Week In Review: Design, Low Power


Tools & IP Cadence unveiled deep neural-network accelerator (DNA) AI processor IP, Tensilica DNA 100, targeted at on-device neural network inference applications. The processor is scalable from 0.5 TMAC (Tera multiply-accumulate) to 12 TMACs, or 100s of TMACs with multiple processors stacked, and the company claims it delivers up to 4.7X better performance and up to 2.3X more performance p... » read more

Blog Review: Sept. 19


Applied Materials' David Thompson shares the new DARPA program that is focused on using correlated electrons to develop a new type of switch with quantum effects, potentially leading to unprecedented switching speeds. Mentor's Joe Hupcey III argues that for the most effective formal analysis, assertions should be as simple as possible and shares some tips on decomposing big assertions. Ca... » read more

Week In Review: Design, Low Power


M&A Intel acquired NetSpeed Systems, a network-on-a-chip and interconnect fabric IP and tool provider. Founded in 2011, the San Jose-based company recently put a focus on interconnects designed with AI applications in mind. Intel has cast the acquisition as a way to tie a number of its other technologies together. The team will join Intel's Silicon Engineering Group. Intel has been a NetSp... » read more

Blog Review: Sept. 12


Cadence's Paul McLellan checks out the impact the Meltdown, Spectre, and Foreshadow vulnerabilities will have on future processor design with an overview of speculative execution and why it's important to current architectures. Mentor's Matthew Ballance suggests some ways to find existing information and descriptions that can be used to jump-start the creation of portable stimulus models. ... » read more

System Bits: Sept. 11


Researchers ‘teleport’ a quantum gate In a key architectural step for building modular quantum computers, Yale University researchers have demonstrated the teleportation of a quantum gate between two qubits, on demand. [caption id="attachment_24137942" align="alignleft" width="300"] A network overview of the modular quantum architecture demonstrated in the new study.Source: Yale Universit... » read more

It’s All About Staying Ahead Of The Test Challenges Curve


Since the early days when semiconductor devices contained a mere handful of gates, the manufacturing test world has been focused on how to detect the greatest number of potential defects in the shortest amount of time. This fundamental goal has not changed over the years and continues at 5nm and beyond. What has dramatically changed over the years, however, is the variety of techniques used ... » read more

Week In Review: Design, Low Power


Cadence teamed up with nine PCB manufacturing partners on an ecosystem to provide easier access to partners' technology files to improve PCB manufacturability. The program, DesignTrue DFM, allows for automated import of a manufacturer's latest DFM rules as well as rule checking in real time as part of the PCB layout process. The nine initial PCB manufactures supporting the program are: Bay Area... » read more

Blog Review: Sept. 5


Synopsys' Taylor Armerding looks at a case of exploding costs – up to $17 million – when the city of Atlanta, Georgia fell victim to the SamSam ransomware, plus the lessons other cities can take to improve their security. Cadence's Paul McLellan traces how a landmark moment in object recognition, the ImageNet database, has spurred increasingly better object recognition algorithms for alm... » read more

Processing In Memory


Adding processing directly into memory is getting a serious look, particularly for applications where the volume of data is so large that moving it back and forth between various memories and processors requires too much energy and time. The idea of inserting processors into memory has cropped up intermittently over the past decade as a possible future direction, but it was dismissed as an e... » read more

System Bits: Sept. 4


Quantum material is both conductor, insulator University of Michigan researchers reminded that quantum materials are a type of odd substance that could be many times more efficient at conducting electricity through a mobile device like an iPhone than the commonly used conductor silicon if physicists could figure out how they work. Now, a University of Michigan physicist has taken a step clo... » read more

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