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Research Bits: July 11


Modeling ALE Scientists at U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL), in coordination with Lam Research, modeled atomic layer etching (ALE) for semiconductor fabrication. “This would be one little piece in the whole process,” said David Graves, associate laboratory director for low-temperature plasma surface interactions at PPPL and a professor in th... » read more

Week In Review: Design, Low Power


Tools, IP, design Infineon Technologies acquired NoBug, a provider of design verification services. The acquisition will help Infineon expand its IoT R&D business in eastern Europe. “This considerable increase in superior verification know-how lets Infineon offer its customers more of its leading products at a reduced time-to-market,” said Guenter Krasser, Vice President and Managing D... » read more

Blog Review: July 6


Synopsys' Mike Gianfagna looks at how the data center paradigm has shifted in the last ten years with an exponential increase in the amount of data demanding new approaches to storage that rely on distributed networks. Cadence's Frank Schirrmeister explains multidisciplinary design analysis and optimization, or MDAO, and how it is being combined with machine learning models to enhance classi... » read more

Startup Funding: June 2022


Big money went to manufacturing in June, with a massive round for a Chinese analog foundry’s expansion to 55 – 40nm nodes. A fab management software startup also drew sizeable investment, as did a supplier of semiconductor-grade silicon components. Investors didn’t forget chip design, with three EDA companies receiving new funding, one of which drew over $100 million. Plus, numerous te... » read more

Week In Review: Design, Low Power


IP, design Arm unveiled a number of new CPUs and GPUs. Based on the Armv9 architecture, the Cortex-X3 aims to improve single-threaded performance and targets a range of benchmarks and applications. The Cortex-A715 focuses on efficient performance, delivering a 20% energy efficiency gain and 5% performance uplift compared to Cortex-A710. In addition, the Cortex-A510 and DSU-110 were updated to ... » read more

Blog Review: June 29


Synopsys' Emilie Viasnoff argues that optical sensors are critical building blocks of autonomous vehicles and that sensor digital twins have the potential to dramatically reduce the amount of field testing needed by using driving simulators for tasks ranging from design and testing to integration and autonomous driving system co-optimization. Siemens' Sumit Vishwakarma considers the evolutio... » read more

Power/Performance Bits: June 28


Making uniform wafers Scientists from the Korea Institute of Machinery & Materials (KIMM) and Nanyang Technological University Singapore (NTU Singapore) propose a technique that combines nanotransfer printing with metal-assisted chemical etching to improve wafer uniformity and increase yield. The researchers used a chemical-free nanotransfer printing technique that transfers gold nanost... » read more

Week In Review: Design, Low Power


RISC-V RISC-V International announced four new specification and extension approvals. Efficient Trace for RISC-V defines an approach to processor tracing that uses a branch trace. RISC-V Supervisor Binary Interface architects a firmware layer between the hardware platform and the operating system kernel using an application binary interface in supervisor mode to enable common platform services... » read more

Blog Review: June 22


Arm's Andrew Pickard checks out a project at Sorbonne Université in Paris that is using the Cortex-M3 processor source code to model what is happening in the hardware at the microarchitectural level and find ways to prevent side-channel leakage of sensitive cryptographic information. Cadence's Paul McLellan digs into the development of high-NA EUV lithography and some of the challenges ahea... » read more

Research Bits: June 21


Side-channel protection for edge AI Researchers from the Massachusetts Institute of Technology built a chip that can defend against power side-channel attacks targeting machine learning computations in smartwatches, smartphones, and tablets. Side-channel attacks involve observing a facet of the device's operation, in this case power, to deduce secrets. “The goal of this project is to buil... » read more

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