Predictable Design Optimization And Closure With Adaptive Scenario Compression


Modern semiconductor chip design faces growing complexity due to numerous timing scenarios driven by varying operating conditions and physical effects. This complexity is especially pronounced in mobile and automotive chips, which require optimization across diverse performance and reliability demands. Designers currently focus on a limited subset of scenarios to manage computational load, but ... » read more

Future Architecture Technologies: POE2 And vMTE


Future Architecture Technologies are features being developed for currently unreleased versions of the Arm architecture. Arm provides the ecosystem with relevant information and specifications in advance, ensuring software support for when new technologies are realized in hardware. This blog introduces two future technologies: Permission Overlay Extension version 2 (POE2), and Virtual T... » read more

PCIe Low-Power Validation Challenges And Potential Solutions


As chip complexities increase and the industry evolves to more battery-powered devices, power-aware/consumption research becomes an integral part of design in the industry. Low power is crucial in ASIC applications to ensure longevity, durability, and reliability. PCI-SIG has focused on reducing power consumption while the PCIe interface is active to enable better platform power management (... » read more

The Future Of Digital Engineering In The Age Of AI


Digital engineering gives innovators creative agency to test the limits of their ideas in a virtual environment. It is in this convergence of digital technologies, data-driven models, and advanced simulations where new designs are born at unprecedented levels of speed and accuracy. Adding artificial intelligence (AI) into the mix further accelerates innovation by unlocking opportunities to a... » read more

Unlocking Clarity: Keyphrase Trees Bring Structure To AI Text Analysis


By Amr Hegazy, Mohamed Abdelkarim, and Reem El Adawi In the vast digital landscape of information, from intricate design specifications to extensive patent literature and complex verification reports, extracting meaningful insights often feels like searching for a needle in a haystack. This challenge is particularly acute in the semiconductor industry, where critical details are buried with... » read more

Advanced Packaging: A Key Technology For The Next Generation Of Electronics


In recent years, advanced packaging has become much more important. While semiconductor manufacturers used to focus primarily on miniaturization and increasing the performance of individual chips, the focus is increasingly shifting to the system level: How can processor cores, memory, sensors, and wireless modules be integrated as efficiently, compactly, and powerfully as possible within a sing... » read more

Integrated Modular Firmware Solutions: A Vital Component Of Custom Silicon Chiplet Architecture Designs


By Marc Meunier and Srini Narayana The shift from monolithic SoC designs to chiplet-based architecture isn’t just a packaging innovation. It’s a fundamental rethinking of how custom silicon is designed, manufactured, and deployed. This transition is driven by the growing impracticality of scaling large monolithic dies at advanced nodes. As die sizes increase, so do the costs, yield ri... » read more

Achieving Reliable 2m+ DAC Connectivity For AI Scale Networks With 224G PHY IP


As artificial intelligence workloads and hyperscale data centers continue to evolve, the requirements for networking infrastructure are becoming increasingly stringent. High-speed, reliable connectivity is essential to support the massive data flow and low-latency demands of AI-scale environments. Passive direct attach copper (DACs) remains an attractive choice for hyperscalers and system vendo... » read more

GDDR7 Tackles Massive-Context AI Inference


The AI hardware landscape is evolving at breakneck speed, and memory technology is at the heart of this transformation. NVIDIA’s recent announcement of Rubin CPX, a new class of GPU purpose-built for massive-context inference, underscores this trend. Rubin CPX is designed to tackle workloads that require reasoning across millions of tokens. Use cases include long-form generative video, comple... » read more

Overflowing Zoo: The Power Of Compilers


The term “model zoo” first gained prominence in the world of Artificial Intelligence/Machine Learning (AI/ML) beginning in the 2016-2017 timeframe. Originally used to describe open-source public repositories of working AI models — the most prominent of which today is Hugging Face — the term has since been adopted by nearly all vendors of AI chips and licensable Neural Processors Units (... » read more

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