Jack D. Marquez

According to our database, Jack D. Marquez authored at least 15 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

Application of graph alignment techniques for identifying sources of non-determinism in MPI simulations.

Dhroov Pandey, Jack D. Marquez, Michela Taufer, Sanjukta Bhowmick

Int. J. High Perform. Comput. Appl., 2026

2025

Advancing the GEOtiled Framework Through Scalable Terrain Parameter Computation.

Gabriel Laboy, Paula Olaya, Jack D. Marquez, Michael Sutherlin, Rodrigo Vargas, Michela Taufer

Proceedings of the 34th International Symposium on High-Performance Parallel and Distributed Computing, 2025

GEOtiled-SG: A Scalable Framework for High-Resolution Terrain Parameter Computation.

Gabriel Laboy, Ian Lumsden, Paula Olaya, Jack D. Marquez, Kin Wai Ng, Rodrigo Vargas, Michela Taufer

Proceedings of the IEEE International Conference on eScience, 2025

Visualizing Temperature Hotspots and Their Impact Using the NEX-GDDP-CMIP6 Dataset.

W. Jay Ashworth, Jack D. Marquez, Michela Taufer

Proceedings of the IEEE International Conference on eScience, 2025

2024

Modelling the Impact of Cloud Storage Heterogeneity on HPC Application Performance.

Jack D. Marquez, Oscar H. Mondragon

Comput., July, 2024

Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows.

Rafael Ferreira da Silva, Deborah Bard, Kyle Chard, Shaun De Witt, Ian T. Foster, Tom Gibbs, Carole A. Goble, William F. Godoy, Johan Gustafsson, Utz-Uwe Haus, Stephen Hudson, Shantenu Jha, Laila Los, Drew Paine, Frédéric Suter, Logan T. Ward, Sean R. Wilkinson, Marcos Amaris, Yadu N. Babuji, Jonathan Bader, Riccardo Balin, Daniel Balouek, Sarah J. Beecroft, Khalid Belhajjame, Rajat Bhattarai, Wes Brewer, Paul Brunk, Silvina Caíno-Lores, Henri Casanova, Daniela Cassol, Jared Coleman, Tainã Coleman, Iacopo Colonnelli, Anderson Andrei Da Silva, Daniel de Oliveira, Pascal Elahi, Nour Elfaramawy, Wael R. Elwasif, Brian Etz, Thomas Fahringer, Wesley Ferreira, Rosa Filgueira, Jacob Fosso-Tande, Luiz Gadelha, Andy Gallo, Daniel Garijo, Yiannis Georgiou, Philipp Gritsch, Patricia Grubel, Amal Gueroudji, Quentin Guilloteau, Carlo Hamalainen, Rolando P. Hong Enriquez, Lauren Huet, Kevin Hunter Kesling, Paula Iborra, Shiva Jahangiri, Jan Janssen, Joe Jordan, Sehrish Kanwal, Liliane N. O. Kunstmann, Fabian Lehmann, Ulf Leser, Chen Li, Peini Liu, Jakob Lüttgau, Richard Lupat, José M. Fernández, Ketan Maheshwari, Tanu Malik, Jack D. Marquez, Motohiko Matsuda, Doriana Medic, Somayeh Mohammadi, Alberto Mulone, John-Luke Navarro, Kin Wai Ng, Klaus Nölp, Bruno de Paula Kinoshita, Ryan Prout, Michael R. Crusoe, Sashko Ristov, Stefan A. Robila, Daniel Rosendo, Billy Rowell, Jedrzej Rybicki, Hector Sanchez, Nishant Saurabh, Sumit Kumar Saurav, Tom Scogland, Dinindu Senanayake, Woong Shin, Raül Sirvent, Tyler J. Skluzacek, Barry Sly-Delgado, Stian Soiland-Reyes, Abel Souza, Renan Souza, Domenico Talia, Nathan R. Tallent

CoRR, 2024

Leveraging National Science Data Fabric Services to Train Data Scientists.

Michela Taufer, Heberth F. Martinez, Aashish Panta, Paula Olaya, Jack D. Marquez, Amy Gooch, Giorgio Scorzelli, Valerio Pascucci

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

Empirical Study of Molecular Dynamics Workflow Data Movement: DYAD vs. Traditional I/O Systems.

Ian Lumsden, Hariharan Devarajan, Jack D. Marquez, Stephanie Brink, David Böhme, Olga Pearce, Jae-Seung Yeom, Michela Taufer

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

2023

EduHPC Lightning Talk Summary.

Michael Alexander, Sanjukta Bhowmick, Befikir Bogale, Gilberto Díaz, Anne C. Elster, Danielle A. Ellsworth, Carlos Jaime Barrios Hernández, Evan Jaffe, Jack D. Marquez, Alison Melton, Aashish Pandey, Suzanne Parete-Koon, Nigel Tan, Michela Taufer, Verónica G. Melesse Vergara, Lauren Whitnah, George K. Thiruvathukal

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Runtime Steering of Molecular Dynamics Simulations Through In Situ Analysis and Annotation of Collective Variables.

Silvina Caíno-Lores, Michel A. Cuendet, Jack D. Marquez, Ekaterina D. Kots, Trilce Estrada, Ewa Deelman, Harel Weinstein, Michela Taufer

Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

Scalable Incremental Checkpointing using GPU-Accelerated De-Duplication.

Nigel Tan, Jakob Lüttgau, Jack D. Marquez, Keita Teranishi, Nicolas M. Morales, Sanjukta Bhowmick, Franck Cappello, Michela Taufer, Bogdan Nicolae

Proceedings of the 52nd International Conference on Parallel Processing, 2023

Online Boosted Gaussian Learners for In-Situ Detection and Characterization of Protein Folding States in Molecular Dynamics Simulations.

Harshita Sahni, Hector Carrillo-Cabada, Ekaterina D. Kots, Silvina Caíno-Lores, Jack D. Marquez, Ewa Deelman, Michel A. Cuendet, Harel Weinstein, Michela Taufer, Trilce Estrada

Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022

Improving heterogenous storage performance in HPC Cloud systems using efficient storage algorithms informed by statistical models

Jack D. Marquez

PhD thesis, 2022

Computational and Communication Infrastructure Challenges for Resilient Cloud Services.

Heberth F. Martinez, Oscar H. Mondragon, Helmut A. Rubio, Jack D. Marquez

Comput., 2022

2019

Heterogeneity-Aware Data Placement in Hybrid Clouds.

Jack D. Marquez, Juan D. Gonzalez, Oscar H. Mondragon

Proceedings of the Cloud Computing - CLOUD 2019, 2019