Title :
A heuristic state assignment algorithm targeting area
Author :
Heng Hu ; Hongxi Xue ; Jinian Bian
Author_Institution :
Comput. Sci. Dept., Tsinghua Univ., Beijing, China
Abstract :
This paper presents a new efficient algorithm (designated as BHE) for the state assignment of Finite state machines (FSMs), which is based on the Huffman coding and balanced binary tree algorithms to solve the graph-embedding problem in the state assignment process. Experiments over the MCNC logic synthesis and optimization benchmarks show that compared with NOVA and MFA, BHE can reduce area by 23.2% and 11.4% in less than 10% CPU time.
Keywords :
Huffman codes; finite state machines; optimisation; state assignment; BHE; CPU time; FSM; Huffman coding; MCNC logic synthesis; MFA; NOVA; balanced binary tree algorithms; finite state machines; graph embedding problem; heuristic state assignment algorithm; optimization benchmarks; state assignment;
Conference_Titel :
ASIC, 2003. Proceedings. 5th International Conference on
Print_ISBN :
0-7803-7889-X
DOI :
10.1109/ICASIC.2003.1277498