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

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

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 stage for fundamental shifts in where power is generated, where AI data ...

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

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

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

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

Ferguson: This is a big part of what’s driving consolidation within the EDA industry. You see Siemens and Mentor and Altair ...

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

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

Evaluating CPU Fuzzers via Automatic Bug Injection” was published by researchers at ETH Zurich. Abstract “Hardware fuzzing ...