Week In Review: Design, Low Power


Tools, IP, chips Synopsys unveiled a new data-visibility and machine intelligence-guided design optimization solution. DesignDash is complementary to the company's DSO.ai AI-driven design-space-optimization tool and provides a real-time, unified, 360-degree view of all design activities. It uses deep analytics and machine learning to extract and reveal actionable understanding from large amoun... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive, mobility Cruise, General Motors’ self-driving car company, obtained a permit to charge for rides in San Francisco, according to a story in Reuters. The California Public Utilities Commission, the regulatory board that can approve permits, voted 4-0 to issue “the first Phase I Driverless Autonomous Vehicle (AV) Passenger Service Deployment permit in California to Cruise LLC to a... » read more

Automotive Bandwidth Issues Grow As Data Skyrockets


Bandwidth requirements for future vehicles are set to explode as the amount of data moving within vehicles, between vehicles, and between vehicles and infrastructure, continues to grow rapidly. That data will be necessary for a variety of functions, some of which are here today and many of which are still in development. On the safety side, that includes everything from early warning systems... » read more

Reducing Fuel Consumption By Optimizing Engine Parts With CFD


How to reduce the carbon footprint of the automotive industry? Mobility comes with huge CO2 emissions and drastically reducing them is a top priority of vehicle designers today. It is no surprise that simulation can play a major part in finding solutions for this important challenge. Simulation can provide insight, reduce time-to-market, improve reliability, and reduce engineering cost for ne... » read more

AI-Powered Verification


With functional verification consuming more time and effort than design, the chip industry is looking at every possible way to make the verification process more effective and more efficient. Artificial intelligence (AI) and machine learning (ML) are being tested to see how big an impact they can have. While there is progress, it still appears to be just touching the periphery of the problem... » read more

Blog Review: June 1


Analog Photonics' Erman Timurdogan, Ren-Jye Shiue, and Mohammad H. Teimourpour, and Ansys' Bozidar Novakovic, Ahsan Alam, and Peter Hallschmid consider the development of photonic process design kits and the importance of choosing a laser model that can optimally satisfy often conflicting requirements between the number of known laser parameters, the model accuracy, and the computational time. ... » read more

Who Benefits From Chiplets, And When


Experts at the Table: Semiconductor Engineering sat down to discuss new packaging approaches and integration issues with Anirudh Devgan, president and CEO of Cadence; Joseph Sawicki, executive vice president of Siemens EDA; Niels Faché, vice president and general manager at Keysight; Simon Segars, advisor at Arm; and Aki Fujimura, chairman and CEO of D2S. This discussion was held in front of a... » read more

Week In Review: Design, Low Power


EnSilica listed on the London Stock Exchange's AIM market under the ticker ENSI. EnSilica designs mixed signal ASICs for system developers in the automotive, industrial, healthcare, and communications markets. It also has a portfolio of core IP covering cryptography, radar and communications systems. AIM is the LSE’s market for small and medium sized growth companies. "In connection with Admi... » read more

Week In Review: Auto, Security, Pervasive Computing


Automotive, mobility Cadence is now an official technology partner of the McLaren Formula 1 Team. The team will use Cadence’s Fidelity CFD Software to look at the computational fluid dynamics (CFD) of the airflow around the race cars and predict how a car design will affect the airflow. Infineon uncorked its XENSIV 60 GHz automotive radar sensor for in-cabin monitoring systems. One use ca... » read more

How To Optimize A Processor


Optimizing any system is a multi-layered problem, but when it involves a processor there are at least three levels to consider. Architects must be capable of thinking across these boundaries because the role of each of the layers must be both understood and balanced. The first level of potential optimization is at the system level. For example, how does data come in and out of the processing... » read more

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