Benchmarking Resource Usage for Efficient Distributed Deep Learning

Benchmarking Resource Usage for Efficient Distributed Deep Learning

28 January 2022

Baolin Li

Joseph McDonald

Michael Jones

Devesh Tiwari

Papers citing "Benchmarking Resource Usage for Efficient Distributed Deep Learning"

9 / 9 papers shown

Title
A2Perf: Real-World Autonomous Agents Benchmark Ikechukwu Uchendu Jason J. Jabbour Korneel Van den Berghe Joel Runevic Matthew P. Stewart ... S. Guadarrama Jie Tan Jordan K. Terry Aleksandra Faust Vijay Janapa Reddi 32 0 0 04 Mar 2025
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale Dan Zhao S. Samsi Joseph McDonald Baolin Li David Bestor Michael Jones Devesh Tiwari V. Gadepally 40 17 0 25 Feb 2024
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly Herbert Woisetschläger Alexander Erben Shiqiang Wang R. Mayer Hans-Arno Jacobsen FedML 31 17 0 04 Oct 2023
A Green(er) World for A.I Dan Zhao Nathan C. Frey Joseph McDonald Matthew Hubbell David Bestor Michael Jones Andrew Prout V. Gadepally S. Samsi 11 6 0 27 Jan 2023
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models Joseph McDonald Baolin Li Nathan C. Frey Devesh Tiwari V. Gadepally S. Samsi 29 44 0 19 May 2022
Scalable Geometric Deep Learning on Molecular Graphs Nathan C. Frey S. Samsi Joseph McDonald Lin Li Connor W. Coley V. Gadepally GNN AI4CE 26 4 0 06 Dec 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 174 1,104 0 27 Apr 2021
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 250 3,236 0 24 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016