Research
Deeploy: Enabling Energy-Efficient Deployment of Small Language Models On Heterogeneous Microcontrollers
Abstract
Deeploy is a novel Deep Neural Network (DNN) compiler enabling the energy-efficient, end-to-end deployment of Small Language Models (SLMs) directly onto heterogeneous microcontroller (MCU) class chips without relying on external high-bandwidth memory.
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AI then and now - Jon Peddie Research
Abstract
The Jon Peddie Research article, "AI then and now," provides a historical overview, contrasting the computational challenges and theoretical foundations of early Artificial Intelligence with modern implementations. It details how
Research
AI then and now - Jon Peddie
Abstract
Jon Peddie's analysis traces the history of Artificial Intelligence, contrasting early symbolic AI efforts with the current paradigm shift driven by Deep Learning and massive computational power. The article highlights
Research
Toward Attention-based TinyML: A Heterogeneous Accelerated Architecture and Automated Deployment Flow
Abstract
This work addresses the difficulty of running modern Attention-based Transformer models in resource-constrained Tiny Machine Learning (tinyML) environments. The authors introduce a heterogeneous RISC-V architecture, featuring an octa-core cluster coupled with a
Research
Functional ISS-Driven Verification of Superscalar RISC-V Processors
Abstract
This paper introduces SupeRFIVe, a novel methodology designed for the time-efficient and comprehensive functional verification of complex superscalar processors. SupeRFIVe leverages an Instruction Set Simulator (ISS) as a golden reference, interfacing with
Research
Switchboard: An Open-Source Framework for Modular Simulation of Large Hardware Systems
Abstract
The Switchboard open-source framework addresses the design bottleneck of simulating massive hardware systems by proposing a modular approach based on latency-insensitive interfaces. It achieves high throughput and rapid build times by utilizing