HBM Issues In AI Systems


All systems face limitations, and as one limitation is removed, another is revealed that had remained hidden. It is highly likely that this game of Whac-A-Mole will play out in AI systems that employ high-bandwidth memory (HBM). Most systems are limited by memory bandwidth. Compute systems in general have maintained an increase in memory interface performance that barely matches the gains in... » read more

Power Management Becomes Top Issue Everywhere


Power management is becoming a bigger challenge across a wide variety of applications, from consumer products such as televisions and set-top-boxes to large data centers, where the cost of cooling server racks to offset the impact of thermal dissipation can be enormous. Several years ago, low-power design was largely relegated to mobile devices that were dependent on a battery. Since then, i... » read more

Chip Design Is Getting Squishy


So many variables, uncertainties and new approaches are in play today across the chip industry today that previous rules are looking rather dated. In the past, a handful of large companies or organizations set the rules for the industry and established an industry roadmap. No such roadmap exists today. And while there are efforts underway to create new roadmaps for different industries, inte... » read more

Chiplet Momentum Rising


The chiplet model is gaining momentum as an alternative to developing monolithic ASIC designs, which are becoming more complex and expensive at each node. Several companies and industry groups are rallying around the chiplet model, including AMD, Intel and TSMC. In addition, there is a new U.S. Department of Defense (DoD) initiative. The goal is to speed up time to market and reduce the cost... » read more

Week In Review: Auto, Security, Pervasive Computing


AI The European Union put out a white paper about artificial intelligence. The United States Chief Technology Officer Michael Kratsios criticized the EU stance on Thursday as clumsy. "We found, what they actually put out yesterday, really, I think, in some ways clumsily attempts to bucket AI-powered technologies as either ‘high-risk’ or ‘not high-risk,’” he said, according to a news ... » read more

Week In Review: Design, Low Power


Dialog Semiconductor will acquire Adesto Technologies for $12.55 per share in cash, or for approximately $500 million enterprise value. Founded in 2006 and based in Santa Clara, CA, Adesto provides application-specific semiconductors, embedded systems, and specialty memory for IoT and industrial IoT applications. “This acquisition substantially enhances our position in the Industrial IoT mark... » read more

EDA In The Cloud


Michael White, director of product marketing for Calibre physical verification at Mentor, a Siemens Business, looks at the growing compute requirements at 7, 5 and 3nm, why the cloud looks increasingly attractive from a security and capacity standpoint, and how the cloud as well as new lithography will affect the cost and complexity of developing new chips. » read more

Supercomputing Performance & Efficiency: An Exploration Of Recent History & Near-Term Projections


Source: Koomey Analytics, in collaboration with AMD Jonathan Koomey*, Zachary Schmidt*, and Samuel Naffziger† * Koomey Analytics; †Advanced Micro Devices, Inc. A new paper analyzes data from the industry site Top 500  to evaluate  the efficiency of supercomputers over the past decade. It also compares how the efficiency and performance of a recently announced supercomputer, schedul... » read more

Week In Review: Design, Low Power


Micron acquired FWDNXT, an AI software and hardware startup. Founded in 2017 and based in Lafayette, Indiana, FWDNXT, specializes in building machine learning deep neural network inference accelerators scalable from edge devices to server-class performance as Xilinx FPGAs, SoCs, or SDK. The company's engine already powers Micron's Deep Learning Accelerator (DLA) technology. “FWDNXT is an a... » read more

Week in Review – IoT, Security, Autos


Products/Services Arm TechCon got under way with a series of announcements. Arm is a founding member of the Autonomous Vehicle Computing Consortium, along with General Motors, Toyota Motor, DENSO, Continental, Bosch, NXP Semiconductors, and Nvidia. More information on the consortium is available here. “Imagine a world where vehicles are able to perceive their dynamically changing environment... » read more

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