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Journal of Zhejiang University SCIENCE C 2011 Vol.12 No.8 P.629-637


A power-aware code-compression design for RISC/VLIW architecture

Author(s):  Che-Wei Lin, Chang Hong Lin, Wei Jhih Wang

Affiliation(s):  Department of Electronic Engineering, National Taiwan University of Science and Technology, Taiwan 106, Taipei

Corresponding email(s):   chlin@mail.ntust.edu.tw

Key Words:  LZW compression, Cell-based libraries, Instruction level parallelism (ILP), VLIW processors

Che-Wei Lin, Chang Hong Lin, Wei Jhih Wang. A power-aware code-compression design for RISC/VLIW architecture[J]. Journal of Zhejiang University Science C, 2011, 12(8): 629-637.

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A1 - Wei Jhih Wang
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.C1000321

We studied the architecture of embedded computing systems from the viewpoint of power consumption in memory systems and used a selective-code-compression (SCC) approach to realize our design. Based on the LZW (Lempel-Ziv-Welch) compression algorithm, we propose a novel cost effective compression and decompression method. The goal of our study was to develop a new SCC approach with an extended decision policy based on the prediction of power consumption. Our decompression method had to be easily implemented in hardware and to collaborate with the embedded processor. The hardware implementation of our decompression engine uses the TSMC 0.18 μm-2p6m model and its cell-based libraries. To calculate power consumption more accurately, we used a static analysis method to estimate the power overhead of the decompression engine. We also used variable sized branch blocks and considered several features of very long instruction word (VLIW) processors for our compression, including the instruction level parallelism (ILP) technique and the scheduling of instructions. Our code-compression methods are not limited to VLIW machines, and can be applied to other kinds of reduced instruction set computer (RISC) architecture.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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