A Bridge From Mars To Venus


In a now-famous 1992 pop psychology book titled "Men Are from Mars, Women Are from Venus," author John Gray posited that most relationship troubles in couples stem from fundamental differences in socialization patterns between men and women. The analogy that the two partners came from different planets was used to describe how two people could perceive issues in completely different and sometim... » read more

Megatrends At DAC


Spotting key trends over three days of a semiconductor design conference is a challenge, but some important ones come into focus after attending multiple sessions — AI/ML, chiplet integration, and heterogeneous integration in an SoC and package. Frank Schirrmeister, vice president solutions and business development at Arteris IP, talks about a variety of topics that fit under the DAC umbrella... » read more

A Photonic Circuit Architecture Allowing Faster, More Efficient Transfer of Large Amounts of Data


A technical paper titled "Massively scalable Kerr comb-driven silicon photonic link" was published by researchers at Columbia University and Air Force Research Laboratory. Abstract: "The growth of computing needs for artificial intelligence and machine learning is critically challenging data communications in today’s data-centre systems. Data movement, dominated by energy costs and limi... » read more

Not All There: Heterogeneous Multiprocessor Design Tools


The design, implementation, and programming of multicore heterogeneous systems is becoming more common, often driven by the software workloads, but the tooling to help optimize the processors, interconnect, and memory are disjointed. Over the past few years, many tools have emerged that help with the definition and implementation of a single processor, optimized for a given set of software. ... » read more

Overcoming Regression Debug Challenges With Machine Learning


Development of a modern semiconductor requires running many electronic design automation (EDA) tools many times over the course of the project. Every stage, from architectural exploration and design to final implementation and manufacturing preparation, has multiple methodology loops that must be repeated again and again. Even in such a complex development flow, functional simulation stands ... » read more

(Vision) Transformers: Rise Of The Chimera


It’s 2023 and transformers are having a moment. No, I’m not talking about the latest installment of the Transformers movie franchise, "Transformers: Rise of the Beasts"; I’m talking about the deep learning model architecture class, transformers, that is fueling anticipation, excitement, fear, and investment in AI. Transformers are not so new in the world of AI anymore; they were first ... » read more

193i Lithography Takes Center Stage…Again


Cutting-edge lithography to create smaller features increasingly is being supplemented by improvements in lithography for mature process nodes, both of which are required as SoCs and complex chips are decomposed and integrated into advanced packages. Until the 7nm era, the primary goal of leading-edge chipmakers was to pack everything onto a single system-on-chip (SoC) using the same process... » read more

Chiplets: Bridging The Gap Between The System Requirements And Design Aggregation, Planning, And Optimization


A technical paper titled “System and Design Technology Co-optimization of Chiplet-based AI Accelerator with Machine Learning” was published by researchers at Auburn University. Abstract: "With the availability of advanced packaging technology and its attractive features, the chiplet-based architecture has gained traction among chip designers. The large design space and the lack of sys... » 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

Risks And Faults We Can Detect Using Machine Learning And Physics


In its earliest form, technicians manually took condition status readings from individual pieces of equipment and used them to shape maintenance conclusions. Today, critical machine and system data can be streamed continuously, automatically, from industrial internet of things (IIoT) sensors for real-time analytics, diagnostics, and suggested actions. Click here to read more. » read more

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