Chip Industry Week in Review


Check out the Inside Chips podcast for our behind-the-scenes analysis. Newly proposed U.S. legislation called the Chip Security Act would use location verification tracking as a tool to help combat chip smuggling. This follows a report by the Economist that showed Taiwan exports of advanced chips to Malaysia in the first quarter has nearly reached 2024 totals, heightening concerns that China... » read more

Deploying PyTorch Models On Edge Devices


AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems because of their low power consumption and efficiency. This tutorial shows you how to deploy PyTorch models on Arm edge devices, such as the Raspberry Pi or NVIDIA Jetson Nano. Prerequisites Before y... » read more

Die-to-die Interconnect Standards In Flux


UCIe, a standard for die-to-die interconnect in advanced packages, has drawn concern about being too heavyweight with its 2.0 release. But the fact that many of the new features are optional seems to have been lost in much of the public discussion. In fact, new capabilities that support a possible future chiplet marketplace are not required for designs that don’t target that marketplace. ... » read more

AI Accelerators Moving Out From Data Centers


Experts At The Table: The explosion in AI data is driving chipmakers to look beyond a single planar SoC. Semiconductor Engineering sat down to discuss the need for more computing and the expanding role of chiplets with Marc Meunier, director of ecosystem development at Arm; Jason Lawley, director of product marketing for AI IP at Cadence; Paul Karazuba, vice president of marketing at Expedera; ... » read more

Effects Of Hardware Prefetchers For Scientific Application Kernels Running on High-End Processors


A new technical paper titled "Memory Prefetching Evaluation of Scientific Applications on A Modern HPC Arm-based Processor" was published by researchers at Jülich Supercomputing Centre and KTH Royal Institute of Technology. Abstract "Memory prefetching is a well-known technique for mitigating the negative impact of memory access latencies on memory bandwidth. This problem has become more p... » read more

Report: The Future of AI Processing


AI is now emerging in everyday use cases thanks to advances in foundational models, powerful chip technology, and abundant data. As a result, new approaches in AI compute are required to deploy these advanced use cases with minimal effort. This report features insights on how to move AI forward from industry leaders at AWS, Meta, Samsung and Arm, and includes research from MIT Technology Rev... » read more

Blog Review: May 14


Siemens’ Stephen V. Chavez finds that proper PCB high voltage spacing between conductive elements is key to reliability and understanding the principles of clearance (through-air spacing) and creepage (along-surface spacing) is critical. Cadence’s Frank Ferro checks out how the new HBM4 standard boosts bandwidth and addresses key issues in the data center, including the growing size of L... » read more

Chip Industry Week in Review


Check out the Inside Chips podcast for our behind-the-scenes analysis. The U.S. government is rescinding a Biden-era AI export rule that would have imposed complex restrictions on how U.S. chip and AI technology is sold abroad, a move welcomed by companies like Nvidia, reports Bloomberg. While new, simpler guidelines are expected in the coming months, the decision introduces short-term uncer... » read more

Blog Review: May 7


Cadence’s Mayank Bhatnagar examines the challenge of ensuring the functional safety of disaggregated designs and how UCIe can serve as a certified way to connect individual components. Siemens’ Charlie Olson explores the causes of inter-domain leakage when a DC path is formed between two power rails and how to overcome the limitations of traditional electrical rule checking. Synopsys�... » read more

Smarter Cars, Higher Stakes


Artificial intelligence is turbocharging automotive innovation, but it's also unleashing a tangle of high stakes risks that engineers and security experts are scrambling to contain. The push to embed AI deep into today’s vehicles is changing how cars are built, how they handle the road, and how they keep passengers safe. But as onboard intelligence expands, so do the risks. AI systems that... » read more

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