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Code compression for embedded VLIW processors using variable-to-fixed coding

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3 Author(s)
Yuan Xie ; Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA, USA ; W. Wolf ; H. Lekatsas

In embedded system design, memory is one of the most restricted resources, posing serious constraints on program size. Code compression has been used as a solution to reduce the code size for embedded systems. Lossless data compression techniques are used to compress instructions, which are then decompressed on-the-fly during execution. Previous work used fixed-to-variable coding algorithms that translate fixed-length bit sequences into variable-length bit sequences. In this paper, we present a class of code compression techniques called variable-to-fixed code compression (V2FCC), which uses variable-to-fixed coding schemes based on either Tunstall coding or arithmetic coding. Though the techniques are suitable for both reduced instruction set computer (RISC) and very long instruction word (VLIW) architectures, they favor VLIW architectures which require a high-bandwidth instruction prefetch mechanism to supply multiple operations per cycle, and fast decompression is critical to overcome the communication bottleneck between memory and CPU. Experimental results for a VLIW embedded processor TMS320C6x show that the compression ratios using memoryless V2FCC and Markov V2FCC are around 82.5% and 70%, respectively. Decompression unit designs for memoryless V2FCC and Markov V2FCC are implemented in TSMC 0.25-/spl mu/m technology.

Published in:

IEEE Transactions on Very Large Scale Integration (VLSI) Systems  (Volume:14 ,  Issue: 5 )