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The security of a device or system depends mainly on being unable to infer or guess an alphanumeric code needed to gain access to it or its data, be that a password or an encryption key. In automotive applications, the security requirement goes one step further – an attacker may not gain access per se, but if they can compromise vehicle… Read More
Last week, Synopsys announced an expansion of their Hardware-Assisted Verification (HAV) portfolio to accelerate semiconductor design innovations. These advancements are designed to meet the increasing demands of semiconductor complexity, enabling faster and more efficient verification across software and hardware… Read More
Artificial intelligence and machine learning have undergone incredible changes over the past decade or so. We’ve witnessed the rise of convolutional neural networks and recurrent neural networks. More recently, the rise of generative AI and transformers. At every step, accuracy has been improved as depicted in the graphic… Read More
The exponential growth of cloud data centers is well-known. Driven by the demands of massive applications like generative AI, state-of-the-art data centers present substantial challenges in terms of power consumption. And AI is poised to drive a 160% increase in data center power demand while also increasing demands on storage… Read More
Predictions in technology adoption often hinge on a delicate balance between technical feasibility and market dynamics. While business considerations play a pivotal role, the technical category reasons for the success or failure of a prediction are more tangible and often easier to identify—if scrutinized with care. However,… Read More
There is a revolution happening that is fueled by innovation in areas such as AI, IoT and autonomous driving. These new systems put incredible stress on next-generation semiconductor technology. Faster processing, higher density and lower latency must all be delivered with reduced power and thermal profiles. One technology… Read More
AI infrastructure requirements are booming. Larger AI models carry hefty training loads and inference latency requirements, driving an urgent need to scale AI acceleration clusters in data centers. Advanced GPUs and NPUs offer solutions for the computational load. However, insufficient bandwidth or latency between servers… Read More
There is ample evidence that technologies such as high-performance computing, next-generation servers, and AI accelerators are fueling unprecedented demands in data processing speed with massive data storage, lower latency, and lower power. Heterogeneous system integration, more commonly called 2.5 and 3D IC design, … Read More
As industries become more reliant on advanced technologies, the importance of ensuring the reliability and longevity of critical systems grows. Failures in components, whether in autonomous vehicles, high performance computing (HPC), healthcare devices, or industrial automation, can have far-reaching consequences.… Read More
When contemplating the Lego-like hardware and software structure of a leading system-on-chip (SoC) design, a mathematically inclined mind might marvel at the tantalizing array of combinatorial possibilities among its hardware and software components. In contrast, the engineering team tasked with its validation may have… Read More
Podcast EP219: How Synopsys Addresses Debug and Coverage Closure Challenges with Robert Ruiz
Podcast EP188: The New Demands for Memory Design and the Synopsys Approach with Anand Thiruvengadam
Podcast EP185: DRAM Scaling, From Atoms to Circuits with Synopsys’ Dr. Victor Moroz
Podcast EP178: An Overview of Advanced Power Optimization at Synopsys with William Ruby
Podcast EP169: How Are the Standards for the Terabit Era Defined?
Podcast EP152: An Informal Conversation with Aart de Geus on AI and Multi-Die at SNUG
Podcast EP148: The Synopsys View of High-Performance Communication and the Role of Chiplets
Podcast EP141: The Role of Synopsys High-Speed SerDes for Future Ethernet Applications
Podcast EP240: Challenges and Strategies to Address New Embedded Memory Architectures with Mark Han
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