Week In Review: Design, Low Power


Tools & design EDA industry revenue increased 7.1% year-over-year from $2.95 billion to $3.46 billion in Q3 2021, according to the ESD Alliance. "Geographically, all regions reported double-digit growth, with product categories CAE, Printed Circuit Board and Multi-Chip Module, SIP, and Services also showing double-digit growth," said Walden C. Rhines, Executive Sponsor of the SEMI Electron... » read more

Week In Review: Auto, Security, Pervasive Computing


Security Arm shipped a prototype CHERI-enabled Morello processor, SoC, and board, the first products coming from the security Morello research program that aims to make more secure hardware that will block certain common attacks. The first board prototypes are going to testing teams at Google, Microsoft, and other major stakeholders and partners across the industry and academia.  The UKRI (UK... » read more

Startup Funding: August 2021


More than $3.5 billion in funding was funneled into 35 startups last month, much of that scattered across the globe. Several Chinese companies received significant funding as the country bulks up domestic production of wafers and GPUs. In addition, with attention increasing on the need for electric vehicles and renewable energy, big investments went into battery manufacturing startups. One comp... » read more

Vector Runahead


Abstract: "The memory wall places a significant limit on performance for many modern workloads. These applications feature complex chains of dependent, indirect memory accesses, which cannot be picked up by even the most advanced microarchitectural prefetchers. The result is that current out-of-order superscalar processors spend the majority of their time stalled. While it is possible to bui... » read more

Power/Performance Bits: April 5


Wafer-scale graphene In an attempt to make graphene more useful for photonic devices, researchers from CNIT, Istituto Italiano di Tecnologia (IIT), Tecip Institute, University of Cambridge, and Graphene Flagship Associated Member and spin-off CamGraphIC developed a wafer-scale graphene fabrication technology that uses predetermined graphene single-crystal templates, allowing for integration in... » read more

Startup Funding: January 2021


Over $800M in funding went to companies developing autonomous driving technology, from self-driving-focused AI chips to full vehicles and aftermarket solutions. A couple electric vehicle manufacturers stood out this month, with investors putting large backing behind US-based Rivian and China-based Leapmotor. And with EVs come lots of batteries: funding went to a few startups trying out new batt... » read more

Week In Review: Design, Low Power


M&A AMD will acquire Xilinx for $35 billion in an all-stock deal. "Joining together with AMD will help accelerate growth in our data center business and enable us to pursue a broader customer base across more markets,” said Victor Peng, Xilinx president and CEO. The deal is expected to close by the end of 2021. The acquisition of the programmable logic giant will leave only a few purepla... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive Synopsys added support for Infineon's automotive AI chip, the AURIX TC4xx 32-bit microcontroller with parallel processing unit. Dialog Semiconductor announced automotive qualification for its DA7280 high-definition haptic driver. The company Alps Alpine is using the DA7280 in Alps Alpine Heavy, the latest version of its HAPTIC Reactor Linear Resonant Actuators (LRAs). Bosch, M... » read more

Power/Performance Bits: Oct. 12


More stable quantum states Researchers at the University of Chicago found a way to make quantum systems retain coherency 10,000 times longer. The fragile nature of quantum states remains a challenge for developing practical applications of quantum computing, as they can be easily disrupted by background noise coming from vibrations, temperature changes or stray electromagnetic fields. Ap... » read more

Power/Performance Bits: May 19


Neuromorphic magnetic nanowires Researchers from the University of Texas at Austin, University of Texas at Dallas, and Sandia National Laboratory propose a neuromorphic computing method using magnetic components. The team says this approach can cut the energy cost of training neural networks. "Right now, the methods for training your neural networks are very energy-intensive," said Jean Ann... » read more

← Older posts Newer posts →