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Week In Review: Design, Low Power


IP Flex Logix debuted its new InferX X1 edge inference co-processor, which incorporates the interconnect technology from its eFPGAs and its inference-optimized nnMAX clusters. The chip focuses on high throughput in edge applications with a single DRAM and is optimized for small batch sizes in edge applications where there is typically only one camera/sensor. InferX X1 will be available as chip... » read more

Blog Review: April 10


Arm's Paul Whatmough discusses the growing use of real-time computer vision on mobile devices and proposes transfer learning as a way to enable neural network workloads on resource-constrained hardware. Cadence's Anton Klotz highlights a collaboration with Imec and TU Eindhoven on cell-aware test that reduces defect simulation time by filtering out defects with equivalent fault effects. M... » read more

Power/Performance Bits: April 8


Predicting battery life Researchers at Stanford University, MIT, and Toyota Research Institute developed a machine learning model that can predict how long a lithium-ion battery can be expected to perform. The researchers' model was trained on a few hundred million data points of batteries charging and discharging. The dataset consists of 124 commercial lithium iron phosphate/graphite cells... » read more

Week In Review: Design, Low Power


Tools & IP Cadence entered the system design and analysis market with the release of Clarity 3D Solver, which creates S-parameter models for use in signal integrity, power integrity, and electromagnetic compliance analysis. The tool uses a distributed adaptive meshing approach for cloud and on-premises distributed computing and it optimized to distribute a job across multiple low-cost comp... » read more

Blog Review: April 3


Synopsys' Taylor Armerding contends that as the IoT becomes more ubiquitous, the threat of cyber-physical attacks is rising, with the potential for a domino effect if even simple devices are compromised in large enough quantities. Mentor's Colin Walls considers the move away from programming on bare metal with the rise of drivers and RTOSes and when it makes sense to still use the old method... » read more

Power/Performance Bits: April 2


DNA programming Computer scientists at California Institute of Technology, University of California, Davis, Maynooth University, and Harvard University created a library of DNA molecules that can self-assemble to compute a variety of algorithms. Each molecule represents a six-bit binary number. The library created by the team is made up of around 700 short pieces, or tiles, of DNA. Each DNA... » read more

Week In Review: Design, Low Power


ON Semiconductor will acquire Quantenna Communications for $24.50 per share in an all cash transaction, representing an equity value of approximately $1.07 billion and enterprise value of approximately $936 million. Quantenna, a maker of Wi-Fi chipsets, was founded in 2006 and went public in late 2016. Tools & IP Achronix completed testing and is now demonstrating the 112 Gbps SerDes th... » read more

Blog Review: Mar. 27


Rambus' Steven Woo takes a look at the memory requirements of neural networks and why some companies are using on-chip memory while others are using HBM2 or GDDR6. Cadence's Lana Chan  observes growing momentum for NVMe and highlights some new features in the latest specification that are pushing mainstream adoption forward. Mentor's Matthew Ballance contends that when it comes to adopti... » read more

Power/Performance Bits: Mar. 26


Material holds both electrons, holes Researchers at Ohio State University discovered a material that can hold both electrons and holes. They hope the material, the layered metal crystal NaSn2As2, could simplify electronics, potentially removing the need for multiple layers or materials. "It is this dogma in science, that you have electrons or you have holes, but you don't have both. But our... » read more

Week In Review: Design, Low Power


Synopsys announced several new products: a new test family, a physical verification solution, and a software library for neural net SoCs. TestMAX, the new family of test products, includes soft error analysis and X-tolerant logic BIST for automotive test and functional safety requirements. TestMAX enables test through functional high-speed interfaces and supports early validation of DFT logi... » read more

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