No Fooling With Voxel Pooling


A variety of new and complicated transformer models have emerged in the past 18 to 24 months as new “must have” networks in advanced automotive use cases. These novel architectures often introduce new network operators or novel ways of combining tensors – often from different types of sensors – in ways to enhance detection and recognition of objects in L3 / L4 / L5 ADAS and autonomous d... » read more

Controlling Leakage Power


IC designers face a significant challenge in managing leakage power - a phenomenon that can profoundly impact your device's power, performance, area (PPA), and overall reliability. Leakage can occur in various ways, from parasitic leakage to analog gate leakage or digital gate leakage, and you must address these issues with great care, as even subtle circuit changes can lead to reliability prob... » read more

Vision Language Models Come Rushing In


Just when you thought the pace of change of AI models couldn’t get any faster, it accelerates yet again. In the popular news media, the introduction of DeepSeek in January 2025 created a moment that captured headlines in every newspaper and website heralding comparisons to the Sputnik moment of 1957. But rapid change is also happening in many quarters that are hidden from view of the Chat-App... » read more

Optimizing Data Center TCO With CXL And Compression


In the ever-evolving landscape of data centers, Total Cost of Ownership (TCO) remains a critical metric. It encompasses all costs associated with data center infrastructure throughout its lifecycle, including initial purchase, installation, utilization, maintenance, energy consumption, and eventual replacement. By understanding and optimizing TCO, hyperscalers can make informed decisions that e... » read more

How SPDM Can Drive Digital Transformation


While simulation has proven to help companies develop better products faster and more efficiently, it also produces copious amounts of data. Simulation process data management (SPDM) solutions further accelerate and improve the approach to product development and serve as the cornerstone for implementing and optimizing the digital thread in modern product development. Ansys subject matter ex... » read more

Symmetric Multiprocessing (SMP) RTOS On Xtensa Multicore


An increasing number of multi-threaded embedded applications want to leverage multicore designs. Symmetric Multiprocessing (SMP) RTOS provides automatic load balancing of multiple threads in a multicore environment. Also, numerous legacy multi-threaded embedded applications are deployed on a single-core RTOS that customers want to move to a multicore environment. For these reasons, application ... » read more

Building Vision-Enabled Devices To Capture The Emerging Wave In IoT


The evolution of vision (the eye) is considered one of the most significant events in the history of life on Earth. 540 million years ago, during the Cambrian period, there was a sudden burst of evolutionary activity that resulted in the appearance of a variety of new species. Many of these species were characterized by the development of an eye which allowed them to perceive and interact with ... » read more

Advanced Packaging: A Curse Or A Blessing For Trustworthiness?


In recent years, the issue of trustworthiness in electronics has become increasingly important, especially in areas where security is of the essence such as the automotive sector, industry, and critical infrastructure. These sectors depend on electronic systems that are not only powerful but also absolutely reliable and, above all, secure. This represents a major challenge, as the increasing co... » read more

How Ultra Ethernet And UALink Enable High-Performance, Scalable AI Networks


By Ron Lowman and Jon Ames AI workloads are significantly driving innovation in the interface IP market. The exponential increase in AI model parameters, doubling approximately every 4-6 months, stands in stark contrast to the slower pace of hardware advancements dictated by Moore's Law, which follows an 18-month cycle. This discrepancy demands hardware innovations to support AI workloads, c... » read more

Choosing The Right Memory Solution For AI Accelerators


To meet the increasing demands of AI workloads, memory solutions must deliver ever-increasing performance in bandwidth, capacity, and efficiency. From the training of massive large language models (LLMs) to efficient inference on endpoint devices, choosing the right memory technology is critical for chip designers. This blog explores three leading memory solutions—HBM, LPDDR, and GDDR—and t... » read more

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