IoT Myth Busting


The [getkc id="76" comment="Internet of Things"] (IoT) means many things to a large number of people, but one thing is clear—every discussion involving the IoT invariably includes some rather dramatic growth predictions for how many connected devices will be sold and who will be the primary beneficiaries. While that data helps spice up speeches, and typically gets people to read and quote ... » read more

Transistor Aging Intensifies At 10/7nm And Below


Transistor aging and reliability are becoming much more troublesome for design teams at 10nm and below. Concepts like ‘infant mortality’ and 'bathtub curves' are not new to semiconductor design, but they largely dropped out of sight as methodologies and EDA tools improved. To get past infant mortality, a burn-in process would be done, particularly for memories. And for reliability, which... » read more

Implementing High-Density-Advanced Packaging for OSATs And Foundries


HDAP design and verification require cooperation and collaboration between design houses, OSATs, foundries, and EDA vendors. By using common tools that have the integration and functionality needed to operate in both the IC and packaging domains and by developing and deploying process optimized design-kits such as ADK’s and PDKs, OSATs, foundries, and their customers can achieve design, fabri... » read more

Blog Review: July 12


Mentor's Puneet Sinha points to five big engineering stumbling blocks in building commercially-viable autonomous vehicles. Synopsys' Anders Nordstrom checks out some exotic applications of formal verification. Cadence's Paul McLellan listens in on a talk by Cadence's Michelle (Xuehong) Mao on how the company's deep neural network, CactusNet, works for optimizing network architecture. S... » read more

Test at “West”


As you wander through the North Hall of Moscone Center this week, you may notice that some of the big names in automated test equipment are not on the SEMICON West show floor this year. Advantest America has a booth, but the same cannot be said of Teradyne or Xcerra. Some of the bigger names in test and measurement instruments won’t be found exhibiting at SEMICON West, either – such as Keys... » read more

Get To Market Fast And First With Reusable Circuit Blocks


Reusable circuit blocks enable design teams to build new products quickly, but how do you manage a process that spans both library and design? How do you know which elements need to be managed? This paper describes techniques for leveraging certified circuits and providing continuous circuit improvement, best practices for using reusable circuit blocks, and how these blocks can be used to track... » read more

EDA, IP Growth Hits Double Digits


The cloud, advanced packaging and AI/machine learning pushed up EDA and IP revenue to the highest Q1 growth level since 2011. Revenue was up 10.5% year over year to $2.168 billion, compared with $1.962 billion in Q1 2016, according to just-released numbers from the Electronic System Design (ESD) Alliance. The four-quarter moving average increased by 10.6%. The two largest regions, the Americ... » read more

Industrial IoT: Where Is Silicon Valley?


Industry 4.0, Smart Factory 1.0, and Internet of Manufacturing are industry initiatives aimed at accelerating the Industrial IoT. With current market forecast exceeding $40 billion and projected to approach $100 billion by 2020, IIoT has everyone’s attention. Well, almost everyone. Turning volumes of factory data into actionable information from the supply chain, to the floor, to operations, ... » read more

Rethinking Car Design


The automotive industry is undergoing sweeping changes in both technology and business, and functional safety increasingly cuts across both of them. Every safety-critical industry has one or more functional safety standards, whether that is manufacturing, avionics or automotive. In automotive, it's a combination of [gettech id="31076" comment="ISO 26262"] and various ASIL levels, which are a... » read more

The Darker Side Of Machine Learning


Machine learning can be used for many purposes, but not all of them are good—or intentional. While much of the work underway is focused on the development of machine learning algorithms, how to train these systems and how to make them run faster and do more, there is a darker side to this technology. Some of that involves groups looking at what else machine learning can be used for. So... » read more

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