Auto Network Speeds Rise As Carmakers Prep For Autonomy


In-vehicle networks are starting to migrate from domain architectures to zonal architectures, an approach that will simplify and speed up communication in a vehicle using fewer protocols, less wiring, and ultimately lower cost. Zonal architectures will partition vehicles into zones that are more manageable and flexible, but getting there will take time. There is so much legacy technology in ... » read more

The Evolution Of Generative AI Up To The Model-Driven Era


Generative AI has become a buzzword in 2023 with the explosive proliferation of ChatGPT and large language models (LLMs). This brought about a debate about which is trained on the largest number of parameters. It also expanded awareness of the broader training of models for specific applications. Therefore, it is unsurprising that an association has developed between the term “Generative AI�... » read more

How The Productivity Advantages Of High-Level Synthesis Can Improve IP Design, Verification, And Reuse


Engineering teams are under more pressure than ever before—systems on chip (SoCs) are growing more complex and design schedules are increasingly tighter. With its productivity advantages, high-level synthesis (HLS) has long been touted as part of the solution, but its sweet spot has traditionally been limited to datapath-centric blocks. Moreover, design productivity is only one part of ... » read more

Blog Review: Dec. 6


Cadence's Vinod Khera checks out potential implications of generative AI for EDA, including how it could increase the learning rate of students and reduce the rising verification cost. Synopsys' Kiran Vittal considers the driving factors behind RISC-V's growth and why it is becoming increasingly important for applications ranging from automotive to 5G mobile, AI, and data centers. Siemens... » read more

Chip Industry Week In Review


By Susan Rambo, Gregory Haley, and Liz Allan Amkor plans to invest about $2 billion in a new advanced packaging and test facility in Peoria, Arizona. When finished, it will employ about 2,000 people and will be the largest outsourced advanced packaging facility in the U.S. The first phase of the construction is expected to be completed and operational within two to three years. Synopsys p... » read more

EDA Pushes Deeper Into AI


EDA vendors are ramping up the use of AI/ML in their tools to help chipmakers and systems companies differentiate their products. In some cases, that means using AI to design AI chips, where the number and breadth of features and potential problems is exploding. What remains to be seen is how well these AI-designed chips behave over time, and where exactly AI benefits design teams. And all o... » read more

Building Tomorrow’s Electronics Piece By Piece


The semiconductor landscape is undergoing a seismic shift as the demand for more powerful and energy-efficient electronic devices reaches new heights. In a recent panel discussion at CadenceLIVE Europe, featuring luminaries such as Kevork Kechichian from Arm, Paul Cunningham from Cadence, Norbert Schuhmann from Fraunhofer, Trent Uehling from NXP, Davide Rossi from the University of Bologna, an... » read more

Making Heterogeneous Integration More Predictable


Experts at the Table: Semiconductor Engineering sat down to discuss problems and potential solutions in heterogeneous integration with Dick Otte, president and CEO of Promex Industries; Mike Kelly, vice president of chiplets/FCBGA integration at Amkor Technology; Shekhar Kapoor, senior director of product management at Synopsys; John Park, product management group director in Cadence's Custom I... » read more

Blog Review: November 29


Siemens' Matt Walsh checks out electro-thermal design and how a Boundary Condition Independent Reduced Order Model (BCI-ROM) can capture accurate characteristics from a 3D thermal analysis, ready for use in a 1D circuit simulation. Cadence's Vinod Khera considers how EDA could benefit from the AI revolution by providing a productivity boost through virtual assistants and improving code quali... » read more

Improving AI Productivity With AI


AI is showing up or proposed for nearly all aspects of chip design, but it also can be used to improve the performance of AI chips and to make engineers more productive earlier in the design process. Matt Graham, product management group director at Cadence, talks with Semiconductor Engineering about the role of AI in identifying patterns that are too complex for the human brain to grasp, how t... » read more

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