Abstract
The need for inexpensive, compact and adaptive systems has seen accelerated interest in the codesign of embedded systems. The ability to estimate the acceleration obtainable is highly desirable, as time to market deadlines are being ever shortened. The performance of such systems is fundamentally dependent on the hardware-software (HW-SW) partition. In this paper a genetic algorithm-based hardware-software partitioning method is presented. Demonstrative applications are used to show the effectiveness of the genetic algorithm at exploiting the reconfigurable nature of such systems.
Cite
CITATION STYLE
Harkin, J., McGinnity, T. M., & Maguire, L. P. (2001). Hardware-software partitioning: A reconfigurable and evolutionary computing approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2147, pp. 595–600). Springer Verlag. https://doi.org/10.1007/3-540-44687-7_62
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
