Semiconductor intellectual property (IP) plays a critical role in modern system-on-chip (SoC) designs. That’s not surprising given that modern SoCs are highly complex designs that leverage already proven building blocks such as processors, interfaces, foundational IP, on-chip bus fabrics, security IP, and others. This… Read More
During the GOMACTech conference held in South Carolina last week I had a Zoom call with Deepak Shankar, Founder and VP Technology at Mirabilis Design Inc. to ask questions and view a live demo of VisualSim – a modeling, simulation, exploration and collaborative platform to develop electronics and SoCs. What makes VisualSim so … Read More
Quadric Inc. is the leading licensor of general-purpose neural processor IP (GPNPU) that runs both machine learning inference workloads and classic DSP and control algorithms. Quadric’s unified hardware and software architecture is optimized for on-device ML inference. I have know Steve Roddy for many years, he is a high … Read More
The surge in Edge AI applications has propelled the need for architectures that balance performance, power efficiency, and flexibility. Architectural choices play a pivotal role in determining the success of AI processing at the edge, with trade-offs often necessary to meet the unique demands of diverse workloads. There are… Read More
I wrote previously that the debate over which CPU rules the world (Arm versus RISC-V) somewhat misses the forest for the trees in modern systems. This is nowhere more obvious that in intelligent audio and vision: smart doorbells, speakers, voice activated remotes, intelligent earbuds, automotive collision avoidance, self-parking,… Read More
When considering SoC architectures it is easy to become trapped in simple narratives. These assume the center of compute revolves around a central core or core cluster, typically Arm, more recently perhaps a RISC-V option. Throw in an accelerator or two and the rest is detail. But for today’s competitive products that view is a … Read More
Support for AI at the edge has prompted a good deal of innovation in accelerators, initially in CNNs, evolving to DNNs and RNNs (convolutional neural nets, deep neural nets, and recurrent neural nets). Most recently, the transformer technology behind the craze in large language models is proving to have important relevance at… Read More
Artificial Intelligence (AI) has witnessed explosive growth in applications across various industries, ranging from autonomous vehicles and natural language processing to computer vision and robotics. The AI embedded semiconductor market is projected to reach $800 billion by year 2030. Compare this with just $48 billion… Read More
While sensor-based control and activation systems have been around for several decades, the development and integration of sensors into control systems have significantly evolved over time. Early sensor-based control systems utilized basic sensing elements like switches, potentiometers and pressure sensors and were … Read More
The need for speed is a never-ending story when it comes to data communications. Currently there are a number of trends such as cloud computing, artificial intelligence, Internet of Things (IoT), multimedia applications and consumer expectations driving this demand. All of these trends are accelerating the growth in high-performance-computing… Read More
