Issues In Calculating Glitch Power


The amount of power consumed by redundant non-functional toggles, or glitch power, can be as high as 35% of total power consumption in a design. What can be done about that? Godwin Maben, low-power architect and scientist at Synopsys, takes a deep dive into the causes of glitch, how it is affected by new process nodes and heterogeneous integration, and the impact of different workloads, higher ... » read more

AI Testing AI: The Future Of 6G Test


The impending arrival of 6G technology promises to revolutionize the way we connect and communicate. With expected data rates of up to 100 times faster than 5G, 6G is poised to enable unprecedented applications, from augmented reality (AR) and virtual reality (VR) to real-time remote surgery and autonomous vehicles with ubiquitous connectivity. A significant facet of 6G's potential lies in the ... » read more

Delivering Real-Time Analytics To Semiconductor Test


As defined by Moore’s Law, the semiconductor field has been growing at a steady pace since the 1960s. Concurrent with this progression, semiconductors are becoming more complex, densely integrated, and expensive to produce. While such advancements pose new challenges to semiconductor manufacturing, we can extend Moore’s Law well into the future by reimagining the way we approach the semicon... » read more

How Much AI Is Really Needed?


Tensor Core GPUs have created a generative AI model gold rush. Whether it’s helping students with math homework, planning a vacation, or learning to prepare a six-course meal, generative AI is ready with answers. But that's only one aspect of AI, and not every application requires it. AI — now an all-inclusive term, referring to the process of using algorithms to learn, predict, and make... » read more

Software Stack For Edge AI Performance


Developing an agile software stack is important for successful AI deployment on the edge. We regularly encounter new machine learning models created from multiple AI frameworks that leverage the latest primitives and state-of-the-art ML model topologies. This Cambrian explosion has resulted from a fertile open-source community that has embraced AI and is now fueling a wide proliferation of ML m... » read more

Application-Optimized Processors


Executing a neural network on top of an NPU requires an understanding of application requirements, such as latency and throughput, as well as the potential partitioning challenges. Sharad Chole, chief scientist and co-founder of Expedera, talks about fine-grained dependencies, why processing packets out of order can help optimize performance and power, and when to use voltage and frequency scal... » read more

Accelerating Analog Design Migration


Today’s electronic chips are commonly comprised of a mix of analog, RF, and digital components, with increasing functionalities, complexities, and numbers of transistors reaching the trillions. While the digital side of the house can take advantage of automated design implementation tools, the analog world has always been more about doing things manually and in a very “custom” way—which... » read more

Network-on-Chips Enabling Artificial Intelligence/Machine Learning Everywhere


Recently, I attended the AI HW Summit in Santa Clara and Autosens in Brussels. Artificial intelligence and machine learning (AI/ML) were critical themes for both events, albeit from different angles. While AI/ML as a buzzword is very popular these days in all its good and bad ways, in discussions with customers and prospects, it became clear that we need to be precise in defining what type of A... » read more

IBM’s Energy-Efficient NorthPole AI Unit


At this point it is well known that from an energy efficiency standpoint, the biggest bang for the back is to be found at the highest levels of abstraction. Fitting the right architecture to the task at hand i.e., an application specific architecture, will lead to benefits that are hard or impossible to claw back later in the design and implementation flow.  With the huge increase in the inter... » read more

Thoughts On AI Consciousness


By Anda Ioana Enescu Buyruk and Catalin Tudor The rapid advancement of artificial intelligence (AI) has sparked profound discussions regarding the possibility of AI systems achieving consciousness. Such a development carries immense implications, forcing us to redirect our focus from studying the behavior of other organisms to scrutinizing ourselves. This article will delve into the concept ... » read more

← Older posts Newer posts →