New Neural Processors Address Emerging Neural Networks


It’s been ten years since AlexNet, a deep learning convolutional neural network (CNN) model running on GPUs, displaced more traditional vision processing algorithms to win the ImageNet Large Scale Visual Recognition Competition (ILSVRC). AlexNet, and its successors, provided significant improvements in object classification accuracy at the cost of intense computational complexity and large da... » read more

A New World Of Innovation


There has been a fundamental shift in product innovation. Not merely a revolution in materials or design, but a revolution of possibilities. Advanced software technologies such as artificial intelligence have given us a peek of what could be, enabled by methods to deliver the speed that turn worldchanging ideas into reality. We’ve now reached an event horizon — one where semiconductors and ... » read more

Blog Review: May 4


In a podcast, Arm's Geof Wheelwright chats with Steve Furber of the University of Manchester and Christian Mayr of Technische Universität Dresden about spiking neural networks and the SpiNNaker project to build a platform for realistic real-time models of brain functions. Synopsys' Licinio Sousa checks out how the MIPI protocol enables the connectivity needed for sensor fusion and increasin... » read more

Week In Review: Manufacturing, Test


It's earnings season, and despite widespread reports of capacity issues and shortages, the chip industry turned in relatively solid results across the board. Intel exceeded January guidance for Q1, reporting first-quarter GAAP revenue of $18.4 billion, a 7% year-over-year decrease, and a 1% decrease year-over-year on non-GAAP basis. Record revenue was achieved in the Network and Edge Group, ... » read more

Week In Review: Design, Low Power


Arm unveiled the Arm Cortex-M85 processor and expanded Arm Virtual Hardware to more platforms, including 3rd party devices. The Cortex-M85 is the highest performance Cortex-M processor to date, with 30% scalar performance uplift compared to the Cortex-M7, technology to support endpoint ML and DSP workloads, and includes Pointer Authentication and Branch Target Identification (PACBTI), a new arc... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive, mobility DENSO Corporation and UMC’s Japanese subsidiary United Semiconductor Japan Co., Ltd. (USJC) are collaborating on power semiconductors production for the automotive market at USJC’s 300mm fab. USJC will install an insulated gate bipolar transistor (IGBT) line at its wafer fab. Renesas Electronics uncorked an integrated automotive ECU Virtualization Platform for devel... » read more

Choosing Which Tasks To Optimize In Chips


The optimization of one or more tasks is an important aspect of every SoC created, but with so many options now on the table it is often unclear which is best. Just a few years ago, most people were happy to buy processors from the likes of Intel, AMD and Nvidia, and IP cores from Arm. Some even wanted the extensibility that came from IP cores like Tensilica and ARC. Then, in 2018, John Henn... » read more

The Challenges Of Incremental Verification


Verification consumes more time and resources than design, and yet little headway is being made to optimize it. The reasons are complex, and there are more questions than there are answers. For example, what is the minimum verification required to gain confidence in a design change? How can you minimize the cost of finding out that the change was bad, or that it had unintended consequences? ... » read more

Big Changes In Embedded Software


Every good hardware or software design starts with a structured approach throughout the design cycle, but as chip architectures and applications begin focusing on specific domains and include some version of AI, that structure is becoming more difficult to define. Embedded software, which in the past was written for very narrow functions with a minimal footprint, is increasingly getting blended... » read more

Continuous Integration And Deployment Flows With Virtual Prototypes


Not so long ago, embedded software developers huddled side by side in chilly bring-up labs, integrating and testing their code on physical prototypes of the final systems. Beyond the inconvenience, there were two major issues with this approach. The cost of replicating prototypes across a large software team was considerable, and these systems had to be maintained and managed. It became common ... » read more

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