Media Summary: In this video, our research work is presented: “RAMAN: Resource-efficient ApproxiMate Posit Processing for Dr. Vivienne Sze is an associate professor in the EECS department at MIT. Vivienne is recognized for her leading work on ... AI workloads, spanning edge intelligence to large language models (LLMs), are placing unprecedented demands on computing ...
An Algorithm Hardware Co Design - Detailed Analysis & Overview
In this video, our research work is presented: “RAMAN: Resource-efficient ApproxiMate Posit Processing for Dr. Vivienne Sze is an associate professor in the EECS department at MIT. Vivienne is recognized for her leading work on ... AI workloads, spanning edge intelligence to large language models (LLMs), are placing unprecedented demands on computing ... Webinar Archive – Now Available! In this webinar, Prof. Priyadarshini (Priya) Panda, from the Intelligent Computing Lab at Yale ... Presentation at FCCM 2020. Authors: Michael Lo, Zhenman Fang, Jie Wang, Peipei Zhou, Mau-Chung Frank Chang and Jason ... Abstract: As the silicon technology approaches the Post-Moore's Law Era,
AI is reshaping every workflow, and the breakthrough enabling this shift is extreme The shift toward multi-core processors is the most obvious implication of a greater trend toward efficient computing. In the past ... More accurate machine-learning requires larger models – but large models pose problems both in the training and inference ... Keynote by Prof. Deming Chen, UIUC (VAST Lab Alumni) at ROAD4NN Workshop. Originally posted at ... IEEE Communication Society (ComSoc) New York Chapter Seminar Tuesday Nov 30, 2021 7pm – 8pm Eastern Time (US ... This talk was part of SNUFA 2022. See more at
Algorithm Hardware & Core Design 10xTalks This talk is part of the Scientific Machine Learning Research Talks (SMaRT) Seminar Series, a joint initiative between Johns ...
![Hardware-Software Co-Design for General-Purpose Processors [1/14]](https://i.ytimg.com/vi/ZyPT9ZGiRgo/mqdefault.jpg)
