COMPACT REPRESENTATION OF MULTI-MODAL TRANSITION FROM HIGH-FIDELITY DATASETS OF UNSTEADY FLOWS

Part of EU Open Research Repository
Published April 9, 2026 | Version v1.0.0
Dataset Open

Reduced public dataset for GPU-accelerated computation of multiscale triadic interactions

Authors/Creators

  • 1. ROR icon University of Genoa
  • 2. The University of Sydney

Description

Reduced public dataset accompanying the GPU-accelerated Dask workflow for POD-based computation of multiscale triadic interactions from large flow datasets. The deposit contains the reduced input files required to run the public test case, along with the corresponding reduced POD and triadic interaction outputs to ensure reproducibility.

Files

GPU_triadic.zip

Files (3.9 GB)

Name Size
md5:0355d646b7c81c2bff52f4e767f7ad4d
3.9 GB Preview Download
md5:3bb104a54b96319b298c68e8841231c8
2.6 kB Preview Download

Additional details

Funding

European Commission
COMPOSE - COMPACT REPRESENTATION OF MULTI-MODAL TRANSITION FROM HIGH-FIDELITY DATASETS OF UNSTEADY FLOWS 101205669

Dates

Submitted
2026-04-09

Software

Repository URL
https://github.com/MSCA-COMPOSE/GPU-framework-for-computing-multiscale-triadic-interactions.git
Programming language
Python , Shell
Development Status
Active