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

EDA Gaps At The Leading Edge


Semiconductor Engineering sat down to discuss why new approaches are required for heterogeneous designs, with Bari Biswas, senior vice president for the Silicon Realization Group at Synopsys; John Lee, general manager and vice president of the Ansys Semiconductor business unit; Michael Jackson, corporate vice president for R&D at Cadence; Prashant Varshney, head of product for Microsoft Azu... » read more

Who Does Processor Validation?


Defining what a processor is, and what it is supposed to do, is not always as easy as it sounds. In fact, companies are struggling with the implications of hundreds of heterogenous processing elements crammed into a single chip or package. Companies have extensive verification methodologies, but not for validation. Verification is a process of ensuring that an implementation matches a specif... » read more

Why Hardware-Dependent Software Is So Critical


Hardware and software are two sides of the same coin, but they often live in different worlds. In the past, hardware and software rarely were designed together, and many companies and products failed because the total solution was unable to deliver. The big question is whether the industry has learned anything since then. At the very least, there is widespread recognition that hardware-depen... » 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

Week In Review: Auto, Security, Pervasive Computing


Automotive, mobility U.S. National Highway Traffic Safety Administration (NHTSA) release its first crash reports from ADAS (advanced driver assistance systems, i.e., SAE Level 2) and ADS (automated driving systems, i.e., SAE Levels 3-5).  The systems had to be in use at least 30 seconds before the crash in order for it to be reportable. The car may have had the system turned off at the time ... » read more

Blog Review: June 15


Ansys' Vidyu Challa considers common primary, or single-use, battery chemistries and how they affect that many important cell properties, such as energy density, flammability and safety, available cell constructions, temperature range, and shelf life. Synopsys' Rimpy Chugh and Rohit Kumar Ohlayan discuss some of the challenges arising from static linting of code, shifting linting left in the... » read more

Chips Can Boost Malware Immunity


Security is becoming an increasingly important design element, fueled by increasingly sophisticated attacks, the growing use of technology in safety-critical applications, and the rising value of data nearly everywhere. Hackers can unlock automobiles, phones, and smart locks by exploiting system design soft spots. They even can hack some mobile phones through always-on circuits when they are... » read more

Audio, Visual Advances Intensify IC Design Tradeoffs


A spike in the number of audio and visual sensors is greatly increasing design complexity in chips and systems, forcing engineers to make tradeoffs that can affect performance, power, and cost. Collectively, these sensors generate so much data that designers must consider where to process different data, how to prioritize it, and how to optimize it for specific applications. The tradeoffs in... » read more

Week In Review: Design, Low Power


Edge, embedded, IoT Renesas Electronics will acquire Reality Analytics, Inc. (Reality AI), a provider of embedded AI and TinyML solutions for advanced non-visual sensing in automotive, industrial, and commercial products. The inference-based AI solutions can be implemented across various endpoint AI applications. “Customers are increasingly demanding highly customized solutions involving emb... » read more

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