Want to learn more about TREX? On this page, you can find our archive of informative publication materials: reports, deliverables, presentations and articles from experts within the TREX community speaking about various TREX related topics. All the public materials published by TREX partners are available on the TREX Zenodo Community: Zenodo
Project deliverable

D5.4 – Datasets made available for benchmarking and ML modelling

Pernal, Katarzyna; Casula, Michele; Rupp, Matthias; Hapka, Michal

This report documents the creation of four datasets for modelling and benchmarking computational methods. They are dedicated to further investigations of systems, which have been used for demonstrations in work package (WP) 5, i.e. hydrogen under pressure...Read more

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Project deliverable

D5.2 – Report on machine learning results delivered for water systems

Rupp, Matthias; Casula, Michele

The TREX EU Centre of Excellence investigates implementations of Quantum Monte Carlo (QMC) calculations optimized for exascale high-performance computing. These calculations are high-accuracy quantum-chemical and materials simulations that are inherently...Read more

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Project deliverable

D2.6 – Report on Final Release of TREX Platform with Interoperable Flagship Codes

Scemama, Anthony; Filippi, Claudia; Shinde, Ravindra; Landinez Borda, Edgar; Nakano, Kousuke; Kohulák, Ot(t)o; Hapka, Michal; Pernal, Katarzyna; Alavi, Ali; Lopez Rios, Pablo

The TREX project is a collaborative initiative aimed at enhancing Quantum Monte Carlo (QMC) simulations by developing and optimizing flagship codes tailored for exascale computing. This report provides a comprehensive overview of the advancements and...Read more

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Project deliverable

D1.4 – Report on final release of open-source human-readable implementation of the libraries

Scemama, Anthony

The QMCkl library represents a significant advancement in the field of quantum chemistry, particularly in Quantum Monte Carlo (QMC) simulations. Distributed under the 3-clause BSD license, the library aims for broad adoption across both academic and commercial...Read more

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Project deliverable

D3.5 – Report on the reduction of numerical precision for computation and I/O

de Oliveira Castro, Pablo; Coppens, Francois; Delval, Aur´elien; Petit, Eric

This deliverable adresses the critical concern of floating-point accuracy in numerical simulations and computation-intensive codes, emphasizing the need for early detection and resolution of numerical bugs. It introduces Verificarlo-CI, a continuous...Read more

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Project deliverable

D6.2 – First report on the status of organisation of training events and activities, including validation surveys. V1.0

Stich, Ivan

The current document D6.2 describes and details the structure of the training and education strategy and the plans of the events that have taken place at the time of writing and those planned for the remaining project lifetime. Various criteria are used to...Read more

43 Views30 Downloads
Project deliverable

D3.3 – Initial report on the performance characteristics on relevant hardware for upcoming supercomputers

Pleiter, Dirk

This deliverable documents the initial performance analysis results obtained for all 6 TREX flagship applications. The focus was, in particular, the scaling of the application and the ability to exploit parallelism at all the different levels of modern HPC...Read more

38 Views21 Downloads
Project deliverable

D7.4 – Communication, dissemination, and stakeholders engagement interim report, and user uptake updates

Pittonet, Sara; Abergas-Arteza, Julie; Mariani, Jacopo; Abrusci, Gianfranco; Stich, Ivan; Sorella, Sandro

The document is a direct output of WP7 whose key role in the project is to raise awareness about project results, disseminate major outputs, and engage key stakeholders. The aim of this document is twofold:

  • It gives an overview of the implementation plan to
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Project deliverable

D3.2 – Initial public release of high-performance software components

Jalby, William

In this first document, after a brief Introduction (Section 1), we are describing the rationale for QMCkl design guidelines (Section 2). In particular, objectives and general methodology will be highlighted. Then, more precise details on the methodology will...Read more

58 Views22 Downloads
Project deliverable

D4.2 – Report on algorithms for exascale robustness (fault tolerance and large-scale communications) in QMC flagship codes

Alavi, Ali

We expect exascale machines to enable QMC applications on larger systems than those that can be treated today. This implies that systems will have larger numbers of electrons, and/or larger Configuration Interaction (CI) expansions. In this Work Package (WP)...Read more

50 Views32 Downloads