The COOLFluiD Framework: Design Solutions for High Performance Object Oriented Scientific Computing Software. - Andrea Lani; Tiago Quintino; Dries Kimpe; Herman Deconinck; Stefan Vandewalle; Stefaan Poedts (International Conference on Computational Science (1), 2005)

The COOLFluiD Parallel Architecture. - Dries Kimpe; Andrea Lani; Tiago Quintino; Stefaan Poedts; Stefan Vandewalle (PVM/MPI, 2005)

A Study of Real World I/O Performance in Parallel Scientific Computing. - Dries Kimpe; Andrea Lani; Tiago Quintino; Stefan Vandewalle; Stefaan Poedts; Herman Deconinck (PARA, 2006)

Reusable object-oriented solutions for numerical simulation of PDEs in a high performance environment. - Andrea Lani; Tiago Quintino; Dries Kimpe; Herman Deconinck; Stefan Vandewalle; Stefaan Poedts (Sci. Program., 2006)

Run-time automatic instantiation of algorithms using C++ templates. - Tiago Quintino; Herman Deconinck (Int. J. Comput. Sci. Eng., 2009)

Third order residual distribution schemes for the Navier-Stokes equations. - Nadège Villedieu; Tiago Quintino; Mario Ricchiuto; Herman Deconinck (J. Comput. Phys., 2011)

High-order upwind residual distribution schemes on isoparametric curved elements. - Martin Vymazal; Tiago Quintino; Nadège Villedieu; Herman Deconinck (J. Comput. Phys., 2011)

A finite volume implicit time integration method for solving the equations of ideal magnetohydrodynamics for the hyperbolic divergence cleaning approach. - Mehmet Sarp Yalim; D. Vanden Abeele; Andrea Lani; Tiago Quintino; Herman Deconinck (J. Comput. Phys., 2011)

A Scalable Object Store for Meteorological and Climate Data. - Simon D. Smart; Tiago Quintino; Baudouin Raoult (PASC, 2017)

Atlas : A library for numerical weather prediction and climate modelling. - Willem Deconinck; Peter Bauer; Michail Diamantakis; Mats Hamrud; Christian Kühnlein; Pedro Maciel; Gianmarco Mengaldo; Tiago Quintino; Baudouin Raoult; Piotr K. Smolarkiewicz; Nils P. Wedi (Comput. Phys. Commun., 2017)

HPC, Cloud and Big-Data Convergent Architectures: The LEXIS Approach. - Alberto Scionti; Jan Martinovic; Olivier Terzo; Etienne Walter; Marc Levrier; Stephan Hachinger; Donato Magarielli; Thierry Goubier; Stéphane Louise; Antonio Parodi; Sean Murphy; Carmine D'Amico; et al. (CISIS, 2019)

A High-Performance Distributed Object-Store for Exascale Numerical Weather Prediction and Climate. - Simon D. Smart; Tiago Quintino; Baudouin Raoult (PASC, 2019)

An early evaluation of Intel's optane DC persistent memory module and its impact on high-performance scientific applications. - Michèle Weiland; Holger Brunst; Tiago Quintino; Nick Johnson; Olivier Iffrig; Simon D. Smart; Christian Herold; Antonino Bonanni; Adrian Jackson; Mark Parsons 001 (SC, 2019)

LEXIS Weather and Climate Large-Scale Pilot. - Antonio Parodi; Emanuele Danovaro; James Nicholas Hawkes; Tiago Quintino; Martina Lagasio; Fabio Delogu; Mirko D'Andrea; Andrea Parodi; Biagio Massimo Sardo; Andrea Ajmar; Paola Mazzoglio; Fabien Brocheton; et al. (CISIS, 2020)

A Middleware Supporting Data Movement in Complex and Software-Defined Storage and Memory Architectures. - Christopher Haine; Utz-Uwe Haus; Maxime Martinasso; Dirk Pleiter; François Tessier; Domokos Sarmany; Simon D. Smart; Tiago Quintino; Adrian Tate (ISC Workshops, 2021)

The digital revolution of Earth-system science. - Peter Bauer; Peter D. Düben; Torsten Hoefler; Tiago Quintino; Thomas C. Schulthess; Nils P. Wedi (Nat. Comput. Sci., 2021)

Performance Comparison of DAOS and Lustre for Object Data Storage Approaches. - Nicolau Manubens; Simon D. Smart; Tiago Quintino; Adrian Jackson (PDSW@SC, 2022)

Destination Earth: High-Performance Computing for Weather and Climate. - Nils Wedi; Peter Bauer; Irina Sandu; Jörn Hoffmann 002; Sophia Sheridan; Rafael Cereceda; Tiago Quintino; Daniel Thiemert; Thomas Geenen (Comput. Sci. Eng., 2022)

Thermofeel: A python thermal comfort indices library. - Chloe Brimicombe; Claudia Di Napoli; Tiago Quintino; Florian Pappenberger; Rosalind Cornforth; Hannah L. Cloke (SoftwareX, 2022)

DAOS as HPC Storage: a View From Numerical Weather Prediction. - Nicolau Manubens; Tiago Quintino; Simon D. Smart; Emanuele Danovaro; Adrian Jackson (IPDPS, 2023)

Polytope: An Algorithm for Efficient Feature Extraction on Hypercubes. - Mathilde Leuridan; James Nicholas Hawkes; Simon D. Smart; Emanuele Danovaro; Tiago Quintino (CoRR, 2023)

IO-SEA: Storage I/O and Data Management for Exascale Architectures. - Daniel Medeiros 002; Eric B. Gregory; Philippe Couvée; James Nicholas Hawkes; Sebastien Gougeaud; Maike Gilliot; Olivier Bressand; Yoann Valeri; Julien Jaeger; Damien Chapon; Frédéric Bournaud; Loïc Strafella; et al. (CF (Companion), 2024)

Reducing the Impact of I/O Contention in Numerical Weather Prediction Workflows at Scale Using DAOS. - Nicolau Manubens; Simon D. Smart; Emanuele Danovaro; Tiago Quintino; Adrian Jackson (PASC, 2024)

MultIO: A Framework for Message-Driven Data Routing For Weather and Climate Simulations. - Domokos Sarmany; Mirco Valentini; Pedro Maciel; Philipp Geier 002; Simon D. Smart; Razvan Aguridan; James Nicholas Hawkes; Tiago Quintino (PASC, 2024)

Exploring DAOS Interfaces and Performance. - Nicolau Manubens; Johann Lombardi; Simon D. Smart; Emanuele Danovaro; Tiago Quintino; Dean Hildebrand; Adrian Jackson (SC Workshops, 2024)

Performance Analysis of an Efficient Algorithm for Feature Extraction from Large Scale Meteorological Data Stores. - Mathilde Leuridan; Christopher Bradley; James Nicholas Hawkes; Tiago Quintino; Martin Schultz (PASC, 2025)

Polytope: an algorithm for efficient feature extraction on hypercubes. - Mathilde Leuridan; James Nicholas Hawkes; Simon D. Smart; Emanuele Danovaro; Martin Schultz; Tiago Quintino (J. Big Data, 2025)