Data Coherence Across Silos And Hierarchy


Shift left has become a rallying cry for the chip design industry, but unless coherent data can flow between the groups being impacted, the value may not be as great as expected. Shift left is a term that encompasses attempts to bring analysis and decision-making forward in the development process. The earlier an issue can be found, the less of a problem it ultimately becomes. But in many ca... » read more

Chip Design Digs Deeper Into AI


Growing demand for blazing fast and extremely dense multi-chiplet systems are pushing chip design deeper into AI, which increasingly is viewed as the best solution for sifting through scores of possible configurations, constraints, and variables in the least amount of time. This shift has broad implications for the future of chip design. In the past, collaborations typically involved the chi... » read more

EDA Looks Beyond Chips


Large EDA companies are looking at huge new opportunities that reach well beyond semiconductors, combining large-scale multi-physics simulations with methodologies and tools that were developed for chips. Top EDA executives have been talking about expanding into adjacent markets for more than a decade, but the broader markets were largely closed to them. In fact, the only significant step in... » read more

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

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