Machine learning applications in physical design: Recent results and directions

AB Kahng - Proceedings of the 2018 international symposium on …, 2018 - dl.acm.org
In the late-CMOS era, semiconductor and electronics companies face severe product
schedule and other competitive pressures. In this context, electronic design automation …

敏捷设计中基于机器学习的静态时序分析方法综述

贺旭, 王耀, 傅智勇, 李暾, 屈婉霞, 万海… - 计算机辅助设计与图形学 …, 2023 - jcad.cn
随着集成电路规模越来越大, 设计变得越来越复杂. 为了有效地提升设计生产率,
芯片敏捷设计受到越来越广泛的重视. 在芯片RTL-to-GDSII 设计流程中, 敏捷设计方法需要广泛 …

A deep learning methodology to proliferate golden signoff timing

SS Han, AB Kahng, S Nath… - … Design, Automation & …, 2014 - ieeexplore.ieee.org
Signoff timing analysis remains a critical element in the IC design flow. Multiple signoff
corners, libraries, design methodologies, and implementation flows make timing closure …

New directions for learning-based IC design tools and methodologies

AB Kahng - 2018 23rd Asia and South pacific design …, 2018 - ieeexplore.ieee.org
Design-based equivalent scaling now bears much of the burden of continuing the
semiconductor industry's trajectory of Moore's-Law value scaling. In the future, reductions of …

Gateway placement for latency and energy efficient data aggregation [wireless sensor networks]

JL Wong, R Jafari, M Potkonjak - 29th Annual IEEE …, 2004 - ieeexplore.ieee.org
We propose the use of multiple gateways to significantly reduce latency and energy
consumption in multi-hop wireless sensor networks during data aggregation. We have …

[图书][B] Machine Learning Techniques for VLSI Chip Design

A Kumar, SL Tripathi, KS Rao - 2023 - books.google.com
MACHINE LEARNING TECHNIQUES FOR VLSI CHIP DESIGN This cutting-edge new
volume covers the hardware architecture implementation, the software implementation …

Unleashing the Potential of Machine Learning: Harnessing the Dynamics of Supply Noise for Timing Sign-Off

Y Chen, X Dong, WK Shih… - 2023 IEEE/ACM …, 2023 - ieeexplore.ieee.org
With the continuously growing supply noise in advanced technologies, timing sign-off has
become increasingly challenging. On one hand, sign-off with the worst-case static supply …

Implementation of machine learning in VLSI integrated circuit design

S Shreyanth, DS Harshitha, S Niveditha - SN Computer Science, 2023 - Springer
Abstract Machine learning has made an impact on the area attributed to microchip, and it is
initially used in automation. These techniques will eventually supplant the current VLSI …

Applications of VLSI Design in Artificial Intelligence and Machine Learning

IU Khan, N Mittal, MA Ansari - Machine Learning for VLSI Chip …, 2023 - Wiley Online Library
In our advanced times, complementary metal‐oxide semiconductor (CMOS) based
organizations like semiconductor and gadgets face extreme scheduling of products and …

[图书][B] New Applications of Learning-Based Modeling in Nanoscale Integrated-Circuit Design

S Nath - 2016 - search.proquest.com
In today's leading-edge semiconductor technologies, it is increasingly difficult for IC
designers to achieve sufficient improvements of performance, power and area metrics in …