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Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
57
Citations
12984
World Ranking
3845
National Ranking
52

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award
  • 2017 - ACM - IEEE CS Ken Kennedy Award For his contributions to programming models and performance analysis tools for High Performance Computing.

Overview

Jesús Labarta is affiliated with the Barcelona Supercomputing Center in Spain. Their research primarily falls within the field of Computer Science, with a concentration on Hardware and Architecture, Computer Networks and Communications, and Computer Vision and Pattern Recognition as key subfields.

The main topics covered by their work include Parallel Computing and Optimization Techniques, Embedded Systems Design Techniques, Distributed and Parallel Computing Systems, Interconnection Networks and Systems, Cloud Computing and Resource Management, Numerical Methods and Algorithms, and Advanced Data Storage Technologies.

Among Jesús Labarta's frequent publication venues are arXiv (Cornell University), SSRN Electronic Journal, IEEE Transactions on Computers, Clinical Ophthalmology, and Journal of Parallel and Distributed Computing.

Their coauthors with frequent collaborations include Filippo Mantovani, Eduard Ayguadé, Pablo Vizcaíno, Xavier Martorell, and Roger Ferrer.

Notable recent papers authored or coauthored by Jesús Labarta include:

  • Artificial Intelligence to Identify Retinal Fundus Images, Quality Validation, Laterality Evaluation, Macular Degeneration, and Suspected Glaucoma, 2020, Clinical Ophthalmology
  • sLASs: A fully automatic auto-tuned linear algebra library based on OpenMP extensions implemented in OmpSs (LASs Library), 2020, Journal of Parallel and Distributed Computing
  • OmpSs@FPGA framework for high performance FPGA computing, 2021, IEEE Transactions on Computers
  • Acceleration with long vector architectures: Implementation and evaluation of the FFT kernel on NEC SX-Aurora and RISC-V vector extension, 2022, Concurrency and Computation Practice and Experience
  • Asymmetric HMMs for Online Ball-Bearing Health Assessments, 2022, IEEE Internet of Things Journal

Jesús Labarta has received the ACM - IEEE CS Ken Kennedy Award in 2017 for contributions to programming models and performance analysis tools for High Performance Computing.

Best Publications

  • The International Exascale Software Project roadmap

    Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts

  • OmpSs: A proposal for programming heterogeneous multi-core architectures

    Alejandro Duran;Eduard Ayguadé;Rosa M. Badia;Rosa M. Badia;Jesús Labarta

  • CellSs: a programming model for the cell BE architecture

    Pieter Bellens;Josep M. Perez;Rosa M. Badia;Jesus Labarta

  • PARAVER: A Tool to Visualize and Analyze Parallel Code

    Vincent Pillet;Jes us Labarta;Toni Cortes;Sergi Girona

  • A Framework for Performance Modeling and Prediction

    Allan Snavely;Laura Carrington;Nicole Wolter;Jesus Labarta

  • A dependency-aware task-based programming environment for multi-core architectures

    J.M. Perez;R.M. Badia;J. Labarta

  • Hierarchical Task-Based Programming With StarSs

    Judit Planas;Rosa M. Badia;Eduard Ayguadé;Jesus Labarta

  • Productive Programming of GPU Clusters with OmpSs

    Javier Bueno;Judit Planas;Alejandro Duran;Rosa M. Badia

  • DiP: A Parallel Program Development Environment

    Jesús Labarta;Sergi Girona;Vincent Pillet;Toni Cortes

  • An Extension of the StarSs Programming Model for Platforms with Multiple GPUs

    Eduard Ayguadé;Rosa M. Badia;Francisco D. Igual;Jesús Labarta

  • PyCOMPSs: Parallel computational workflows in Python:

    Enric Tejedor;Yolanda Becerra;Guillem Alomar;Anna Queralt

  • Task Superscalar: An Out-of-Order Task Pipeline

    Yoav Etsion;Felipe Cabarcas;Alejandro Rico;Alex Ramirez

  • Nanos mercurium: A research compiler for OpenMP

    J. Balart;A. Duran;M. Gon;X. Martorell

  • CellSs: making it easier to program the cell broadband engine processor

    J. P. Perez;P. Bellens;R. M. Badia;J. Labarta

  • Productive cluster programming with OmpSs

    Javier Bueno;Luis Martinell;Alejandro Duran;Montse Farreras

  • Fluid communities: a competitive, scalable and diverse community detection algorithm

    Ferran Parés;Dario Garcia Gasulla;Armand Vilalta;Jonatan Moreno

  • Programming Grid Applications with GRID superscalar

    Rosa M. Badia;Jesús Labarta;Raül Sirvent;Josep M. Pérez

  • Overlapping communication and computation by using a hybrid MPI/SMPSs approach

    Vladimir Marjanović;Jesús Labarta;Eduard Ayguadé;Mateo Valero

  • Extending the OpenMP tasking model to allow dependent tasks

    Alejandro Duran;Josep M. Perez;Eduard Ayguadé;Rosa M. Badia

  • Validation of Dimemas Communication Model for MPI Collective Operations

    Sergi Girona;Jesús Labarta;Rosa M. Badia

  • Thread fork/join techniques for multi-level parallelism exploitation in NUMA multiprocessors

    Xavier Martorell;Eduard Ayguadé;Nacho Navarro;Julita Corbalán

Frequent Co-Authors

Eduard Ayguadé
Eduard Ayguadé Barcelona Supercomputing Center
Rosa M. Badia
Rosa M. Badia Barcelona Supercomputing Center
Xavier Martorell
Xavier Martorell Universitat Politècnica de Catalunya
Mateo Valero
Mateo Valero Barcelona Supercomputing Center
Ulises Cortés
Ulises Cortés Universitat Politècnica de Catalunya
Jordi Torres
Jordi Torres Universitat Politècnica de Catalunya
Alex Ramirez
Alex Ramirez Google (United States)
Constantine D. Polychronopoulos
Constantine D. Polychronopoulos University of Illinois at Urbana-Champaign
Enrique S. Quintana-Ortí
Enrique S. Quintana-Ortí Universitat Politècnica de València

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