Qualcomm is a technology titan standing astride both the automotive and wireless industries with 10’s of thousands of patents, 340M automotive-grade chipsets shipped and a leading position in the connected car industry. So it is fascinating to find executives at the company almost totally tongue-tied of late when it … Read More
Automotive Functional Safety (FuSa) ChallengesModern vehicles have become quite sophisticated, like a…Read More
Scaling AI Infrastructure with Next-Gen InterconnectsAt the recent IPSoC Conference in Silicon Valley,…Read More
Siemens Describes its System-Level Prototyping and Planning CockpitWe all know semiconductor design is getting harder.…Read More
Recent AI Advances Underline Need to Futureproof Automotive AIThe world of AI algorithms continues to advance…Read More
Cost-Effective and Scalable: A Smarter Choice for RISC-V DevelopmentThe RISC-V ecosystem is witnessing remarkable growth, driven…Read More
Mobileye’s Revenge
Tesla Motors CEO Elon Musk has famously dismissed hydrogen fuel (“fool”) cells and LiDAR and even parted company with Mobileye over automated driving strategy. Now it appears that Mobileye has gotten a measure of revenge with broad implications for the automotive industry, Tesla Motors and automated driving.… Read More
China to become largest semiconductor producer
China has long been the largest market for semiconductors, accounting for over 50% of the global market for the last five years. China is now on track to become the largest semiconductor manufacturer in the next few years. The chart below shows China’s integrated circuit (IC) industry from 2010 to 2016, according to the China Semiconductor… Read More
ARMing AI/ML
There is huge momentum building behind AI, machine learning (ML) and deep learning; unsurprisingly ARM has been busy preparing their own contribution to this space. They announced this week a new multi-core micro-architecture called DynamIQ, covering all Cortex-A processors, whose purpose is in their words, “to redefine … Read More
How to Design a Custom SoC with Analog, webinar from ARM and Tanner EDA
Leading edge SoC designs can contain billions of transistors, cost over $10M to design, and take over 18 months to deliver, but not all SoCs require that much complexity, cost and time. In fact, there is a growing class of SoC designs that integrate the popular ARM Cortex-M0 processor along with analog blocks that work with sensors… Read More
Top 10 Updates from the TSMC Technology Symposium, Part II
An earlier article described some of the technical and business highlights from the recent TSMC Symposium in Santa Clara (link). This article continues that discussion, with the top five updates.… Read More
Samsung Should Just Buy eSilicon Already!
As you all know I’m a big fan of the ASIC business dating back to the start of the fabless semiconductor transformation where anybody could send a design spec to an ASIC company and get a chip back. The ASIC business model also started the smart phone revolution when Samsung built the first Apple SoCs for the iPhones and iPads.
Today … Read More
Top 10 Updates from the TSMC Technology Symposium, Part I
Last week, TSMC held their 23rd annual technical symposium in Santa Clara. In the Fall, TSMC conducts the OIP updates from EDA/IP partners and customers. The theme of the Spring symposium is solely on TSMC’s technology development status and the future roadmap. Indirectly, the presentations also provide insight into … Read More
SRAM Optimization Saves Power on SOC’s and in Systems
Mobile device designers face the dilemma of reducing power and at the same time maintaining or increasing performance. Consumers will not tolerate increased battery life at the expense of performance. If it were otherwise, designers could simply dial back clock rates. Without this simple cure, the best way to reduce power for… Read More
Quantum Resistance on the Edge
I’ve written recently about the trend to move more technology to the edge, to mobile devices certainly but also to IoT edge nodes. This is based particularly on latency, communications access and power considerations. One example is the move of deep reasoning apps to the edge to handle local image and voice recognition which would… Read More
Intel Foundry Delivers!