Who verifies the verifier? This is the age-old question for anyone involved in the verification of semiconductor systems. Who ...

Autonomous machines promise to transform industries, but memory bottlenecks, power constraints, specialized architectures, ...

SE: AI is disruptive to EDA, the semiconductor industry, and to their customers. One early indication is that computer ...

Shared resources, a mix of tools running at different speeds, and multiple dies are adding new challenges for design teams.

How data center operators can protect critical data and communications without compromising the performance demanded by distributed AI and HPC workloads.

Advanced packaging pushes process behavior across company lines, so what one supplier hides now shapes another company’s prediction. Encryption and abstraction protect the recipe cleanly, but neither ...

Accurate SI analysis must account for interactions across vertical interconnects, interposers, silicon bridges, package transitions, and neighboring high-speed channels.

STCO for heterogeneous design; physical AI interactions; signing off AI-generated designs; workload profile analysis.

Technology is only useful if it improves an existing methodology. Property generation is still refining that goal, but in the ...

Physics-based analysis becomes more consequential as chips, packages, boards, and systems are designed together.

Chiplets for physical AI; rack-level considerations; verification complexity; sparse matrix workloads; AI data centers.

Unprecedented demand for bandwidth calls for bringing optics closer to silicon through a fundamental rethinking of the ...