Chip Industry In Rapid Transition


Wally Rhines, CEO Emeritus at Mentor, a Siemens Business, sat down with Semiconductor Engineering to talk about global economics, AI, the growing emphasis on customization, and the impact of security and higher abstraction levels. What follows are excerpts of that conversation. SE: Where do you see the biggest changes happening across the chip industry? Rhines: 2018 was a hot year for fab... » read more

Lies, Damn Lies, And TOPS/Watt


There are almost a dozen vendors promoting inferencing IP, but none of them gives even a ResNet-50 benchmark. The only information they state typically is TOPS (Tera-Operations/Second) and TOPS/Watt. These two indicators of performance and power efficiency are almost useless by themselves. So what, exactly, does X TOPS really tell you about performance for your application? When a vendor ... » read more

What’s the Right Path For Scaling?


The growing challenges of traditional chip scaling at advanced nodes are prompting the industry to take a harder look at different options for future devices. Scaling is still on the list, with the industry laying plans for 5nm and beyond. But less conventional approaches are becoming more viable and gaining traction, as well, including advanced packaging and in-memory computing. Some option... » read more

Fundamental Shifts In 2018


What surprised the industry in 2018?  While business has been strong, markets are changing, product categories are shifting and clouds are forming on the horizon. As 2018 comes to a close, most companies are pretty happy with the way everything turned out. Business has been booming, new product categories developing, and profits are meeting or beating market expectations. "2018 was indeed a... » read more

The DNA of an Artificial Intelligence SoC


Over the past decade, a few advancements have made artificial intelligence (AI) one of the most exciting technologies of our lifetime. In 2012, Geoffrey Everest Hinton demonstrated his generalized back propagation neural network algorithm in the Imagenet challenge, which revolutionized the field of computer vision. However, the math was developed years prior to 2012, and it was the available m... » read more

Fab Equipment Challenges For 2019


After a period of record growth, the semiconductor equipment industry is facing a slowdown in 2019, in addition to several technical challenges that still need to be resolved. Generally, the equipment industry saw enormous demand in 2017, and the momentum extended into the first part of 2018. But then the memory market began deteriorating in the middle of this year, causing both DRAM and NAND ... » read more

Week in Review: IoT, Security, Auto


Internet of Things Arm made five 2019 predictions for the Internet of Things. They are: The intelligent home goes mainstream; personalized delivery options; improved health-care service; smart cities seek to improve revenue streams and citizen engagement; and smart buildings use more technology for efficiencies. The company also commissioned a worldwide survey of 2,000 consumers, conducted by ... » read more

Blog Review: Dec. 5


Mentor's Harry Foster digs into verification effectiveness in FPGA projects and what it means that so many non-trivial bugs escape into production. Cadence's Paul McLellan checks out an effort to integrate photonics with CMOS and find the tradeoffs in three different approaches, plus the view of photonics as applied to military aircraft. Synopsys' Richard Solomon shares some highlights on... » read more

Week in Review: IoT, Security, Auto


Internet of Things Lowe’s, the home improvement retailer, is giving up on the smart home market. The company is putting its Iris Smart Home business up for sale as part of a reorganization. The retailer made a big splash at CES 2015 with its Innovation Lab offerings, which included retail service robots and the Holoroom “home improvement simulator.” The Iris product line includes multipl... » read more

Blog Review: Nov. 28


Arm's Bo Eyole contends that the next generation of machine learning algorithms will have to deal with a vast amount of messy, unlabeled data and takes a look at some of the techniques, such as reinforcement learning and evolutionary computing, now being explored. Cadence's Paul McLellan considers how IP systems are increasingly limited by memory bandwidth rather than compute power and where... » read more

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