Machine Learning Perspective in VLSI Computer-Aided Design at Different Abstraction LevelsThis book gathers selected high-quality research papers presented at International Conference on Mobile Computing and Sustainable Informatics (ICMCSI 2021) organized by Pulchowk Campus, Institute of Engineering, Tribhuvan...
This paper presents different hardware implementations of a multi-layer perceptron (MLP) for speech recognition. When defining the designs, we have used two different abstraction levels: a register transfer level and a higher algorithmic-like level. The implementations have been developed and tested in...
The incorporation of machine learning in VLSI involves the application of machine learning algorithms at different abstraction levels of VLSI CAD. In this paper, we summarize several machine learning algorithms that have been developed and are being widely used. We also have briefly discussed about ...
Many design problems are solved using multiple levels of abstraction, where a design at one level has combinatorially many children at the next level. A stochastic optimization methods, such as simulated annealing, genetic algorithms and multi-start hill climbing, is often used in such cases to ...
S. Jayadevappa, R. Shankar, and I. Mahgoub, "A comparative study of mod- elling at different levels of abstraction in system on chip designs: a case study," in Proc. IEEE Computer Society Annual Symp. on VLSI, Tampa, USA, 2004, pp. 52-58....