How To Automate A Parking Lot


By Maen Suleiman and Gorka Garcia Applications at the edge of the network require special technologies, such as efficient packet processing, machine learning and connectivity to the cloud. The edge crosses a multitude of markets, including small business, industrial and enterprise, and it can include everything from devices you might expect to find at the edge to unusual concepts such as... » read more

EDA Cloud Adoption Hits Speed Bumps


If moving semiconductor design to the Cloud was easy and beneficial, everyone would be doing it. But so far, few have done more than dip a toe. The level of difficulty associated with migrating to the Cloud varies, depending upon who you talk to. The reality is that not everyone makes it as easy as it could be, or is not willing to put the necessary effort into making it easier. There is cer... » read more

The Power Of Ecosystems At Arm TechCon 2018


I have long been fascinated by the workings of ecosystems. Last week’s Arm TechCon in San Jose was a textbook example of how ecosystems work, overlap and how the electronics development work is indeed like a village—it takes many players to make things happen to enable end users to receive the latest gadgets like phones, fitness trackers, electronic watches, etc. The game of electronic ecos... » read more

Week In Review: Design, Low Power


Mirabilis Design debuted an AI-driven tool for performance analysis and architecture exploration of SoCs and embedded systems. VisualSim AI Processor Generator creates pipeline-accurate models that have port integration with standard buses and memories, which is used to compare different processor families, optimize the specification and identify system bottlenecks. The generated model supports... » read more

Cloud Drives Changes In Network Chip Architectures


Cloud data centers have changed the networking topology and how data moves throughout a large data center, prompting significant changes in the architecture of the chips used to route that data and raising a whole new set of design challenges. Cloud computing has emerged as the fast growing segment of the data center market. In fact, it is expected to grow three-fold in the next few years, a... » read more

Is Cloud Computing Suitable for Chip Design?


Is semiconductor design being left behind in a cloud-dominated world? Finance, CRM, office applications and many other sectors have made the switch to a cloud-based computing environment, but the EDA industry and its users have hardly started the migration. Are EDA needs and concerns that different from everyone else? We are starting to see announcements from EDA companies, but few cheerleaders... » read more

Accelerating SoC Time To Market With Cloud-Based Verification


This paper discusses the growing use of cloud and hybrid cloud environments among semiconductor design and verification teams. The schedule and efficiency benefits seen by verification teams using cloud are specifically highlighted, due to the considerable compute requirements associated with verification of advanced node SoCs, and the significant impact verification has on the overall SoC proj... » read more

Using AI In Chip Manufacturing


David Fried, CTO at Coventor, a Lam Research Company, sat down with Semiconductor Engineering to talk about how AI and Big Data techniques will be used to improve yield and quality in chip manufacturing. What follows are excerpts of that conversation. SE: We used to think about manufacturing data in terms of outliers, but as tolerances become tighter at each new node that data may need to b... » read more

Pace Quickens As Machine Learning Moves To The Edge


Artificial intelligence applications are rapidly changing the way society engages with technology. It wasn’t too long ago that your smart phone couldn’t recognize your face or your thumbprint. It also wasn’t too long ago that Alexa wasn’t helping you navigate your day so easily. And not too long ago, odds are, you weren’t developing an application or device that had AI/ML as its ce... » read more

Scalable, Cloud-Ready IC Validator Solution For Advanced DRC Nodes


As we move to a data-centric world, semiconductor companies across the globe are working at a furious pace to develop and manufacture Artificial Intelligent [AI] chips. AI is all about an algorithm that mimics a human’s ability to learn and decide. For example, AI can be used to interpret and understand an image that helps a doctor make a better diagnosis for a patient. This requires chips to... » read more

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