Implementing Malleability on MPI Jobs. - Gladys Utrera; Julita Corbalán; Jesús Labarta (IEEE PACT, 2004)

Scheduling of MPI Applications: Self-co-scheduling. - Gladys Utrera; Julita Corbalán; Jesús Labarta (Euro-Par, 2004)

Another approach to backfilled jobs: applying virtual malleability to expired windows. - Gladys Utrera; Julita Corbalán; Jesús Labarta (ICS, 2005)

Dynamic Load Balancing in MPI Jobs. - Gladys Utrera; Julita Corbalán; Jesús Labarta (ISHPC, 2005)

"Virtual malleability" applied to MPI jobs to improve their execution in a multiprogrammed environment". - Gladys Miriam Utrera Iglesias (2007)

A Job Scheduling Approach for Multi-core Clusters Based on Virtual Malleability. - Gladys Utrera; Siham Tabik; Julita Corbalán; Jesús Labarta (Euro-Par, 2012)

Analyzing the impact of programming models for efficient communication overlap in high-speed networks. - Gladys Utrera; Marisa Gil; Xavier Martorell (HPCS, 2014)

Scheduling parallel jobs on multicore clusters using CPU oversubscription. - Gladys Utrera; Julita Corbalán; Jesús Labarta (J. Supercomput., 2014)

In search of the best MPI-OpenMP distribution for optimum Intel-MIC cluster performance. - Gladys Utrera; Marisa Gil; Xavier Martorell (HPCS, 2015)

Evaluating the Performance Impact of Communication Imbalance in Sparse Matrix-Vector Multiplication. - Gladys Utrera; Marisa Gil; Xavier Martorell (PDP, 2015)

Exploring Memory Error Vulnerability for Parallel Programming Models. - Isil Öz; Marisa Gil; Gladys Utrera; Xavier Martorell (PPAM (1), 2015)

Tareador: a tool to unveil parallelization strategies at undergraduate level. - Eduard Ayguadé; Rosa M. Badia; Daniel Jiménez-González; José R. Herrero 001; Jesús Labarta; Vladimir Subotic; Gladys Utrera (WCAE, 2015)

Analyzing Data-Error Propagation Effects in High-Performance Computing. - Gladys Utrera; Marisa Gil; Xavier Martorell (PDP, 2016)

Task Packing: Getting the Best from MPI Unbalanced Applications. - Gladys Utrera; Montse Farreras; Jordi Fornes (PDP, 2017)

Noise Inspector Tool. - Gladys Utrera; Jordi Fornes; Jesús Labarta (PDP, 2017)

Analysis of the Impact Factors on Data Error Propagation in HPC Applications. - Gladys Utrera; Marisa Gil; Xavier Martorell (PDP, 2018)

Analyzing the impact of communication imbalance in high-speed networks. - Gladys Utrera; Marisa Gil; Xavier Martorell (Concurr. Comput. Pract. Exp., 2018)

A Methodology Approach to Compare Performance of Parallel Programming Models for Shared-Memory Architectures. - Gladys Utrera; Marisa Gil; Xavier Martorell (NUMTA(1), 2019)

Task Packing: Efficient task scheduling in unbalanced parallel programs to maximize CPU utilization. - Gladys Utrera; Montse Farreras; Jordi Fornes (J. Parallel Distributed Comput., 2019)

Analyzing the performance of hierarchical collective algorithms on ARM-based multicore clusters. - Gladys Utrera; Marisa Gil; Xavier Martorell (PDP, 2022)

Exploring Hierarchical MPI Reduction Collective Algorithms Targeted to Multicore Node Clusters. - Gladys Utrera; Marisa Gil; Xavier Martorell; William Spataro; Andrea Giordano (NUMTA (3), 2023)

OpenCAL++: An object-oriented architecture for transparent Parallel Execution of Cellular Automata models. - Andrea Giordano; Donato D'Ambrosio; Davide Macrì; Rocco Rongo; Gladys Utrera; Marisa Gil; William Spataro (PDP, 2023)

Performance Analysis and Optimization of the CUDA Implementation of the Three-Dimensional Subsurface XCA-Flow Cellular Automaton. - Alessio De Rango; Luca Furnari; Alfonso Senatore; Giuseppe Mendicino; Andrea Giordano; Davide Macrì; Gladys Utrera; Donato D'Ambrosio (PDP, 2023)

Cellular Automata on a Multi-GPU Architecture: A Technical Overview. - Andrea Giordano; Alessio De Rango; Donato D'Ambrosio; Marisa Gil; Davide Macrì; Xavier Martorell; Rocco Rongo; Gladys Utrera; Giuseppe Mendicino; William Spataro (PDP, 2024)

Partitioned Reduction for Heterogeneous Environments. - Alessio De Rango; Gladys Utrera; Marisa Gil; Xavier Martorell; Andrea Giordano; Donato D'Ambrosio; Giuseppe Mendicino (PDP, 2024)

High-Resolution Image Generation Using Artificial Intelligence and Diffusion Modelling. - Amanda Scoles; Giulia Sionis; Beatriz Otero; Gladys Utrera (PDP, 2024)

A Differential Privacy protection-based federated deep learning framework to fog-embedded architectures. - Norma Gutiérrez; Beatriz Otero; Eva Rodríguez; Gladys Utrera; Sergi Mus; Ramon Canal (Eng. Appl. Artif. Intell., 2024)

Efficient variable precision reduction in chaotic climate models: Analysis of the NEMO case in the destination earth project. - Stella Valentina Paronuzzi Ticco; Gladys Utrera; Mario C. Acosta (Comput. Geosci., 2025)