Compiler Optimization Made Easy


In a previous blog post, we discussed the benefits of using automation to maximize the performance of a system. One use case I mentioned was compiler flag mining, and the fact that performance is available beyond the standard optimization flags provided by most compilers. Getting to this untapped performance is a difficult problem to solve, but fortunately there is an easy way. A universe of o... » read more

AI: Engineering Tool Or Threat To Jobs?


Semiconductor Engineering sat down to talk about using AI for designing and testing complex chips with Michael Jackson, corporate vice president for R&D at Cadence; Joel Sumner, vice president of semiconductor and electronics engineering at National Instruments; Grace Yu, product and engineering manager at Meta; David Pan, professor in the Department of Electrical and Computer Engineering a... » read more

Beyond Human Reach: Meeting Design Targets Faster With AI-Driven Optimization


The implementation flow for semiconductor devices is all about optimizing for power, performance, area (PPA), or some combination of these attributes. The history of this flow in electronic design automation (EDA) tools is all about adding more automation, tightening iterative loops, and reducing the number of iterations. The goal is converging to the PPA targets faster while using fewer resour... » read more

Safety, Security, And Reliability Of AI In Autos


Experts at the Table: Semiconductor Engineering sat down to talk about security, aging, and safety in automotive AI systems, with Geoff Tate, CEO of Flex Logix; Veerbhan Kheterpal, CEO of Quadric; Steve Teig, CEO of Perceive; and Kurt Busch, CEO of Syntiant. What follows are excerpts of that conversation, which was held in front of a live audience at DesignCon. Part one of this discussion is he... » read more

Review of Tools & Techniques for DL Edge Inference


A new technical paper titled "Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review" was published in "Proceedings of the IEEE" by researchers at University of Missouri and Texas Tech University. Abstract: Successful integration of deep neural networks (DNNs) or deep learning (DL) has resulted in breakthroughs in many areas. However, deploying thes... » read more

AI’s Impact In Automobiles Remains Uncertain


Experts at the Table: Semiconductor Engineering sat down to talk about software updates in cars, where AI makes sense, and why there's a growing sense of optimism, with Geoff Tate, CEO of Flex Logix; Veerbhan Kheterpal, CEO of Quadric; Steve Teig, CEO of Perceive; and Kurt Busch, CEO of Syntiant. What follows are excerpts of that conversation, which were held in front of a live audience at Desi... » read more

New Method Improves Machine Learning Models’ Reliability, With Less Computing Resources (MIT, U. of Florida, IBM Watson)


A new technical paper titled "Post-hoc Uncertainty Learning using a Dirichlet Meta-Model" was published (preprint) by researchers at MIT, University of Florida, and MIT-IBM Watson AI Lab (IBM Research). The work demonstrates how to quantify the level of certainty in its predictions, while using less compute resources. “Uncertainty quantification is essential for both developers and users o... » read more

Week In Review: Semiconductor Manufacturing, Test


Chips for consumer devices are down, but the overall chip industry is actively preparing for the next phase of growth. Worldwide silicon wafer shipments, which are an aggregate view of all the various semiconductor segments, hit an all-time high in 2022, increasing 4% to 14,713 million square inches (MSI). Wafer revenue, meanwhile, rose 9.5% to $13.8 billion over the same period, SEMI reported ... » read more

Disaggregating And Extending Operating Systems


The push toward disaggregation and customization in hardware is starting to be mirrored on the software side, where operating systems are becoming smaller and more targeted, supplemented with additional software that can be optimized for different functions. There are two main causes for this shift. The first is rising demand for highly optimized and increasingly heterogeneous designs, which... » read more

Where And Why AI Makes Sense In Cars


Experts at the Table: Semiconductor Engineering sat down to talk about where AI makes sense in automotive and what are the main challenges, with Geoff Tate, CEO of Flex Logix; Veerbhan Kheterpal, CEO of Quadric; Steve Teig, CEO of Perceive; and Kurt Busch, CEO of Syntiant. What follows are excerpts of that conversation, which were held in front of a live audience at DesignCon. Part two of this... » read more

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