The Increasingly Uneven Race To 3nm/2nm


Several chipmakers and fabless design houses are racing against each other to develop processes and chips at the next logic nodes in 3nm and 2nm, but putting these technologies into mass production is proving both expensive and difficult. It's also beginning to raise questions about just how quickly those new nodes will be needed and why. Migrating to the next nodes does boost performance an... » read more

Week In Review: Design, Low Power


Siemens will acquire Supplyframe, a supply chain intelligence, sourcing, and marketplace platform for the electronics industry, for $700 million. The company operates on a software-as-a-service model and will serve as the nucleus of Siemens’ digital marketplace strategy, according to Cedrik Neike, member of the Managing Board of Siemens AG. “Supplyframe’s ecosystem and marketplace intelli... » read more

Week In Review: Auto, Security, Pervasive Computing


Pervasive computing — IoT, edge, cloud, data center, and back Combining AI with IoT not only gives another acronym AIoT, or Artificial Intelligence of Things, but it puts AI systems on the edge. Infineon Technologies has released its ModusToolbox Machine Learning to make it possible to run deep learning-based workloads on Infineon’s PSoC microcontrollers. The toolbox has middleware, softwa... » read more

Advanced Packaging’s Next Wave


Packaging houses are readying the next wave of advanced packages, enabling new system-level chip designs for a range of applications. These advanced packages involve a range of technologies, such as 2.5D/3D, chiplets, fan-out and system-in-package (SiP). Each of these, in turn, offers an array of options for assembling and integrating complex dies in an advanced package, providing chip custo... » read more

Blog Review: May 19


Cadence's Paul McLellan checks out a project from Intel and DARPA to combine the eASIC structured ASIC technology with data interface chiplets and enhanced security protection, with manufacturing in the U.S. In a podcast, Siemens EDA's Ellie Burns and Michael Fingeroff discuss the gap between what the best AI applications can perform today versus the human brain and the challenges that hardw... » read more

11 Ways To Reduce AI Energy Consumption


As the machine-learning industry evolves, the focus has expanded from merely solving the problem to solving the problem better. “Better” often has meant accuracy or speed, but as data-center energy budgets explode and machine learning moves to the edge, energy consumption has taken its place alongside accuracy and speed as a critical issue. There are a number of approaches to neural netw... » read more

HBM Takes On A Much Bigger Role


High-bandwidth memory is getting faster and showing up in more designs, but this stacked DRAM technology may play a much bigger role as a gateway for both chiplet-based SoCs and true 3D designs. HBM increasingly is being viewed as a way of pushing heterogenous distributed processing to a completely different level. Once viewed as an expensive technology that only could be utilized in the hig... » read more

Is AI Good Or Bad For The Planet?


Will artificial intelligence save or sink planet earth? We’re surrounded by AI. When you use the internet, take a photo, use predictive text, or watch TV, you are interacting with AI. And we are still in the early stages of this revolution in technology and our lives. But AI can require large amounts of power. Researchers have documented the astounding amount of power required to train ... » read more

Mapping Heat Across A System


Thermal issues are becoming more difficult to resolve as chip features get smaller and systems get faster and more complex. They now require the integration of technologies from both the design and manufacturing flows, making design for power and heat a much broader problem. This is evident with the evolution of a smart phone. Phones sold 10 years ago were very different devices. Functionali... » read more

Blog Review: May 12


Cadence's Claire Ying points to major changes in PCIe 6.0 as PAM4 signaling replaces NRZ to help double bandwidth, Forward Error Correction helps maintain data integrity, and various improvements are made to power consumption. Synopsys' Samantha Beaumont argues that automotive sensors are a major potential attack point and addresses some of the key areas of sensor vulnerability and the chall... » read more

← Older posts Newer posts →