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 …
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 …
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
Signoff timing analysis remains a critical element in the IC design flow. Multiple signoff
corners, libraries, design methodologies, and implementation flows make timing closure …
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 …
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]
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 …
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 …
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 …
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 …
initially used in automation. These techniques will eventually supplant the current VLSI …
Applications of VLSI Design in Artificial Intelligence and Machine Learning
In our advanced times, complementary metal‐oxide semiconductor (CMOS) based
organizations like semiconductor and gadgets face extreme scheduling of products and …
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 …
designers to achieve sufficient improvements of performance, power and area metrics in …