetable Code Generation for Digital Signal Processors
Retargetable Code Generation for Digital Signal Processors
Code Generation for Embedded Processors
Code Generation for Embedded Processors
Custom Memory Management Methodology: Exploration of Memory Organisation for Embedded Multimedia System Design
Symbolic algebra and timing driven data-flow synthesis
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
Low Power Embedded Software Optimization Using Symbolic Algebra
Proceedings of the conference on Design, automation and test in Europe
Software optimization for MPSoC: a mpeg-2 decoder case study
CODES+ISSS '08 Proceedings of the 6th IEEE/ACM/IFIP international conference on Hardware/Software codesign and system synthesis
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Embedded software designers often use libraries that have been pre-optimized for a given processor to achieve higher code quality. However, using such libraries in legacy code optimization is nontrivial and typically requires manual intervention. This paper presents a methodology that maps algorithmic constructs of the software specification to a library of complex software elements. This library-mapping step is automated by using symbolic algebra techniques. We illustrate the advantages of our methodology by optimizing an algorithmic level description of MPEG Layer III (MP3) audio decoder for the Badge4 [2] portable embedded system. During the optimization process we use commercially available libraries with complex elements ranging from simple mathematical functions such as exp to the IDCT routine. We implemented and measured the performance and energy consumption of the MP3 decoder software on Badge4 running embedded Linux operating system. The optimized MP3 audio decoder runs 300 times faster than the original code obtained from the standards body while consuming 400 times less energy. Since our optimized MP3 decoder runs 3.5 times faster than real-time, additional energy can be saved by using processor frequency and voltage scaling.