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

Methodology For Analyzing And Quantifying Design Style Changes And Complexity Using Topological Patterns


In order to maximize yield, IC design companies spend a lot of effort to analyze what types of design styles are needed and used in their layouts (standard cells, macros, routing layers, and so forth). This paper introduces a novel methodology for full chip high performance topological pattern analysis and the applications of this methodology towards analyzing design styles in order to quanti... » read more

Blog Review: Jan. 10


Rambus' Aharon Etengoff explains the Meltdown and Spectre CPU vulnerabilities and why they could negatively affect the semiconductor industry for decades. Cadence's Paul McLellan has an explainer on Meltdown and how it's an unintended consequence of a processor behaving as intended. Mentor's Ruben Ghulghazaryan and Jeff Wilson investigate using machine learning to predict post-deposition ... » read more

Could Liquid IP Lead To Better Chips? (Part 3)


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

Automotive Startup Activity Swelling


According to AngelList, there are at least 6,600 automotive startups, with a $4.6 million average valuation. 475 of those are electric vehicle startups with a $5 million average valuation. Indeed, the electrification of vehicles and move towards autonomous driving is having a huge impact, the likes of which the automotive industry has never seen. This is causing the car manufacturers and Tie... » read more

Reshaping Automotive Design


The entire automotive ecosystem is being reshaped by vehicle electrification, assisted and autonomous driving, and the connectivity needed to make it all work. So far, it's not clear just how smoothly this will all come together. In this redefined world, electronics and software will provide differentiation rather than mechanical engineering and possibly even brand name, creating change on a... » read more

Mixed-Signal Issues Worse At 10/7nm


Despite increasingly difficulty in scaling digital logic to 10/7nm, not all designs at the leading edge are digital. In fact, there are mixed-signal components in designs at almost all nodes down to 10/7nm. This may seem surprising because analog scaling has been an issue since about 90nm, but these are not traditional analog components. Analog IP increasingly includes highly integrated, mix... » read more

Expanding Ecosystem Drives Auto Chip Gold Rush


Semiconductor chips designed to support automotive applications have been around for more than 40 years, which is a very long time in the technology business. These chips have been developed by semiconductor integrated device manufacturers (IDMs), which control every step of the design, manufacturing, test, qualification, reliability and quality aspects of these automotive chips. Special se... » 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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