Author's Latest Posts


The Role Of EDA In AI


Semiconductor Engineering sat down to discuss the role that EDA has in automating artificial intelligence and machine learning with Doug Letcher, president and CEO of Metrics; Daniel Hansson, CEO of Verifyter; Harry Foster, chief scientist verification for Mentor, a Siemens Business; Larry Melling, product management director for Cadence; Manish Pandey, Synopsys fellow; and Raik Brinkmann, CEO ... » read more

Target: 50% Reduction In Memory Power


Memory consumes about 50% or more of the area and about 50% of the power of an SoC, and those percentages are likely to increase. The problem is that static random access memory (SRAM) has not scaled in accordance with Moore's Law, and that will not change. In addition, with many devices not chasing the latest node and with power becoming an increasing concern, the industry must find ways to... » read more

Optimization Challenges For Safety And Security


Complexity challenges long-held assumptions. In the past, the semiconductor industry thought it understood performance/area tradeoffs, but over time it became clear this is not so simple. Measuring performance is no longer an absolute. Power has many dimensions including peak, average, total energy and heat, and power and function are tied together. Design teams are now dealing with the impl... » read more

From AI Algorithm To Implementation


Semiconductor Engineering sat down to discuss the role that EDA has in automating artificial intelligence and machine learning with Doug Letcher, president and CEO of Metrics; Daniel Hansson, CEO of Verifyter; Harry Foster, chief scientist verification for Mentor, a Siemens Business; Larry Melling, product management director for Cadence; Manish Pandey, Synopsys fellow; and Raik Brinkmann, CEO ... » read more

The Value Of A Model


Increased talk about the Digital Twin has brought models to the forefront of the discussion. What are the right models for particular applications? What is the correct level of abstraction? Where do the models come from and how are they maintained? How does one value a model? The semiconductor industry has been reluctant to create any model that is not directly used in the development path. ... » read more

Digital Twins Deciphered


Ever since Siemens acquired Mentor Graphics in 2016, a new phrase has become more common in the semiconductor industry – the digital twin. Exactly what that is, and what impact it will have on the semiconductor industry, is less clear. In fact, many in the industry are scratching their heads over the term. The initial reaction is that the industry has been creating what are now termed digi... » read more

The Automation Of AI


Semiconductor Engineering sat down to discuss the role that EDA has in automating artificial intelligence and machine learning with Doug Letcher, president and CEO of Metrics; Daniel Hansson, CEO of Verifyter; Harry Foster, chief scientist verification for Mentor, a Siemens Business; Larry Melling, product management director for Cadence; Manish Pandey, Synopsys fellow; and Raik Brinkmann, CEO ... » read more

Using Less Power At The Same Node


Going to the next node has been the most effective way to reduce power, but that is no longer true or desirable for a growing percentage of the semiconductor industry. So the big question now is how to reduce power while maintaining the same node size. After understanding how the power is used, both chip designers and fabs have techniques available to reduce power consumption. Fabs are makin... » read more

Using Analog For AI


If the only tool you have is a hammer, everything looks like a nail. But development of artificial intelligence (AI) applications and the compute platforms for them may be overlooking an alternative technology—analog. The semiconductor industry has a firm understanding of digital electronics and has been very successful making it scale. It is predictable, has good yield, and while every de... » read more

Follow The Data


What does antitrust mean in the age of data? Data is in many cases gathered for free and has huge value to those who can turn that data into information and make decisions based on it. Amazon has become an example in retail because they see more sales data than any other retailer – not just what they sell, but what others choose to sell on their platform. Amazon gets to see all the data an... » read more

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