Reconstructing LLM Training Workloads: A Topology- and Model-aware Network Tester

Vogt, Francisco Germano; Papagianni, Chrysa

doi:10.1145/3765515.3771757

Published December 23, 2025 | Version v1

Conference proceeding Open

Reconstructing LLM Training Workloads: A Topology- and Model-aware Network Tester

1. Universidade Estadual de Campinas (UNICAMP)
2. University of Amsterdam, Institute of information technology

Authors: Francisco Germano Vogt, Zhiheng Yang, Victor Hugo Schneider Lopes, Fabricio Rodríguez, Marcelo Caggiani Luizelli, Christian Esteve Rothenberg, Chrysa Papagianni

Pages 41 - 42

https://doi.org/10.1145/3765515.3771757

Files

Poster- Reconstructing LLM Training Workloads- A Topology- and Model-aware Network Tester.pdf

Files (2.0 MB)

Name	Size	Download all
Poster- Reconstructing LLM Training Workloads- A Topology- and Model-aware Network Tester.pdf md5:dc0db0446ed9fd3021c555f4f95f507e	2.0 MB	Preview Download

Additional details

European Commission
DESIRE6G - Deep Programmability and Secure Distributed Intelligence for Real-Time End-to-End 6G Networks 101096466

Views

Downloads

Show more details

	All versions	This version
Views	12	12
Downloads	8	8
Data volume	23.9 MB	23.9 MB

More info on how stats are collected....

DOI

Resource type

Conference proceeding

Publisher

Zenodo

Conference

CoNEXT '25: Proceedings of the 21st International Conference on emerging Networking EXperiments and Technologies (CoNEXT '25), Hong Kong, 1 - 4 December 2025

License: Creative Commons Attribution 4.0 International

The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more

Technical metadata

Created: December 23, 2025
Modified: December 23, 2025

Reconstructing LLM Training Workloads: A Topology- and Model-aware Network Tester

Creators

Description

Files

Poster- Reconstructing LLM Training Workloads- A Topology- and Model-aware Network Tester.pdf

Files (2.0 MB)

Additional details

Funding