Jordi Alcaraz

According to our database, Jordi Alcaraz authored at least 13 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Automatic tuning based on hardware performance counters and machine learning.

Suren Harutyunyan Gevorgyan, Eduardo César, Anna Sikora, Jiri Filipovic, Jordi Alcaraz

Future Gener. Comput. Syst., 2026

2025

Preparing the TAU performance system for exascale and beyond.

Kevin A. Huck, Sameer Shende, Allen D. Malony, Camille Coti, Wyatt Spear, Jordi Alcaraz, Dewi Yokelson, Srinivasan Ramesh, Mohammad Alaul Haque Monil, Chad Wood, Nicholas Chaimov, Cameron Durbin, Alister Johnson, Jacob Lambert, Izaak Beekman

Int. J. High Perform. Comput. Appl., 2025

2024

Integration of Modern HPC Performance Tools in Vlasiator for Exascale Analysis and Optimization.

Camille Coti, Yann Pfau-Kempf, Markus Battarbee, Urs Ganse, Sameer Shende, Kevin A. Huck, Jordi Alcaraz Rodriguez, Leo Kotipalo, Jennifer Faj, Jeremy J. Williams, Ivy Peng, Allen D. Malony, Stefano Markidis, Minna Palmroth

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

Efficient Code Region Characterization Through Automatic Performance Counters Reduction Using Machine Learning Techniques.

Suren Harutyunyan, Eduardo César, Anna Sikora, Jiri Filipovic, Akash Dutta, Ali Jannesari, Jordi Alcaraz

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

2023

Predicting number of threads using balanced datasets for openMP regions.

Jordi Alcaraz, Ali TehraniJamsaz, Akash Dutta, Anna Sikora, Ali Jannesari, Joan Sorribes, Eduardo César

Computing, May, 2023

Performance Optimization using Multimodal Modeling and Heterogeneous GNN.

Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Eduardo César, Anna Sikora, Ali Jannesari

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

2022

Pattern-based Autotuning of OpenMP Loops using Graph Neural Networks.

Akash Dutta, Jordi Alcaraz, Ali TehraniJamsaz, Anna Sikora, Eduardo César, Ali Jannesari

Proceedings of the IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications, 2022

2021

Towards Automatic Generation of Performance Models for Dynamic Tuning using Machine Learning.

Jordi Alcaraz

PhD thesis, 2021

Building representative and balanced datasets of OpenMP parallel regions.

Jordi Alcaraz, Steven Sleder, Ali Tehrani Jamsaz, Anna Sikora, Ali Jannesari, Joan Sorribes, Eduardo César

Proceedings of the 29th Euromicro International Conference on Parallel, 2021

2020

Building a Dataset for Classifying OpenMP Parallel Patterns via Machine Learning.

Jordi Alcaraz, Steven Sleder, Ali TehraniJamsaz, Anna Sikora, Ali Jannesari, Joan Sorribes, Eduardo César Galobardes

Dataset, May, 2020

Learning-based OpenMP Performance Tuning Using Balanced Datasets.

Jordi Alcaraz, Akash Dutta, Ali TehraniJamsaz, Anna Sikora, Ali Jannesari, Joan Sorribes, Eduardo César Galobardes

Dataset, May, 2020

2019

Hardware Counters' Space Reduction for Code Region Characterization.

Jordi Alcaraz, Anna Sikora, Eduardo César

Proceedings of the Euro-Par 2019: Parallel Processing, 2019

2018

Dynamic Tuning of OpenMP Memory Bound Applications in Multisocket Systems using MATE.

Jordi Alcaraz, Anna Sikora, Eduardo César

Proceedings of the 47th International Conference on Parallel Processing, 2018