Time-of-Flight Decoding Enhanced By Tensilica Vision DSPs


Time-of-Flight (ToF) technology has become a vital tool for precise depth perception in computer vision, driving innovation across diverse applications such as autonomous systems and medical equipment. Efficient processing of ToF data is paramount for realizing this technology’s full potential. This document highlights how Cadence's Tensilica Vision DSP architecture is significantly adv... » read more

What’s Different About HBM4


Memory bandwidth is limiting the flow of huge datasets that are needed to train AI models. There is much more data to process, store, and retrieve, but the speed at which that data moves through high-bandwidth memory (HBM) stacks is significantly lower than the speed at which data can be processed. Frank Ferro, group director for product management at Cadence, talks about the new HBM4 standard,... » read more

Chip Industry Week in Review


Apple plans to increase its U.S. investment by an additional $100 billion over four years, which includes the launch of an advanced manufacturing supply chain program, spurring a number of related chip industry announcements, including: Apple will invest in Amkor's new packaging and test facility in Arizona as its first and largest customer, and Amkor will package and test Apple silicon pr... » read more

Scalable I/O Virtualization: A Deep Dive Into PCIe’s Next Gen Virtualization


The demands of modern cloud computing—massive scale, constant agility, and tight security—are pushing traditional I/O virtualization to its limits. While SR-IOV (Single Root I/O Virtualization) was a foundational technology, it wasn't built for the high-density, multi-tenant environments common today. To meet this challenge, the PCIe specification has evolved with Scalable I/O Virtualiza... » read more

AI Drives More Realistic Gaming


Video games are utilizing artificial intelligence to create increasingly realistic scenarios and interactions, enabled by big increases in processing horsepower and memory, and significantly faster data movement. GPUs, once confined to graphics rendering, are now also being deployed across a wide range of AI tasks, generating more realistic non-player characters, dynamic worlds, personalized... » read more

Agentic AI: Lots Of Little Black Boxes


AI is changing so quickly that it's not always clear how much of a security threat it poses for semiconductor design, and that uncertainty increases as AI agents are introduced into the mix. So far, the use of AI in chip design has been highly targeted. Most of what is included in design tools is some version of machine learning, bounded by tight control loops. EDA and IP vendors, large chip... » read more

SDVs And AI Forcing Big Changes In Automotive


The automotive industry is undergoing a fundamental transformation that includes everything from software-defined vehicles, the injection of AI into nearly every facet of the design and use case of a vehicle, and a complete overhaul of traditional relationships between different tiers and OEMs. The switch to software-defined vehicles is a top priority for the automotive ecosystem. It enables... » read more

Blog Review: Aug. 6


Cadence's Shyam Sharma checks out key features of the LPDDR6 specification, including data transfer speeds that can reach up to 14.4Gbps, two sub-channels per device, metadata built into the data packets, and row hammer mitigation. Synopsys' Frank Malloy and Vincent van der Leest describe the essential role that a hardware root of trust plays in providing a secure foundation for all other se... » read more

Chip Industry Week in Review


The U.S. government announced new import tariff actions and deals this week, including: The EU: 15% tariff on most goods including semiconductors. According to the EU's president, the action excludes semiconductor equipment. Copper: 50% tariff on all imports of semi-finished copper products and intensive copper derivative products, effective Aug. 1, but raw input material is excluded. ... » read more

UEC-LLR: The Future Of Loss Recovery In Ethernet For AI And HPC


As Artificial Intelligence (AI) and High-Performance Computing (HPC) systems become the backbone of modern data centers, they generate and consume a massive amount of data. Traditional Ethernet was not built for such high-bandwidth traffic. In HPCs and AI models, computations are distributed across the nodes and the data is shared in real time with low latency and lossless communication. As ... » read more

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