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 ...
Fast exploration of bus-based communication architectures at the CCATB abstraction Currently, system-on-chip (SoC) designs are becoming increasingly complex, with more and more components being integrated into a single SoC design. Communi... S Pasricha,N Dutt,M Ben-Romdhane - 《Acm Transactions ...
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 ...
Simulink-based MPSoC Design: New Approach to Bridge the Gap between Algorithm and Architecture Design 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 Co...