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 ...

A chiplet ecosystem is under development, but many barriers must be overcome before a thriving marketplace can exist.

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 ...