AI Architectures Must Change


Using existing architectures for solving machine learning and artificial intelligence problems is becoming impractical. The total energy consumed by AI is rising significantly, and CPUs and GPUs increasingly are looking like the wrong tools for the job. Several roundtables have concluded the best opportunity for significant change happens when there is no legacy IP. Most designs have evolved... » read more

Chip Aging Becomes Design Problem


Chip aging is a growing problem at advanced nodes, but so far most design teams have not had to deal with it. That will change significantly as new reliability requirements roll out across markets such as automotive, which require a complete analysis of factors that affect aging. Understanding the underlying physics is critical, because it can lead to unexpected results and vulnerabilities. ... » read more

More Processing Everywhere


Simon Segars, CEO of Arm Holdings, sat down with Semiconductor Engineering to discuss security, power, the IoT, a big push at the edge, and the rise of 5G and China. What follows are excerpts of that conversation. SE: Are we making any progress in security? And even if Arm makes progress, does it matter, given there are so many things connected together? Segars: It feels like we’re maki... » read more

Process Variation Not A Solved Issue


Semiconductor Engineering sat down to talk about process variation in advanced nodes, and how design teams are coping, with Christoph Sohrmann, a member of the Advanced Physical Verification group in Fraunhofer’s Division of Engineering of Adaptive Systems (EAS); Juan Rey, vice president of engineering at Mentor, A Siemens Business; and Stephen Crosher, CEO of Moortec Semiconductor. What foll... » read more

On-Chip Monitoring Of FinFETs


Stephen Crosher, CEO of Moortec, sat down with Semiconductor Engineering to discuss on-chip monitoring and its impact on power, security and reliability, including predictive maintenance. What follows are excerpts of that conversation. SE: What new problems are you seeing in design? Crosher: There are challenges emerging for companies working on advanced nodes, including scaling and trans... » read more

Data Center Power Poised To Rise


The big power-saving effort that kept U.S. data-center power consumption low for the past decade may not keep the lid on much longer. Faced with the possibility that data centers would consume a disastrously large percentage of the world's power supply, data center owners, and players in the computer, semiconductor, power and cooling industries ramped up effort to improve the efficiency of e... » read more

5nm Design Progress


Activity surrounding the 5nm manufacturing process node is quickly ramping, creating a better picture of the myriad and increasingly complex design issues that must be overcome. Progress at each new node after 28nm has required an increasingly tight partnership between the foundries, which are developing new processes and rule decks, along with EDA and IP vendors, which are adding tools, met... » read more

Architecting For AI


Semiconductor Engineering sat down to talk about what is needed today to enable artificial intelligence training and inferencing with Manoj Roge, vice president, strategic planning at Achronix; Ty Garibay, CTO at Arteris IP; Chris Rowen, CEO of Babblelabs; David White, distinguished engineer at Cadence; Cheng Wang, senior VP engineering at Flex Logix; and Raik Brinkmann, president and CEO of O... » read more

Five DAC Keynotes


The ending of Moore's Law may be about to create a new golden age for design, especially one fueled by artificial intelligence and machine learning. But design will become task-, application- and domain-specific, and will require that we think about the lifecycle of the products in a different way. In the future, we also will have to design for augmentation of experience, not just automation... » read more

Defining Edge Memory Requirements


Defining edge computing memory requirements is a growing problem for chipmakers vying for a piece of this market, because it varies by platform, by application, and even by use case. Edge computing plays a role in artificial intelligence, automotive, IoT, data centers, as well as wearables, and each has significantly different memory requirements. So it's important to have memory requirement... » read more

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