Limited by Power


AI is seen as a massive computation problem, but that is not the case, at least with the way that the problem is structured today. It is a data movement problem. This not only limits performance but represents most of the energy consumption. In addition, the industry spends most of its time and effort making small improvements that optimize aspects of the existing architecture, when what is ... » read more

AI Buildout Makes HPC Simulation More Challenging


Simulations of semiconductors and systems are becoming bigger, more complex, and increasingly necessary, mirroring everything that is happening to the hardware itself — particularly in AI data centers. The move beyond monolithic chips to multi-die assemblies now requires solving some thorny multi-physics challenges, such as thermal and power delivery, which are increasingly difficult to mo... » read more

Chiplets Vs. Soft IP: Different In Almost Every Way


Chiplets serve a similar function as the soft IP widely used in chips today, but the similarities end there. While both can speed time to market and enable design teams to focus limited resources where they can best be applied, the implementation, manufacturing, test, and long-term business requirements wrought by a chiplet marketplace would be very different. Soft IP (also known as RTL IP) ... » read more

Arm Performance Cookbook: Your Guide to Optimal Design and Verification (EBook)


The Performance Cookbook for Arm is your essential resource for mastering the complexities of system-level performance, architecture exploration, and SoC verification. Why Download the Performance Cookbook? In-Depth Exploration - Dive into the evolution of Arm compute subsystem architectures, with detailed coverage on how critical components interact to deliver optimal performance be... » read more

Reduce Noise And Improve Fan Performance With Serrated Edges


Industrial fans are widely utilized across various sectors, including manufacturing, automotive, and energy production, playing a vital role in ventilation and cooling. However, a notable drawback of these powerful machines is the significant noise they produce, which can range from 70 to 120 decibels. A primary contributor to this noise is the aerodynamic turbulence created by the fan blades. ... » read more

Small Language Models Create New Security Risks


The rollout of edge AI is creating new security risks due to a mix of small language models (SLMs), their integration into increasingly complex hardware, and the behavior and interactions of both over time. AI data centers still garner the most attention due to massive investments and an ongoing flood of deals and acquisitions, but the edge is quietly starting to take shape for several reaso... » read more

Physical AI Takes Functional Safety Cues From Automotive


Robots are becoming smarter, more capable, and more pervasive, setting the stage for a whole new round of growth that will touch nearly every part of the semiconductor and software industries for decades to come. Robots are at the core of physical AI, a broad segment of edge AI systems that interact with the world through artificial intelligence and sensors. This includes everything from hum... » read more

Accelerating High-Lift Aerodynamics: Automated Meshing for CFD Excellence


High-lift aerodynamic prediction plays a crucial role in optimizing aircraft performance during takeoff and landing. Yet, capturing the intricacies of boundary layer separation, wake formation, and vortex interactions remains a formidable challenge in computational fluid dynamics (CFD). Learn how to address these hurdles with advanced, automated mesh generation tailored for high-fidelity simula... » read more

Blog Review: Dec. 3


Cadence's Reela Samuel notes that as multi-die integration becomes the new engine of semiconductor performance, the decision between 2.5D and 3D-IC architectures shapes a design's achievable bandwidth, energy efficiency, thermal limits, system size, and even program schedules. Synopsys' Thomas Andersen suggests that the deployment of physical AI will require the fusion of advanced electronic... » read more

Optimizing AI Workloads For Edge Computing


Experts At The Table: Semiconductor Engineering gathered a group of experts to discuss how some AI workloads are better suited for on-device processing to achieve consistent performance, avoid network connectivity issues, reduce cloud computing costs, and ensure privacy. The panel included Frank Ferro, group director in the Silicon Solutions Group at Cadence; Eduardo Montanez, vice president an... » read more

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