New Strategies For Interpreting Data Variability


Every measurement counts at the nanoscopic scale of modern semiconductor processes, but with each new process node the number of measurements and the need for accuracy escalate dramatically. Petabytes of new data are being generated and used in every aspect of the manufacturing process for informed decision-making, process optimization, and the continuous pursuit of quality and yield. Most f... » read more

Using Keysight Design Data Management SOS In The Cloud


Integrated circuits (ICs) are becoming increasingly complex and resource intensive. This is challenging companies to design chips more efficiently and reduce the overall impact of peak processing loads. Companies typically use large server farms and high-performance storage systems to design and validate chips quickly and efficiently. However, this approach is very resource intensive. For ex... » read more

Data Management Challenges In Heterogeneous Systems


Experts at the Table: Semiconductor Engineering sat down to discuss issues in smart manufacturing of chips, including data management, chiplets, and standards, with Mujtaba Hamid, general manager for product management for secure cloud environments at Microsoft; Vijaykishan Narayanan, vice president and general manager of India engineering and operations at proteanTecs; KT Moore, vice presiden... » read more

Using Generative AI To Connect Lab To Fab Test


Executive Insight: Thomas Benjamin, CTO at National Instruments, sat down with Semiconductor Engineering to discuss a new way of looking at test, using data as a starting point and generative AI as a bridge between different capabilities. SE: What are the big changes you're seeing and how is that affecting movement of critical data from the lab to the fab? Benjamin: If you walk into any m... » read more

CEO Outlook: Chiplets, Data Management, And Reliability


Semiconductor Engineering sat down to talk about changes in chip design with Joseph Sawicki, executive vice president for IC EDA at Siemens Digital Industries Software; John Kibarian, president and CEO of PDF Solutions; John Lee, general manager and vice president of Ansys' Semiconductor Business Unit; Niels Faché, vice president and general manager of PathWave Software Solutions at Keysight; ... » read more

Advantages, Disadvantages, And Use Cases Of FPGAs


A technical paper titled “Data Processing with FPGAs on Modern Architectures” was published by researchers at ETH Zürich. Abstract: "Trends in hardware, the prevalence of the cloud, and the rise of highly demanding applications have ushered an era of specialization that is quickly changing the way data is processed at scale. These changes are likely to continue and accelerate in the next... » read more

New Data Management Challenges


An explosion in semiconductor design and manufacturing data, and the expanding use of chips in safety-critical and mission-critical applications, is prompting chipmakers to collect and manage that data more effectively in order to improve overall performance and reliability. This collection of data reveals a number of challenges with no simple solutions. Data may be siloed and inconsistent, ... » read more

Boosting Data Management System Performance


Marios Karatzias, application engineer at ClioSoft, talks with Semiconductor Engineering about the increasing use and re-use of IP in designs, how to best keep track of that IP, and how to optimize the performance of the data management system to deal with IP in heterogeneous chips. This is particularly important in automotive and industrial applications, where a specific version of IP may have... » read more

Learning How To Forget


There has been a lot of talk recently about the right to be forgotten, or data privacy rights. These require companies that hold data about us to remove it when properly requested. This might be data that was collected as we browse the Internet, or from online shopping. Or perhaps it's collected as we drive our cars past cameras, or GPS tracking of our cellphones, or many other ways – some of... » 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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