Media Summary: In this video, our research work is presented: “RAMAN: Resource-efficient ApproxiMate Posit Processing for IEEE Communication Society (ComSoc) New York Chapter Seminar Tuesday Nov 30, 2021 7pm – 8pm Eastern Time (US ... Webinar Archive – Now Available! In this webinar, Prof. Priyadarshini (Priya) Panda, from the Intelligent Computing Lab at Yale ...

Algorithm And Hardware Co Design - Detailed Analysis & Overview

In this video, our research work is presented: “RAMAN: Resource-efficient ApproxiMate Posit Processing for IEEE Communication Society (ComSoc) New York Chapter Seminar Tuesday Nov 30, 2021 7pm – 8pm Eastern Time (US ... Webinar Archive – Now Available! In this webinar, Prof. Priyadarshini (Priya) Panda, from the Intelligent Computing Lab at Yale ... Keynote by Prof. Deming Chen, UIUC (VAST Lab Alumni) at ROAD4NN Workshop. Originally posted at ... 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 ...

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 ... Session III: Edge Computing Technology & Applications Title: " AI is reshaping every workflow, and the breakthrough enabling this shift is extreme This talk is part of the Scientific Machine Learning Research Talks (SMaRT) Seminar Series, a joint initiative between Johns ... 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, Algorithm Hardware & Core Design 10xTalks Abstract: Autonomous navigation of drones and robots require several key functions, such as visual perception, localization, ... Professor: Deming Chen Abel Bliss Professor of Engineering Electrical and Computer Engineering Department University of ...

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RAMAN: Resource-efficient ApproxiMate Posit Processing for Algorithm–Hardware Co-desigN
Algorithm and Hardware Co-Design for Energy-Efficient Deep Learning
Biologically Inspired Algorithm & Hardware Co-Design | Prof. Priya Panda (Yale University)
Elegant and Effective Co-design of Machine-Learning Algorithms and Hardware Accelerators  (ROAD4NN)
Ep 13: Energy-efficient Algorithm-hardware Co-design with Dr. Vivienne Sze, MIT
HiPEAC 2026 keynote 3: AI and hardware co-design: Taming quality, productivity, and reliability
Hardware-Software Co-Design for General-Purpose Processors  [1/14]
HiPEAC22 Keynote 1: Efficient Machine Learning: Algorithms-Hardware Co-design – Hai 'Helen' Li
Bo Yuan: "Algorithm and Hardware Co-Design for Efficient Deep Learning:Sparse and..."
How Extreme Hardware–Software Co-Design Is Driving the Future of AI Supercomputing
Bio-Inspired Algorithm & Hardware Co-Design for Efficient AI | Dr. Priya Panda | JHU-IITD SMaRT
Software Hardware Co-Design DA2 - Rolano A. Rebelo(2/2)
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RAMAN: Resource-efficient ApproxiMate Posit Processing for Algorithm–Hardware Co-desigN

RAMAN: Resource-efficient ApproxiMate Posit Processing for Algorithm–Hardware Co-desigN

In this video, our research work is presented: “RAMAN: Resource-efficient ApproxiMate Posit Processing for

Algorithm and Hardware Co-Design for Energy-Efficient Deep Learning

Algorithm and Hardware Co-Design for Energy-Efficient Deep Learning

IEEE Communication Society (ComSoc) New York Chapter Seminar Tuesday Nov 30, 2021 7pm – 8pm Eastern Time (US ...

Sponsored
Biologically Inspired Algorithm & Hardware Co-Design | Prof. Priya Panda (Yale University)

Biologically Inspired Algorithm & Hardware Co-Design | Prof. Priya Panda (Yale University)

Webinar Archive – Now Available! In this webinar, Prof. Priyadarshini (Priya) Panda, from the Intelligent Computing Lab at Yale ...

Elegant and Effective Co-design of Machine-Learning Algorithms and Hardware Accelerators  (ROAD4NN)

Elegant and Effective Co-design of Machine-Learning Algorithms and Hardware Accelerators (ROAD4NN)

Keynote by Prof. Deming Chen, UIUC (VAST Lab Alumni) at ROAD4NN Workshop. Originally posted at ...

Ep 13: Energy-efficient Algorithm-hardware Co-design with Dr. Vivienne Sze, MIT

Ep 13: Energy-efficient Algorithm-hardware Co-design with Dr. Vivienne Sze, MIT

Dr. Vivienne Sze is an associate professor in the EECS department at MIT. Vivienne is recognized for her leading work on ...

Sponsored
HiPEAC 2026 keynote 3: AI and hardware co-design: Taming quality, productivity, and reliability

HiPEAC 2026 keynote 3: AI and hardware co-design: Taming quality, productivity, and reliability

AI workloads, spanning edge intelligence to large language models (LLMs), are placing unprecedented demands on computing ...

Hardware-Software Co-Design for General-Purpose Processors  [1/14]

Hardware-Software Co-Design for General-Purpose Processors [1/14]

The shift toward multi-core processors is the most obvious implication of a greater trend toward efficient computing. In the past ...

HiPEAC22 Keynote 1: Efficient Machine Learning: Algorithms-Hardware Co-design – Hai 'Helen' Li

HiPEAC22 Keynote 1: Efficient Machine Learning: Algorithms-Hardware Co-design – Hai 'Helen' Li

More accurate machine-learning requires larger models – but large models pose problems both in the training and inference ...

Bo Yuan: "Algorithm and Hardware Co-Design for Efficient Deep Learning:Sparse and..."

Bo Yuan: "Algorithm and Hardware Co-Design for Efficient Deep Learning:Sparse and..."

Session III: Edge Computing Technology & Applications Title: "

How Extreme Hardware–Software Co-Design Is Driving the Future of AI Supercomputing

How Extreme Hardware–Software Co-Design Is Driving the Future of AI Supercomputing

AI is reshaping every workflow, and the breakthrough enabling this shift is extreme

Bio-Inspired Algorithm & Hardware Co-Design for Efficient AI | Dr. Priya Panda | JHU-IITD SMaRT

Bio-Inspired Algorithm & Hardware Co-Design for Efficient AI | Dr. Priya Panda | JHU-IITD SMaRT

This talk is part of the Scientific Machine Learning Research Talks (SMaRT) Seminar Series, a joint initiative between Johns ...

Software Hardware Co-Design DA2 - Rolano A. Rebelo(2/2)

Software Hardware Co-Design DA2 - Rolano A. Rebelo(2/2)

Software

Algorithm-Hardware Co-Design for BQSR Acceleration in Genome Analysis ToolKit

Algorithm-Hardware Co-Design for BQSR Acceleration in Genome Analysis ToolKit

Presentation at FCCM 2020. Authors: Michael Lo, Zhenman Fang, Jie Wang, Peipei Zhou, Mau-Chung Frank Chang and Jason ...

Efficient Algorithm-Hardware Co-Design Methodology for Quantized LLM Acceleration

Efficient Algorithm-Hardware Co-Design Methodology for Quantized LLM Acceleration

Abstract: As the silicon technology approaches the Post-Moore's Law Era,

Research Talk (DATE'2021) LogicNets: Co-Design for Extreme-Throughput Applications

Research Talk (DATE'2021) LogicNets: Co-Design for Extreme-Throughput Applications

Machine learning

Algorithm Hardware & Core Design | 10xTalks

Algorithm Hardware & Core Design | 10xTalks

Algorithm Hardware & Core Design | 10xTalks

An Algorithm Hardware Co Design for Bayesian Neural Network Utilizing SOT MRAM’s Inherent Stochastic

An Algorithm Hardware Co Design for Bayesian Neural Network Utilizing SOT MRAM’s Inherent Stochastic

An

Efficient Computing for Autonomous Navigation w/ Algorithm-and-Hardware Co-design [Zhengdong Zhang]

Efficient Computing for Autonomous Navigation w/ Algorithm-and-Hardware Co-design [Zhengdong Zhang]

Abstract: Autonomous navigation of drones and robots require several key functions, such as visual perception, localization, ...

Prof. Deming Chen - Elegant and Effective Co-design of ML Algorithms and Accelerators

Prof. Deming Chen - Elegant and Effective Co-design of ML Algorithms and Accelerators

Professor: Deming Chen Abel Bliss Professor of Engineering Electrical and Computer Engineering Department University of ...

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