Chip Design Shifts As Fundamental Laws Run Out Of Steam


Dennard scaling is gone, Amdahl's Law is reaching its limit, and Moore's Law is becoming difficult and expensive to follow, particularly as power and performance benefits diminish. And while none of that has reduced opportunities for much faster, lower-power chips, it has significantly shifted the dynamics for their design and manufacturing. Rather than just different process nodes and half ... » read more

Week In Review: Semiconductor Manufacturing, Test


Fallout from the new U.S. export controls continues. Under new regulations, companies looking to supply Chinese chipmakers with advanced manufacturing equipment (<14nm) must first obtain a license from the U.S. Department of Commerce. In addition, U.S. persons (citizens and permanent residents) are barred from supporting China’s advanced chip development or production without a license. ... » read more

Week In Review: Design, Low Power


Tools and IP Electronic system design revenue hit a record $3.75 billion in the second quarter, according to a report from ESD Alliance, a SEMI Technology Community. That number represents a 17.5% year-over-year increase. Walden C. Rhines, the report’s executive sponsor, said it was the largest such jump in over a decade and that all product categories and geographic regions recorded second ... » read more

Bespoke Silicon Rattles Chip Design Ecosystem


Bespoke silicon developers are shaking up relationships, priorities, and methodologies across the semiconductor industry, creating demand for skills that cross traditional boundaries, and driving new business models that leverage these enormous investments. Bespoke silicon designers today are a rare breed, capable of understanding the unique requirements of a specific domain, as well as a gr... » read more

IC Architectures Shift As OEMs Narrow Their Focus


Diminishing returns from process scaling, coupled with pervasive connectedness and an exponential increase in data, are driving broad changes in how chips are designed, what they're expected to do, and how quickly they're supposed to do it. In the past, tradeoffs between performance, power, and cost were defined mostly by large OEMs within the confines of an industry-wide scaling roadmap. Ch... » read more

DNA Edges Forward As Data Storage Option


At technology conferences back in 2015, scientist David Markowitz raised the idea that DNA could be adapted as a data storage material. The audience response wasn’t all he had hoped for. “They would laugh me off the podium,” Markowitz recalls, but without rancor. Facing skepticism comes with his job at IARPA, the research arm of the U.S. intelligence community. The agency anticipates f... » read more

Technical Paper Roundup: Sept 27


New technical papers added to Semiconductor Engineering’s library this week. [table id=53 /] Semiconductor Engineering is in the process of building this library of research papers. Please send suggestions (via comments section below) for what else you’d like us to incorporate. If you have research papers you are trying to promote, we will review them to see if they are a good fit f... » read more

Week In Review: Manufacturing, Test


On Sunday, a 6.8-magnitude earthquake struck the southeast region of Taiwan, causing devastation. TSMC officials reported “no known significant impact for now.” Market research firm TrendForce arrived at a similar conclusion based on its analysis of individual fabs. The Biden administration announced appointment of the leadership team charged with implementing the US CHIPS and Science Ac... » read more

10 Questions: Handel Jones


Handel Jones, CEO of International Business Strategies and author of a new book, "When AI Rules The World," sat down with Semiconductor Engineering to talk about the growth and impact of AI. What follows are excerpts of that conversation. SE: What do you see as the impact of AI on semiconductors? Jones: The fact that you have a 5G smart phone is because of AI. Steve Jobs changed the smart... » read more

FP8: Cross-Industry Hardware Specification For AI Training And Inference (Arm, Intel, Nvidia)


Arm, Intel, and Nvidia proposed a specification for an 8-bit floating point (FP8) format that could provide a common interchangeable format that works for both AI training and inference and allow AI models to operate and perform consistently across hardware platforms. Find the technical paper titled " FP8 Formats For Deep Learning" here. Published Sept 2022. Abstract: "FP8 is a natural p... » read more

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