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Brian Bailey

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Brian Bailey is Technology Editor/EDA for Semiconductor Engineering.

Author's Latest Posts

Raising IP Integration Up A Level
By Brian Bailey - 27 Oct, 2022 - Comments: 0

An increase in the number and complexity of IP blocks, coupled with changing architectures and design concerns, are driving up the need for new tools that can enable, automate, and optimize integration in advanced chips and packages. Power, security, verification and a host of other issues are cross-cutting concerns, and they make pure hierarchical approaches difficult. Adding to future comp... » read more

Bug-Free Designs
By Brian Bailey - 27 Oct, 2022 - Comments: 0

It is possible in theory to create a design with no bugs, but it's impractical, unnecessary, and extremely difficult to prove for bugs you care about. The problem is intractable because the potential state space is enormous for any practical design. The industry has devised ways to handle this complexity, but each has limitations, makes assumptions, and employs techniques that abstract the p... » read more

Foundational Changes In Chip Architectures
By Brian Bailey - 13 Oct, 2022 - Comments: 5

We take many things in the semiconductor world for granted, but what if some of the decisions made decades ago are no longer viable or optimal? We saw a small example with finFETs, where the planar transistor would no longer scale. Today we are facing several bigger disruptions that will have much larger ripple effects. Technology often progresses in a linear fashion. Each step provides incr... » read more

Verification Methodologies Evolve, But Slowly
By Brian Bailey - 29 Sep, 2022 - Comments: 0

Semiconductor Engineering sat down to discuss digital twins and what is required to develop and verify new chips across a variety of industries, such as automotive and aerospace, with Larry Lapides, vice president of sales for Imperas Software; Mike Thompson, director of engineering for the verification task group at OpenHW; Paul Graykowski, technical marketing manager for Arteris IP; Shantanu ... » read more

Toward Domain-Specific EDA
By Brian Bailey - 26 Sep, 2022 - Comments: 0

More companies appear to be creating custom EDA tools, but it is not clear if this trend is accelerating and what it means for the mainstream EDA industry. Whenever there is change, there is opportunity. Change can come from new abstractions, new options for optimization, or new limitations that are imposed on a tool or flow. For example, the slowing of Moore's Law means that sufficient prog... » read more

The End Of Closed EDA
By Brian Bailey - 22 Sep, 2022 - Comments: 0

In a previous life, I was a technologist for a large EDA company. One of my primary responsibilities in that position involved talking to a lot of customers to identify their pain points, and what new tools we could develop that would ease their problems. You would think that would be an easy task, but it certainly was not the case. For example, if you ask a developer what their biggest frus... » read more

Can ML Help Verification? Maybe
By Brian Bailey - 22 Sep, 2022 - Comments: 0

Functional verification produces an enormous amount of data that could be used to train a machine learning system, but it's not always clear which data is useful or whether it can help. The challenge with ML is understanding when and where to use it, and how to integrate it with other tools and approaches. With a big enough hammer, it is tempting to call everything a nail, and just throwing ... » read more

How Mature Are Verification Methodologies?
By Brian Bailey - 14 Sep, 2022 - Comments: 0

Semiconductor Engineering sat down to discuss differences between hardware and software verification and changes and challenges facing the chip industry, with Larry Lapides, vice president of sales for Imperas Software; Mike Thompson, director of engineering for the verification task group at OpenHW; Paul Graykowski, technical marketing manager for Arteris IP; Shantanu Ganguly, vice president o... » read more

Rethinking Machine Learning For Power
By Brian Bailey - 13 Sep, 2022 - Comments: 0

The power consumed by machine learning is exploding, and while advances are being made in reducing the power consumed by them, model sizes and training sets are increasing even faster. Even with the introduction of fabrication technology advances, specialized architectures, and the application of optimization techniques, the trend is disturbing. Couple that with the explosion in edge devices... » read more

The Next Incarnation Of EDA
By Brian Bailey - 25 Aug, 2022 - Comments: 0

The EDA industry has incrementally addressed issues as they arise in the design of electronic systems, but is there about to be a disruption? Academia is certainly seeing that as a possibility, but not all of them see it happening for the same reason. The academic community questioned the future of EDA at the recent Design Automation Conference. Rather than EDA as we know it going away, they... » read more

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