Title :
Autonomous Design in VLSI: An In-House Universal Cellular Neural Platform
Author :
Krundel, Ludovic A. ; Mulvaney, David J. ; Chouliaras, Vassilios A.
Author_Institution :
Dept. of Electron. & Electr. Eng., Loughborough Univ., Loughborough, UK
Abstract :
Improved on-chip circuit densities have enabled the practical realization of increasingly demanding applications. Microelectronics design now faces a number of challenges: hardware has become more complex to describe making it a more arduous process for designs to pass verification and the proportion of a design that is covered by testing is reduced increasing the likelihood of bugs in the final hardware device. To meet these challenges while more effectively exploiting the larger silicon areas now available, methods that enable autonomous design have become highly desirable and thus novel ones are proposed hereby.
Keywords :
VLSI; cellular neural nets; integrated circuit design; VLSI; bugs; in-house universal cellular neural platform; microelectronics design; on-chip circuit densities; Artificial neural networks; Hardware; Integrated circuit modeling; Microelectronics; Neurons; Robots; System-on-a-chip;
Conference_Titel :
VLSI (ISVLSI), 2010 IEEE Computer Society Annual Symposium on
Conference_Location :
Lixouri, Kefalonia
Print_ISBN :
978-1-4244-7321-2
DOI :
10.1109/ISVLSI.2010.29