Processor Tradeoffs For AI Workloads


AI is forcing fundamental shifts in chips used in data centers and in the tools used to design them, but it also is creating gaps between the speed at which that technology advances and the demands from customers. These shifts started gradually, but they have accelerated and multiplied over the past year with the rollout of ChatGPT and other large language models. There is suddenly much more... » read more

MRAM Getting More Attention At Smallest Nodes


Magneto-resistive RAM (MRAM) appears to be gaining traction at the most advanced nodes, in part because of recent improvements in the memory itself and in part because new markets require solutions for which MRAM may be uniquely qualified. There are still plenty of skeptics when it comes to MRAM, and lots of potential competitors. That has limited MRAM to a niche role over the past couple de... » read more

Cleaning Marine Geometries Has Never Been Easier


Ship designers and naval architects increasingly use computational fluid dynamics (CFD) tools for more accurate solutions, detailed physics, and quicker results. Marine ship design studies in the past relied mainly on scaled-down models in towing tanks for insights into ship resistance, seakeeping, propulsion, and maneuvering. However, these models had discrepancies in their Reynolds and Fro... » read more

Blog Review: Aug. 9


Synopsys' John Swanson and Manmeet Walia note that designing for 224G Ethernet will entail some unique considerations, as design margins will be extremely tight, making it mission-critical to optimize individual analog blocks to reduce impairments. Cadence's Rick Sanborn finds that knowing how best to debug common partitioning-related issues and implicitly control them using common features ... » read more

Chiplets: Deep Dive Into Designing, Manufacturing, And Testing


Chiplets are a disruptive technology. They change the way chips are designed, manufactured, tested, packaged, as well as the underlying business relationships and fundamentals. But they also open the door to vast new opportunities for existing chipmakers and startups to create highly customized components and systems for specific use cases and market segments. This LEGO-like approach sounds ... » read more

Week In Review: Auto, Security, Pervasive Computing


Hyundai, Samsung Catalyst Fund, and others invested a combined $100 million in Canada-based Tenstorrent to accelerate the design and development of AI chiplets and machine-learning software and allow the integration of AI into future Hyundai, Kia, and Genesis vehicles, plus other future mobilities such as robotics and advanced air mobility (AAM). The National Highway Traffic Safety Administr... » read more

Week In Review: Design, Low Power


Qualcomm, NXP, Infineon, Nordic, and Bosch are jointly investing in a new RISC-V company, to be formed in Germany, that will speed up RISC-V’s adoption in commercial products. The company will be “a single source to enable compatible RISC-V based products, provide reference architectures, and help establish solutions widely used in the industry,” according to a press release. The co... » read more

AI Transformer Models Enable Machine Vision Object Detection


The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the models and simplify their development. Over the years, many AI models have been introduced, including YOLO, Faster R-CNN, Mask R-CNN, RetinaNet, and others, to detect images or video signals, interp... » read more

Creating IP In The Shadow Of ISO 26262


On many levels, designing IP for the automotive sector is similar to targeting aerospace or medical devices — human lives are at risk if something goes wrong, and the list of regulations is significant. In practice, it can turn an interesting chip design project into a complex and often frustrating checklist exercise. In the case of ISO 26262, that includes a 12-part standard for automotiv... » read more

Boost Your CFD Workflow Productivity With An API: Part 1


If you're in the field of computational fluid dynamics testing or studies, you already know how much time and effort it takes to complete the tasks involved. Hours upon hours are spent on geometry clean-up, meshing, and post-processing. Furthermore, when you're dealing with similar models that have new constraints or dimensions, the work can feel tedious. But don't worry! There’s a way to sim... » read more

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