The Week In Review: Manufacturing


Fab tool vendors In the wafer fab equipment (WFE) rankings, Applied Materials was the leader in terms of market share in 2016, according to Gartner. For WFE, Lam Research jumped from fourth place in 2015 to second place in the rankings in 2016, according to Gartner. ASML was third, followed by TEL. Meanwhile, VLSI Research recently released its ranking for both front-end and backend equipment.... » read more

The Week In Review: Design


Tools Mentor unveiled new formal-based technologies in the Questa Verification Solution. It offers formal-based RTL-to-RTL equivalence checking flows optimized for verification of manual low-power clock gating, bug fix and ECO validation, and ISO 26262 safety mechanism verification, which the company says which can reduce verification turnaround time by 10X. The app also offers expanded cloc... » read more

Cloud Computing Chips Changing


An explosion in cloud services is making chip design for the server market more challenging, more diverse, and much more competitive. Unlike datacenter number crunching of the past, the cloud addresses a broad range of applications and data types. So while a server chip architecture may work well for one application, it may not be the optimal choice for another. And the more those tasks beco... » read more

Electric Vehicles Set The Pace


Electric vehicles are leading the charge for innovation in automotive electronics. Companies that invested and embraced the challenge of EVs are besting their less-nimble, less-open-minded engineering cohorts. Semiconductors and embedded computers have been controlling the dashboard, mirrors, seats, heating and cooling for years. But with EVs, engineering teams are starting to tackle tas... » read more

Blog Review: April 12


Cadence's Paul McLellan discusses the legal concerns around autonomous vehicles, emotion-based driver monitoring, and the role of LiDAR, from the CASPA Symposium on Autonomous Driving. The IEEE Design & Test's Magdy Abadir interviews Mentor's Wally Rhines in a discussion ranging from EDA growth and its economics to the increasing complexity of verification. Synopsys' Robert Vamosi exa... » read more

The Week In Review: Manufacturing


Chipmakers China’s IC industry is embarking on a recruitment drive to prepare for the operation of new fabs in 2018, according to TrendForce. “TrendForce’s latest analysis on China’s semiconductor sector reveals that the country’s domestic IC manufacturers are affecting the movement of industry talent worldwide as they continue to aggressively headhunt for senior managers and enginee... » read more

Blog Review: March 22


Cadence's Paul McLellan shares TSMC's plans for 5nm and gate-all-around FET, plus other highlights from last week's Technology Symposium. Mentor's Craig Armenti examines how product development teams can increase efficiency through concurrent schematic design. Synopsys' Jim Ivers warns of the data security and privacy issues posed by a wave of popular connected toys. At Embedded World,... » read more

Big Data On Wheels


By Jeff Dorsch & Ed Sperling All kinds of chips are going into driver-assisted and autonomous cars. On one side are arrays of sensors, which are generating huge amounts of data about everything from lane position and proximity to other cars to unexpected objects in the road. On the other side are the chips required to process that data at blazing speed. As the market for PCs and mobil... » read more

Blog Review: March 1


In a video, Mentor's Wally Rhines discusses the evolution of test methodologies and the forces that will change test priorities. Cadence's Priya Balasubramanian explores memory trends in data servers driven by the Internet's massive need for bandwidth. Synopsys' Aadil Trikha presents a primer on the types of AMBA ACE barrier transactions. ARM's Simon Segars examines the state of IoT de... » read more

Blog Review: Feb. 22


Mentor's Brian Derrick digs into the state of the electric vehicle industry and whether established OEMs will be able to make the changes required to meet new consumer demands. Cadence's Paul McLellan listens in on how to greatly improve the efficiency of machine learning, without using custom hardware, in a talk by Stanford's Kunle Olukotun. Synopsys' Robert Vamosi warns not to overlook ... » read more

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