Using Genetic Programming and High Level Synthesis to Design Optimized Datapath

This paper presents a methodology to design optimized electronic systems from high abstraction level descriptions. The methodology uses Genetic Programming in addition to high-level synthesis tools to automatically improve design structural quality (area measure). A two-stage, multiobjective optimization algorithm is used to search for circuits with the desired functionality subjected additionally to chip area constraints. Experiment with a square-root approximation datapath design targeted to FPGA exemplifies the proposed methodology.

• Type: Conference
• Year: 2003
• Where: ICES
• Authors: Sérgio G. Araújo, Antônio C. Mesquita, Aloysio Pedroza
• Keywords: ICES 2003, Methodology, Multiobjective Optimization Algorithm, Square-root Approximation Datapath