One is that general-purpose processing elements cannot keep up with the workload demands or latency requirements. The second is that they need to be extremely efficient due to limited electricity from ...

Accelerate product design and delivery by empowering next-level digital engineering with secure, reliable high performance compute infrastructure.

Practical applications, implementation strategies, and the platform technologies enabling scalable, intelligent edge AI ...

A tutorial on DRAM architecture, specifically looking at design tradeoffs and subsequent impact to the overall system ...

The importance of early architecture exploration to avoid costly design revisions and ensure optimal power-performance ...

This paper demonstrates how AI and data-driven methods can help make telecom networks smarter, more efficient, and ready for ...

A Case for Long-Term and Short-Term RAM” was published by researchers at Stanford University and Microsoft, and an ...

Versatile In-NAND Self-Encryption with Zero Area Overhead” was published by researchers at DGIST, Georgia Tech, POSTECH, ...

Fig. 1: Roadmap for organic and glass core substrates.

Part 1: GenAI’s Breakneck Pace is Reshaping the Semiconductor Industry Unpacks how generative AI is outpacing Moore’s Law, ...

Inefficiencies emerge without visibility and a mechanism to securely share data between stakeholders. Accurate real-time data is the bridge between design, manufacturing and operations. Secure data ...

As system companies integrate increasingly advanced chips onto their boards for high-performance markets such as AI, Cloud, Telecommunications, and Automotive, the complexity of system production ...