电子学报2017，Vol.45Issue(9)：2256-2262,7.DOI:10.3969/j.issn.0372-2112.2017.09.029
基于流体系结构的VLIW二维压缩及并行解压
2-D Compression and Parallel Decoding of VLIW Based on Stream Architecture
摘要
Abstract
Due to having many NOPs,VLIW(Very Long Instruction Word) exists serious code size expansion problem.As an efficient way to solve this problem,the code compression needs to deal with three key points:improving the compression ratio (CR),simplifying decomposition operations,and relocating the branch target.According to the characteristics of VLIW on stream architecture,a two-dimension (2-D) compression scheme is put forward,where VLIW code is compressed in both vertical and horizontal directions,the horizontal decompression and code execution can be implemented in parallel,and loop entrance addresses are buffered by stack registers.The experiment results illustrate that 2-D compression scheme can resolve code expansion issue effectively.Specifically,it has achieved a 36.48％ area reduction of the on-chip instruction memory and a 7.85％ area reduction of the CISP system.关键词
流处理器/VLIW/二维压缩/并行解压Key words
stream processor/VLIW/2-D compression/parallel decoding分类
信息技术与安全科学引用本文复制引用
李功丽,戴紫彬,徐进辉,王寿成,朱玉飞,李丹..基于流体系结构的VLIW二维压缩及并行解压[J].电子学报,2017,45(9):2256-2262,7.基金项目
国家自然科学基金项目(No.61404175) （No.61404175）
