Accelerating Verification Of Computational Storage Designs Using Avery NVMe Verification IP


Computational storage is an emerging paradigm that integrates processing capabilities directly within storage devices. This paper outlines how this approach addresses the limitations of traditional NVM Express (NVMe) SSDs and the performance characteristics of the newly introduced compute and subsystem local memory (SLM) namespaces. The paper also focuses on the verification framework provided ... » read more

New AI Data Types Emerge


AI is all about data, and the representation of the data matters strongly. But after focusing primarily on 8-bit integers and 32‑bit floating-point numbers, the industry is now looking at new formats. There is no single best type for every situation, because the choice depends on the type of AI model, whether accuracy, performance, or power is prioritized, and where the computing happens, ... » read more

Powering Mechanical Simulations: AMD Vs. Intel


When selecting the right central processing unit (CPU) for optimizing Ansys Mechanical structural finite element analysis (FEA) software performance, there are two major players to consider: Intel and AMD. Both have made significant advancements in recent years, but choosing between them depends on several factors that directly affect simulation speeds, scalability, and overall performance fo... » read more

Analysis And Design Of Dual-Layer TFTs (Oregon State Univ., Applied Materials)


A new technical paper titled "Dual-Layer Thin-Film Transistor Analysis and Design" was published by researchers at Oregon State University and Applied Materials. Abstract "A set of analytical equations is formulated for the analysis and design of a dual-layer thin-film transistor (TFT). For a given TFT structure, in which each channel layer thickness is specified, drain current is calculate... » read more

Distributed Shared Memory That Enlarges Effective Memory Capacity Through Intelligent Tiered DRAM and Storage Management (IIT)


A new technical paper titled "MegaMmap: Blurring the Boundary Between Memory and Storage for Data-Intensive Workloads" was published by researchers at Illinois Institute of Technology. "In this work, we propose MegaMmap: a software distributed shared memory (DSM) that enlarges effective memory capacity through intelligent tiered DRAM and storage management. MegaMmap provides workload-aware d... » read more

Dedicated 3D Accelerator Specifically Designed For Emerging Spiking Transformers


A new technical paper titled "Spiking Transformer Hardware Accelerators in 3D Integration" was published by researchers at UC Santa Barbara, Georgia Tech and Burapha University. "Recognizing the current lack of dedicated hardware support for spiking transformers, this paper presents the first work on 3D spiking transformer hardware architecture and design methodology. We present an architect... » read more

A Comprehensive Guide to Understanding AI Inference on the CPU


As AI continues to revolutionize industries, new workloads, like generative AI, inspire new use cases, the demand for efficient and scalable AI-based solutions has never been greater. While training often garners attention, inference—the process of applying trained models to new data—is essential for AI workloads, whether they are running in the cloud, or enabling real-world applications at... » read more

How to Accelerate Multiphysics Simulation Software with Turnkey Hardware Systems


Complicated problems take longer to solve. In engineering, it’s a given that simulation drastically accelerates the development cycle, enabling engineers to digitally test ideas and optimize products exponentially faster than physical testing. However, today’s complex products and systems require simulation of many different physics—the thermal, structural, and electromagnetic forces in a... » read more

RISC-V’s Software Portability Challenge


Experts At The Table: RISC-V provides a platform for customization, but verifying those changes remains challenging. Semiconductor Engineering discussed the issue with John Min, vice president of customer service at Arteris; Zdeněk Přikryl, CTO of Codasip; Neil Hand, director of marketing at Siemens EDA (at the time of this discussion); Frank Schirrmeister, executive director for strategi... » read more

Chiplets for Future Automotive Application


Abstract Autonomous vehicles and associated ADAS systems are driving vehicle electronics content to unprecedented levels. These systems require significant processing power via a centralized system. Chiplets are one solution to distribute functionality on different technologies and can help to secure the supply chain and reduce rising development costs in advanced IC nodes. This traditionally ... » read more

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