1 Megawatt Racks In Data Centers


The demand for performance in an AI data center is causing a huge spike in the amount of power being consumed. Within a rack are a half-dozen SoC components housed in different types of advanced packages and connected with an assortment of blazing-fast interface IP and optical signaling. Manmeet Walia, director of product management for mixed-signal PHY IP in the Synopsys Solutions Group, talks... » read more

Hardware Technologies And Algorithms for Vector Symbolic Architectures (Purdue Univ., Georgia Tech)


A new technical paper titled "Cross-Layer Design of Vector-Symbolic Computing: Bridging Cognition and Brain-Inspired Hardware Acceleration" was published by researchers at Purdue University and Georgia Institute of Technology. Abstract "Vector Symbolic Architectures (VSAs) have been widely deployed in various cognitive applications due to their simple and efficient operations. The widesprea... » 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

Design Space for the Device-Circuit Codesign of NVM-Based CIM Accelerators (TSMC)


A new technical paper/mini-review titled "Assessing Design Space for the Device-Circuit Codesign of Nonvolatile Memory-Based Compute-in-Memory Accelerators" was published by researchers at TSMC and National Tsing Hua University. Abstract "Unprecedented penetration of artificial intelligence (AI) algorithms has brought about rapid innovations in electronic hardware, including new memory devi... » read more

New AI Processors Architectures Balance Speed With Efficiency


Leading AI systems designs are migrating away from building the fastest AI processor possible, adopting a more balanced approach that involves highly specialized, heterogeneous compute elements, faster data movement, and significantly lower power. Part of this shift revolves around the adoption of chiplets in 2.5D/3.5D packages, which enable greater customization for different workloads and ... » read more

Chiplet Heterogeneity And Advanced Scheduling With Pipelining


A technical paper titled “Inter-Layer Scheduling Space Exploration for Multi-model Inference on Heterogeneous Chiplets” was published by researchers at University of California Irvine. Abstract: "To address increasing compute demand from recent multi-model workloads with heavy models like large language models, we propose to deploy heterogeneous chiplet-based multi-chip module (MCM)-based... » read more

Ferroelectric Tunnel Junctions In Crossbar Array Analog In-Memory Compute Accelerators


A technical paper titled “Ferroelectric Tunnel Junction Memristors for In-Memory Computing Accelerators” was published by researchers at Lund University. Abstract: "Neuromorphic computing has seen great interest as leaps in artificial intelligence (AI) applications have exposed limitations due to heavy memory access, with the von Neumann computing architecture. The parallel in-memory comp... » read more

Is RISC-V Ready For Supercomputing?


RISC-V processors, which until several years ago were considered auxiliary processors for specific functions, appear to be garnering support for an entirely different type of role — high-performance computing. This is still at the discussion stage. Questions remain about the software ecosystem, or whether the chips, boards, and systems are reliable enough. And there are both business and t... » read more

A Minimal RISC-V


Microcontrollers exist in almost everything, but can RISC-V satisfy the needs of this market? Is it small enough to replace 8-bit processors? What might help people migrate to a more modern processor architecture? RISC-V defines a 32-bit processor instruction set architecture (ISA) that is open source and free to be implemented in any number of ways. It is touted for being a very small and e... » read more

Is Programmable Overhead Worth The Cost?


Programmability has fueled the growth of most semiconductor products, but how much does it actually cost? And is that cost worth it? The answer is more complicated than a simple efficiency formula. It can vary by application, by maturity of technology in a particular market, and in the context of much larger systems. What's considered important for one design may be very different for anothe... » read more

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