PIO on Current HW Outperforms DMA Over a Range of Payload Sizes In A Number of Different Applications (ETH Zurich)


A new technical paper titled "Rethinking Programmed I/O for Fast Devices, Cheap Cores, and Coherent Interconnects" was published by researchers at ETH Zurich. Abstract: "Conventional wisdom holds that an efficient interface between an OS running on a CPU and a high-bandwidth I/O device should be based on Direct Memory Access (DMA), descriptor rings, and interrupts: DMA offloads transfers fr... » read more

Survey: HW SW Co-Design Approaches Tailored to LLMs


A new technical paper titled "A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models" was published by researchers at Duke University and Johns Hopkins University. Abstract "The rapid development of large language models (LLMs) has significantly transformed the field of artificial intelligence, demonstrating remarkable capabilities in natural language proce... » read more

Lightweight, High-Performance CPU Extension for Protected Key Handles with CPU-Enforced Usage (CISPA, Ruhr Univ. Bochum)


A new technical paper titled "KeyVisor -- A Lightweight ISA Extension for Protected Key Handles with CPU-enforced Usage Policies" was published by researchers at CISPA Helmholtz Center for Information Security and Ruhr University Bochum. Abstract "The confidentiality of cryptographic keys is essential for the security of protection schemes used for communication, file encryption, and outsou... » read more

Multi-Node, Virtualized Neuromorphic Architecture


A new technical paper titled "NeuroVM: Dynamic Neuromorphic Hardware Virtualization" was published by researchers at Stanford University, UT Austin and Temsa Research & Development Center. Abstract "This paper introduces a novel approach in neuromorphic computing, integrating heterogeneous hardware nodes into a unified, massively parallel architecture. Our system transcends traditional ... » read more

Review Paper: Challenges Required To Bring the Energy Consumption Down in Microelectronics (Rice, UC Berkeley, Georgia Tech, Et al.)


A new review article titled "Roadmap on low-power electronics" by researchers at Rice University, UC Berkeley, Georgia Tech, TSMC, Intel, Harvard, et al. This roadmap to energy efficient electronics written by numerous collaborators covers materials, modeling, architectures, manufacturing, metrology and more. Find the technical paper here. September 2024. Ramamoorthy Ramesh, Sayeef Sal... » read more

Gold Substrate Plays Boosts Performance of Tellurium-Based Memristors


A new technical paper titled "Non-Volatile Resistive Switching in Nanoscaled Elemental Tellurium by Vapor Transport Deposition on Gold" was published by researchers at Politecnico di Milano, UT Austin, and STMicroelectronics. Abstract: "Two-dimensional (2D) materials are promising for resistive switching in neuromorphic and in-memory computing, as their atomic thickness substantially impr... » read more

Fine-Grained Functional Partitioning For Low Level SRAM Cache in 3D-IC designs (imec)


A new technical paper titled "Towards Fine-grained Partitioning of Low-level SRAM Caches for Emerging 3D-IC Designs" was published by researchers at imec. "We propose a partitioning of low-level (faster access) caches in 3D using an Array Under CMOS (AuC) technology paradigm. Our study focuses on partitioning and optimization of SRAM bit-cells and peripheral circuits, enabling heterogeneous ... » read more

Memristors: Flexible Behavioral Model ( Israel Institute of Technology)


A new technical paper titled "VVTEAM: A Compact Behavioral Model for Volatile Memristors" was published by researchers at Technion – Israel Institute of Technology. Abstract "Volatile memristors have recently gained popularity as promising devices for neuromorphic circuits, capable of mimicking the leaky function of neurons and offering advantages over capacitor-based circuits in terms of... » read more

Novel NorthPole Architecture Enables Low-Latency, High-Energy-Efficiency LLM inference (IBM Research)


A new technical paper titled "Breakthrough low-latency, high-energy-efficiency LLM inference performance using NorthPole" was published by researchers at IBM Research. At the IEEE High Performance Extreme Computing (HPEC) Virtual Conference in September 2024, new performance results for their AIU NorthPole AI inference accelerator chip were presented on a 3-billion-parameter Granite LLM. ... » read more

Hardware Acceleration Approach for KAN Via Algorithm-Hardware Co-Design


A new technical paper titled "Hardware Acceleration of Kolmogorov-Arnold Network (KAN) for Lightweight Edge Inference" was published by researchers at Georgia Tech, TSMC and National Tsing Hua University. Abstract "Recently, a novel model named Kolmogorov-Arnold Networks (KAN) has been proposed with the potential to achieve the functionality of traditional deep neural networks (DNNs) using ... » read more

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