TY  - JOUR
T1  - Physical resource binding for a coarse-grain reconfigurable array using evolutionary algorithms.
JF  - IEEE Transactions on VLSI systems
A1  - Ma, F.
LA  - English
UL  - https://tuklas.up.edu.ph/Record/UP-99796217609611357
AB  - One of the challenges of designing for coarse-grain reconfigurable arrays is the need for mature tools. This is especially important because of the heterogeneity of the larger, more predefined (and hence more specialized) array elements. This work describes the use of a genetic algorithm (GA) to automate the physical binding phase of kernel design. We identify the generalizable features of an example platform and discuss suitable ways to harness the binding problem to a GA search engine.
KW  - Coarse-grain reconfigurable array.
KW  - Evolutionary algorithms.
KW  - Genetic algorithm.
KW  - Kernel design.
KW  - Physical resource binding.
ER  -