Amanote Research

Amanote Research

    RegisterSign In

An Efficient Task-Based All-Reduce for Machine Learning Applications

doi 10.1145/3146347.3146350
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2017

Authors
Zhenyu LiJames DavisStephen Jarvis
Publisher

ACM Press


Related search

Efficient Machine Learning Approach for Optimizing Scientific Computing Applications on Emerging HPC Architectures

2017English

An Efficient AES Algorithm for IoT Based Applications

International Journal of Engineering and Advanced Technology
EngineeringComputer Science ApplicationsEnvironmental Engineering
2019English

Modern Machine Learning Applications

2019English

Feasibility Study of Machine Learning Based Renewable Energy Applications

International Journal of Recent Trends in Engineering and Research
2017English

Event Detection in Complex Environments: An Effective and Efficient Machine-Learning-Based Framework (S)

2019English

An Efficient Ad-Click Prediction System Using Machine Learning Techniques

International Journal of Engineering and Advanced Technology
EngineeringComputer Science ApplicationsEnvironmental Engineering
2020English

Lightweight Machine Learning for Efficient Frequency-Offset-Aware Demodulation

IEEE Journal on Selected Areas in Communications
Computer NetworksElectronic EngineeringElectricalCommunications
2019English

Learning to Generate Word- And Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation

2019English

Applications of Machine Learning at BESIII

EPJ Web of Conferences
AstronomyPhysics
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy