Author's Latest Posts


Power/Performance Bits: April 20


Multiplexing twisted light Researchers from University of California San Diego and University of California Berkeley found a way to multiplex light by using discrete twisting laser beams from antennas made up of concentric rings. "It's the first time that lasers producing twisted light have been directly multiplexed," said Boubacar Kanté, an Associate Professor at UC Berkeley's Department ... » read more

Week In Review: Design, Low Power


Siemens Digital Industries Software will acquire OneSpin Solutions, a provider of formal verification tools. The company's portfolio of formal tools and apps covers a wide range of design verification, equivalence checking, and functional safety, as well as solutions for trust and security checking. Siemens plants to add OneSpin's technology to the Xcelerator portfolio of verification tools. ... » read more

Blog Review: April 14


Siemens EDA's Jake Wiltgen provides an overview of setting up an executing a fault injection campaign to prove that the IC or IP will safely operate under a faulted state caused by a random hardware failure, required to meet higher ASIL targets for ISO 26262 functional safety certification. Synopsys' Taylor Armerding considers the state of medical device security and the growing attack surfa... » read more

Power/Performance Bits: April 13


Speedy data transfer Researchers from MIT, Intel, and Raytheon developed a new data transfer system that both boosts speeds and reduces energy use by taking elements from both traditional copper cables and fiber optics. "There's an explosion in the amount of information being shared between computer chips -- cloud computing, the internet, big data. And a lot of this happens over conventiona... » read more

Week In Review: Design, Low Power


Tools & IP Cadence debuted the Palladium Z2 Enterprise Emulation and Protium X2 Enterprise Prototyping systems. The Palladium Z2 is based on a new custom emulation processor, while the Protium X2 is based on Xilinx UltraScale+ VU19P FPGAs. Designed to work together with a common front-end flow, they provide 2X capacity and 1.5X performance improvements over the previous generations, and ne... » read more

Startup Funding: March 2021


Self-driving vehicles revved up investors in March, with two companies receiving over $200M apiece as they prepare for their systems to enter mass production. One focuses on software for passenger vehicles, while the other is looking to autonomous trucks. Both of the companies received investment from automakers, with China's largest carmaker SAIC joining each of the funding rounds. It was also... » read more

Blog Review: April 7


Cadence's Paul McLellan checks out the US National Security Commission on Artificial Intelligence report and what it recommends for funding the development of AI as well as semiconductor manufacturing and research. Siemens EDA's Ray Salemi continues exploring Python for verification and shows how to use cocotb to create a simple bus functional model and connect it to a testbench. Synopsys... » 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

Week In Review: Design, Low Power


Magnachip will be acquired by Wise Road Capital for $1.4 billion, taking the NYSE-listed company private. The company designs and manufactures OLED display driver ICs and a range of power management discretes and ICs. Magnachip's management team and employees are expected to continue in their roles, and the company will remain based in Cheongju, Seoul, and Gumi, South Korea. The all-cash transa... » read more

Blog Review: March 31


Arm's Pavel Rudko considers several common approaches used to get better performance for neural network inference on mobile devices, such as optimizing and pruning the model and using different processing units to execute different workloads in parallel. Siemens EDA's Ray Salemi introduces basic concepts of using Python for verification and how to get Python to talk to an RTL device-under-te... » read more

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