GPU - EPICURE

06/07/2026

Close-up of the LUMI supercomputer cabinets at the CSC data centre in Finland.

Published by Catarina Fernandes on 06/07/2026

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Porting BigDFT to AMD GPUs

By David Amblard (CINES) BigDFT is an advanced computational software package designed for electronic structure calculations based on Density Functional Theory (DFT). What distinguishes […]

15/06/2026

The Leonardo supercomputer at CINECA, where EPICURE-supported work explored GPU utilisation improvements for scientific simulations.

Published by Catarina Fernandes on 15/06/2026

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EPICURE white paper explores GPU utilisation improvements with NVIDIA MPS

The EPICURE team published a new white paper explaining that scientific applications can significantly improve resource efficiency without modifying their source code. Developed by Laura […]

08/06/2026

Published by Catarina Fernandes on 08/06/2026

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Maximizing GPU utilization with NVIDIA Multi-Process-Service for Quantum Monte Carlo simulations with the TurboRVB code

07/05/2026

Past Event

Published by wp_epicure 29/05/2026

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Webinar: Multi-GPU Programming in NCCL and NVSHMEM

About the talk: This webinar will cover high-performance communication software for GPU supercomputers. NCCL and NVSHMEM will be explained, including their historical context from MPI and […]

17/03/2026

Close-up view of illuminated server racks and cooling tubes inside a high-performance computing data centre, with blue and red lighting reflecting across the floor.

Published by Catarina Fernandes on 17/03/2026

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EPICURE Hackathon: speeding up your code

By Bert Jorissen (University of Antwerp) Research software is often difficult to maintain. Over time, scientific software evolves organically, with new features being rapidly introduced. […]

24/11/2025

Screenshot of The Journal of Chemical Physics page.

Published by Catarina Fernandes on 24/11/2025

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Load-balanced diffusion Monte Carlo method with lattice regularization

13/03/2025

Published by wp_epicure on 13/03/2025

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Tuning Basics and Tools Overview: Score-P / Cube / Vampir / Scalasca

13/03/2025

Published by wp_epicure on 13/03/2025

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Score-P Basic – A Joint Performance Measurement Run-Time Infrastructure for Scalasca, TAU, and Vampir

13/03/2025

Published by wp_epicure on 13/03/2025

Categories

Porting BigDFT to AMD GPUs

EPICURE white paper explores GPU utilisation improvements with NVIDIA MPS

Maximizing GPU utilization with NVIDIA Multi-Process-Service for Quantum Monte Carlo simulations with the TurboRVB code

Webinar: Multi-GPU Programming in NCCL and NVSHMEM

EPICURE Hackathon: speeding up your code

Load-balanced diffusion Monte Carlo method with lattice regularization

Tuning Basics and Tools Overview: Score-P / Cube / Vampir / Scalasca

Score-P Basic – A Joint Performance Measurement Run-Time Infrastructure for Scalasca, TAU, and Vampir

Automatic trace analysis with the Scalasca Trace Tools

This project has received funding from the European High-Performance Computing Joint Undertaking under grant agreement No.101139786.

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or EuroHPC Joint Undertaking. Neither the European Union nor the granting authority can be held responsible for them.

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