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

Part of EU Open Research Repository
Published May 19, 2026 | Version v1.0.0
Software Open

MSCA-COMPOSE/GPU-framework-for-computing-multiscale-triadic-interactions: v1.0.0

Authors/Creators

  • 1. ROR icon University of Genoa
  • 2. University of Melbourne
  • 3. The Univerisity of Sydney

Description

Initial public release of the GPU framework for computing multiscale triadic interactions in turbulent flows.

This code accompanies the manuscript:

Lopes, G., Rosenzweig, M., Przytarski, P. J., Sandberg, R., and Lengani, D. "A GPU framework for computing multiscale triadic interactions in turbulent flows." Submitted to Computers & Fluids (under review), 2026.

See README.md for installation and usage. The citation will be updated upon acceptance.

Files

MSCA-COMPOSE/GPU-framework-for-computing-multiscale-triadic-interactions-v1.0.0.zip

Files (838.1 kB)

Additional details

Related works

Is supplement to
Software: https://github.com/MSCA-COMPOSE/GPU-framework-for-computing-multiscale-triadic-interactions/tree/v1.0.0 (URL)

Funding

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

Dates

Created
2026-05-19

Software

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