Exploring the Efficiency of Inter-Core Connected AI Chips with Deep Learning Compiler Techniques” was published by ...

A new technical paper titled “Security Enclave Architecture for Heterogeneous Security Primitives for Supply-Chain Attacks” ...

How, why, and where LLMs can make a difference in chip manufacturing equipment.

AI data centers are consuming energy at roughly four times the rate that more electricity is being added to grids, setting ...

The resulting benefit can vary accordingly. “A small simple branch predictor might speed up a processor by 15%, whereas a ...

Processor architecture efficiency; PHYs for high-speed data movement; chiplet ecosystem barriers; LLMs on the edge; data center dominance shifting to AMD and Arm; LLMs; RTL vs. functional sign-off; ...

However, the issue of standards is essential for a functioning chiplet ecosystem.

Complex model architectures, demanding runtime computations, and transformer-specific operations introduce unique challenges.

Increased SoC complexity means that verification flows must now capture both the intent and the integrity of a design.

Implementing high-speed interconnects between computing assets with the flexibility to support composability.

In an era where artificial intelligence, autonomous vehicles, and high-performance computing push the boundaries of ...

Building dedicated computing infrastructure to oversee the complete AI life cycle. The rapid evolution of artificial ...