Special Report
Shift Left Is The Tip Of The Iceberg
A transformative change is underway for semiconductor design and EDA. New languages, models, and abstractions will need to be created.
Top Stories
Managing The Huge Power Demands Of AI Everywhere
More efficient hardware, better planning, and better utilization of available power can help significantly.
New AI Data Types Emerge
Several PPA considerations means no single type of data is ideal for all AI models.
Big Changes Ahead For Analog Design
In-house flows are unable to keep up with foundry PDKs and heterogeneous integration, but commercial EDA tools add their own set of challenges.
Sponsor Blogs
Rambus’ Zaman Mollah introduces Multiplexed Registered DIMMs, a new memory module architecture that expands the capabilities of server main memory, in Extending The DDR5 Roadmap With MRDIMM.
Siemens’ Ujjwal Negi and Prashant Dixit dig into computational storage devices and how to address NVMe verification challenges, in Harnessing Computational Storage For Faster Data Processing.
Cadence’s Nayan Gaywala shows how to create a multi-core simulation that functions as a practical software development platform, in Simulating Multiple DSPs As Multiple x86 Processes.
Arm community blogger Jonathan Pallant explains how the Rust programming language enables development of rich APIs to describe various hardware interfaces, Building Safe And Secure Software With Rust On Arm.
Ansys’ Wim Slagter offers guidance for choosing the best CPU to run simulation software, considering factors such as speed, scalability, and performance for large, complex models, in Powering Mechanical Simulations: AMD Vs. Intel.
Sponsor White Papers
A Comprehensive Guide To Understanding AI Inference On The CPU
Why AI inference is happening on the CPU, different approaches for AI inference, and use cases from the cloud to the edge.
How to Accelerate Multiphysics Simulation Software With Turnkey Hardware Systems
Complex chips and systems require simulation of thermal, structural, and electromagnetic forces.
Chiplets For Future Automotive Applications
Chiplets can distribute functionality on different technologies, help secure the supply chain, and reduce rising development costs in advanced IC nodes.
Innovate Faster With A Multi-Die Solution
Overcoming the many multi-die design challenges and improve productivity with optimized performance and system power.
Accelerating Verification Of Computational Storage Designs Using Avery NVMe Verification IP
Issues and solutions for integrating processing directly into storage devices.
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