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 ...
- 《Journal of Vlsi Signal Processing Systems for Signal Image & Video Technology》 被引量: 104发表: 1998年 The Artemis Workbench for System-level Performance Evaluation of Embedded System Architectures at Multiple Abstraction Levels Disclaimer/Complaints regulationsIf you believe that digital publication...
Estimation of signal activity in digital circuits based on multiple abstraction levels and massive parallel simulation techniques This paper presents a methodology for modeling and esti-mating signal activity figures of both sequential and combinatorial cir-cuits at all stages of VLSI circuit design. An...
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 ...
The rise of the abstraction level when designing the hardware (HW) and software (SW) parts of multiprocessor systems on chip (MPSoC) permits to master the ... Y Atat,NE Zergainoh - IEEE Computer Society Symposium on Vlsi 被引量: 34发表: 2007年 ...