tag: machine learning

Machine Learning for VLSI CAD: A Case Study in On-Chip Power Grid Design
By Technical Paper Link - 15 Apr, 2022 - Comments: 0

Abstract "With the improvement of VLSI technology, on-chip power grid design is becoming more challenging than before. In this design phase of VLSI CAD, power grids are generated in order to make power and ground connections to transistors or logic blocks. However, due to the scaling of supply voltage and increase in the number of transistors per unit area of the chip, power grid design has ... » read more

Architecting Faster Computers
By Brian Bailey - 14 Apr, 2022 - Comments: 3

To create faster computers, the industry must take a major step back and re-examine choices that were made half a century ago. One of the most likely approaches involves dropping demands for determinism, and this is being attempted in several different forms. Since the establishment of the von Neumann architecture for computers, small, incremental improvements have been made to architectures... » read more

Finding And Applying Domain Expertise In IC Analytics
By Anne Meixner - 12 Apr, 2022 - Comments: 0

Behind PowerPoint slides depicting the data inputs and outputs of a data analytics platform belies the complexity, effort, and expertise that improve fab yield. With the tsunami of data collected for semiconductor devices, fabs need engineers with domain expertise to effectively manage the data and to correctly learn from the data. Naively analyzing a data set can lead to an uninteresting an... » read more

Moving Intelligence To The Edge
By Ed Sperling - 05 Apr, 2022 - Comments: 0

The buildout of the edge is driving a slew of new challenges and opportunities across the chip industry. Sailesh Chittipeddi, executive vice president at Renesas Electronics America, talks about the shift toward more AI-centric workloads rather than CPU-centric, why embedded computing is becoming the foundation of all intelligences, and the importance of software, security, and user experience ... » read more

Exploring far-from-equilibrium ultrafast polarization control in ferroelectric oxides with excited-state neural network quantum molecular dynamics
By Technical Paper Link - 01 Apr, 2022 - Comments: 0

New academic paper out of USC Viterbi School of Engineering: Abstract "Ferroelectric materials exhibit a rich range of complex polar topologies, but their study under far-from-equilibrium optical excitation has been largely unexplored because of the difficulty in modeling the multiple spatiotemporal scales involved quantum-mechanically. To study optical excitation at spatiotemporal scales w... » read more

An adaptive synaptic array using Fowler–Nordheim dynamic analog memory
By Technical Paper Link - 29 Mar, 2022 - Comments: 0

Abstract "In this paper we present an adaptive synaptic array that can be used to improve the energy-efficiency of training machine learning (ML) systems. The synaptic array comprises of an ensemble of analog memory elements, each of which is a micro-scale dynamical system in its own right, storing information in its temporal state trajectory. The state trajectories are then modulated by a sys... » read more

Week In Review: Manufacturing, Test
By Ed Sperling - 25 Mar, 2022 - Comments: 0

Worldwide fab equipment spending for front-end manufacturing is expected to hit $107 billion this year, an 18% year-over-year increase, according to SEMI’s latest World Fab Forecast report. “Crossing the $100 billion mark in spending on global fab equipment for the first time is a historic milestone for the semiconductor industry,” said Ajit Manocha, president and CEO of SEMI. Investme... » read more

Improving Machine Learning-Based Modeling of Semiconductor Devices by Data Self-Augmentation
By Technical Paper Link - 24 Mar, 2022 - Comments: 0

Abstract: "In the electronics industry, introducing Machine Learning (ML)-based techniques can enhance Technology Computer-Aided Design (TCAD) methods. However, the performance of ML models is highly dependent on their training datasets. Particularly in the semiconductor industry, given the fact that the fabrication process of semiconductor devices is complicated and expensive, it is of grea... » read more

Autonomous Design Automation: How Far Are We?
By Frank Schirrmeister - 24 Mar, 2022 - Comments: 0

The year is 2009, during the Design Automation Conference (DAC) at a press dinner in a posh little restaurant in San Francisco’s Civic Center. About two glasses of red wine in, one of the journalists challenges the table: “So, how far away are we from the black box that we feed with our design requirements and it produces the design that we send to the foundry?” We discussed all the indus... » read more

Cataloging IP In The Enterprise
By Ed Sperling - 22 Mar, 2022 - Comments: 0

Many companies have no way of documenting where IP they license is actually used, which version of that IP is being utilized, and whether that license extends to other projects or even to their customers. Pedro Pires, applications engineer at ClioSoft, looks at how IP currently is cataloged, why it’s been so difficult to do this in the past, and how AI can be used to speed up and simplify thi... » read more

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