Cloud-Ready Circuit Simulation Accelerates SoC Verification


By Nebabie Kebebew and Nigel Bleasdale Driven by the explosion of big data and expanding applications, chip design complexity is increasing. Applications such as high-performance computing (HPC), the Internet of Things (IoT), automotive, and 5G mobile and communications coupled with advanced process technology nodes require running a large number of circuit simulations to ensure the circuits... » read more

Week In Review: Manufacturing, Test


Government funding President Biden signed the CHIPS and Science Act into law on Tuesday, saying “America is back and leading the way.” That same day Micron touted a $40 billion investment through to 2030, which it expects will create 40,000 American jobs. “This legislation will enable Micron to grow domestic production of memory from less than 2% to up to 10% of the global market in t... » read more

Week in Review: Auto, Security, Pervasive Computing


Automotive and Mobility Search engine giant Baidu said Monday it is the first company to secure permits to operate robotaxis in China without a human safety driver. Baidu’s Apollo and Toyota-backed Pony.ai already operate robotaxis with backup drivers in Beijing. Also this week, smartphone maker Xiaomi said it is running autonomous driving tests on 140 vehicles in China. Xiaomi announced it ... » read more

Week In Review: Design, Low Power


Infineon acquired Industrial Analytics, a provider of AI-enabled industrial equipment monitoring. Its solution can monitor plants for early detection of critical developments, based on analysis and evaluation of vibrations, and evaluate data for both predictive and prescriptive maintenance. "Industrial Analytics has outstanding expertise in the area of predictive analysis for industrial machine... » read more

New Uses For AI In Chips


Artificial intelligence is being deployed across a number of new applications, from improving performance and reducing power in a wide range of end devices to spotting irregularities in data movement for security reasons. While most people are familiar with using machine learning and deep learning to distinguish between cats and dogs, emerging applications show how this capability can be use... » read more

Tradeoffs In Archiving Data


If you’ve ever had to sort through old technical documents, wondering what still has value and what can be safely tossed, you can identify with the quandary of Thomas Levy, UCSD professor of anthropology and co-founder of the field of cyber-archaeology. Staring at thousands of pieces of pottery in a Jordanian dessert, he erred on the side of keeping it all. “My personal perspective when ... » read more

Verifying A DDR5 Memory Subsystem


With the increasing complexity of DDR memory models and a vast set of configurations, it has become a daunting experience for verification engineers to verify memory subsystems. With the help of DDR5 Questa VIP and its unique features, engineers can maximize their debugging capabilities and achieve their verification goals quickly and efficiently. This paper introduces the Siemens EDA DDR5 and ... » read more

Design And Security Challenges for VR


Virtual reality is no longer just for gamers, and as this technology is deployed in everything from health care to industrial training, the requirements for processing more data faster over a high-speed connection are growing. Designing these devices continues to be a study in contradictions. They must be extremely low power, with a small enough batteries to make them comfortable to wear. Bu... » read more

Blog Review: Aug. 10


Siemens' Heather George provides a primer on 3D IC, including the problems it is trying to solve, what differentiates it from other multi-chip technologies, and some of the unique challenges in 3D integration. Cadence's Paul McLellan shares highlights from the Automobil Elektronik Kongress, including how the increasing amount of software in a car is driving disruption in the automotive suppl... » read more

Making The Most Of Data Lakes


Having all the semiconductor data available is increasingly necessary for improving manufacturability, yield, and ultimately the reliability of end devices. But without sufficient knowledge of relationships between data from different processes and computationally efficient data structures, the value of any data is significantly reduced. In the semiconductor industry, reducing waste, decreas... » read more

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