A new technical paper titled “Architecting Long-Context LLM Acceleration with Packing-Prefetch Scheduler and Ultra-Large ...

Book: Using predictive analytics and heterogeneous package workflows to design cost-effective multi-die assemblies.

Researchers from the Massachusetts Institute of Technology (MIT) and Bridgewater State University developed a new way to ...

Diversity of compute elements proliferates for inference, but the mix varies by application. With AI changing so fast, it’s a ...

This article examines the system-level challenges in enabling seamless 1.6 Tbps port-level interoperability for ...

Programmable chip-to-chip photonic fabrics in multi-accelerator servers for ML” was published by researchers at Cornell ...

Enabling EDA Flow Automation through Microservice-Based LLM Agents” was published by researchers at Duke University and ...

Is AI using too much power? Some people think so, and believe the easy gains in power reduction have already been made.

Confidentiality, to a lesser extent, and integrity, to the greatest extent, are the most important considerations with AI ...

CBFC uses two cyclic counters to track the credits consumed and freed at sender and receiver, respectively.

Adaptive optimization algorithms promise better results and deeper insight into why certain designs perform better than ...

Data centers continue to heat up as new processors consume more energy than ever before. Cooling is the primary weapon ...