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Artificial Intelligence
In the fast-paced semiconductor industry Synopsys has redefined EDA with its Synopsys.ai Copilot, a generative AI tool. Since its launch in November 2023, and yes I was at the launch and very skeptical, Copilot has evolved to address the industry’s growing design complexity and projected 15-30% workforce gap by 2030. Let’s… Read More
Keeping up with the furious pace of AI innovation probably doesn’t allow a lot of time for deep analysis across many use cases. However I can’t help feeling we’re sacrificing quality and ultimately end user acceptance of AI by prioritizing new capabilities over rigorous productization. I am certain that product companies do rigorous… Read More
Everyone knows design complexity is exploding. What used to be difficult is now bordering on impossible. While design and verification challenges occupy a lot of the conversation, the problem is much bigger than this. The new design and manufacturing challenges of 3D innovations and the need to coordinate a much more complex … Read More
Welcome to the second half of a very exciting year in semiconductors. While Intel and Samsung Foundry have made quite a few headlines, TSMC continues to execute flawlessly at 3nm and 2nm. With the TSMC OIP Ecosystem Forums starting later this month let’s take a look at how we got to where we are today.
In engineering development, automated code generation as a pair programming assistant is high on the list of targets for GenAI applications. For hardware design obvious targets would be to autogenerate custom RTL functions or variants on standard functions, or to complete RTL snippets as an aid to human-driven code generation.… Read More
We are in the midst of one of the most transformative periods for data center infrastructure. The explosion of AI, cloud-scale workloads, and hyperscale networking is forcing rapid innovation not only in compute and storage, but in the very fabric that connects them. At the recent Hot Chips conference, Pat Fleming gave a talk on… Read More
For decades, high-performance CPU design has been dominated by traditional out-of-order (OOO) execution architectures. Giants like Intel, Arm, and AMD have refined this approach into an industry standard—balancing performance and complexity through increasingly sophisticated schedulers, speculation, and runtime … Read More
The rapid evolution of artificial intelligence (AI) is transforming industries, from autonomous vehicles to data centers, demanding unprecedented computational power and efficiency. As highlighted in Synopsys’ guide, the global AI chip market is projected to reach $383 billion by 2032, growing at a 38% CAGR. This … Read More
The evolution of AI workloads has profoundly influenced hardware design, shifting from single-GPU systems to massive rack-based clusters optimized for parallelism and efficiency. As outlined in this Hot Chips 2025 tutorial, this transformation began with foundational models like AlexNet in 2012 and continues with today’s… Read More
The evolution of hyperscale data center infrastructure to support the processing of trillions of parameters for large language models has created some rather substantial design challenges. These massive processing facilities must scale to hundreds of thousands of accelerators with highly efficient and fast connections.… Read More
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