Author's Latest Posts


Bridging Machine Learning’s Divide


There is a growing divide between those researching [getkc id="305" comment="machine learning"] (ML) in the cloud and those trying to perform inferencing using limited resources and power budgets. Researchers are using the most cost-effective hardware available to them, which happens to be GPUs filled with floating point arithmetic units. But this is an untenable solution for embedded infere... » read more

Pushing Performance Limits


Trying to squeeze the last bit of performance out of a chip sounds like a good idea, but it increases risk and cost, extends development time, reduced yield, and it may even limit the environments in which the chip can operate. And yet, given the amount of margin added at every step of the development process, it seems obvious that plenty of improvements could be made. "Every design can be o... » read more

DVCon Committee Picks


A typical development team contains more verification engineers than design engineers, and that skew is getting wider. You can expect the trend to increase given that verification teams are now getting loaded with added complexity from heterogeneous multi-core systems, functional safety, neural networks and security-in addition to increasing size. Companies that do not keep up with the lates... » read more

Verification Of Functional Safety


Functional safety is becoming a key part of chip design, and an increasingly problematic one for many engineering teams. Functional safety for electrical and electronic systems is nothing new. It has been an important element of the military, aerospace and medical industries for many years. But the growing importance of functional safety within the automobile industry presents a number o... » read more

Predictions: Methodologies And Tools


Predictions are divided into four posts this year. Part one covered markets and drivers. The second part looked at manufacturing, devices and companies and this part will cover methodologies and tools. In addition, the outlook from EDA executives will be provided in a separate post. Intellectual property As designs get larger, it should be no surprise that the size of the [getkc id="43" kc_... » read more

Predictions: Manufacturing, Devices And Companies


Some predictions are just wishful thinking, but most of these are a lot more thoughtful. They project what needs to happen for various markets or products to become successful. Those far reaching predictions may not fully happen within 2018, but we give everyone the chance to note the progress made towards their predictions at the end of the year. (See Reflection On 2017: Design And EDA and Man... » read more

Machine Learning’s Growing Divide


[getkc id="305" kc_name="Machine learning"] is one of the hottest areas of development, but most of the attention so far has focused on the cloud, algorithms and GPUs. For the semiconductor industry, the real opportunity is in optimizing and packaging solutions into usable forms, such as within the automotive industry or for battery-operated consumer or [getkc id="76" kc_name="IoT"] products. ... » read more

Predictions: Markets And Drivers


Semiconductor Engineering received a record number of predictions this year. Some of them are just wishful thinking, but many are a lot more thoughtful and project what needs to happen for various markets or products to become successful. Those far reaching predictions may not fully happen within 2018, but we give everyone the chance to note the progress made towards their predictions at the en... » read more

Could Liquid IP Lead To Better Chips?


Semiconductor Engineering sat down to discuss the benefits that could come from making IP available as abstract blocks instead of RTL implementations with Mark Johnstone, technical director for Electronic Design Automation for [getentity id="22499" e_name="NXP"] Semiconductor; [getperson id="11489" p_name="Drew Wingard"], CTO at [getentity id="22605" e_name="Sonics"]; Bryan Bowyer, director of ... » read more

Reflection On 2017: Design And EDA


People love to make predictions, and most of the time they have it easy, but at Semiconductor Engineering, we ask them to look back on the predictions they make each year and to assess how close to the mark they were. We see what they missed and what surprised them. Not everyone accepts our offer to grade themselves, but most have this year. (Part one looked at the predictions associated with s... » read more

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