2017 - ACM - IEEE CS Ken Kennedy Award For his contributions to programming models and performance analysis tools for High Performance Computing.
Within one scientific family, Jesús Labarta focuses on topics pertaining to Scheduling (production processes) under Operations management, and may sometimes address concerns connected to Mathematical optimization. He performs multidisciplinary study in the fields of Mathematical optimization and Scheduling (production processes) via his papers. His Embedded system study overlaps with Multi-core processor and Computer architecture. He performs multidisciplinary study in Multi-core processor and Embedded system in his work. Jesús Labarta performs integrative study on Computer architecture and Parallel computing in his works. His Parallelism (grammar) research extends to Parallel computing, which is thematically connected. While working in this field, Jesús Labarta studies both Supercomputer and Computational science. He integrates Computational science and Supercomputer in his research. His work on Quantum mechanics expands to the thematically related Energy (signal processing).
In general Focus (optics), his work in Optics is often linked to Computer architecture linking many areas of study. He conducted interdisciplinary study in his works that combined Optics and Focus (optics). In his work, he performs multidisciplinary research in Computer architecture and Supercomputer. His Programming language study frequently links to other fields, such as Solver and Software. Jesús Labarta integrates Software with Programming language in his study. Jesús Labarta combines topics linked to Resource (disambiguation) and Processor scheduling with his work on Computer network. His Computer network research extends to the thematically linked field of Resource (disambiguation). He regularly links together related areas like Parallelism (grammar) in his Parallel computing studies. He integrates Distributed computing with Database in his research.
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The International Exascale Software Project roadmap
Jack Dongarra;Pete Beckman;Terry Moore;Patrick Aerts.
ieee international conference on high performance computing data and analytics (2011)
OmpSs: A proposal for programming heterogeneous multi-core architectures
Alejandro Duran;Eduard Ayguadé;Rosa M. Badia;Rosa M. Badia;Jesús Labarta.
Parallel Processing Letters (2011)
CellSs: a programming model for the cell BE architecture
Pieter Bellens;Josep M. Perez;Rosa M. Badia;Jesus Labarta.
conference on high performance computing (supercomputing) (2006)
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.
conference on high performance computing (supercomputing) (2002)
A dependency-aware task-based programming environment for multi-core architectures
J.M. Perez;R.M. Badia;J. Labarta.
international conference on cluster computing (2008)
Hierarchical Task-Based Programming With StarSs
Judit Planas;Rosa M. Badia;Eduard Ayguadé;Jesus Labarta.
ieee international conference on high performance computing data and analytics (2009)
An Extension of the StarSs Programming Model for Platforms with Multiple GPUs
Eduard Ayguadé;Rosa M. Badia;Francisco D. Igual;Jesús Labarta.
european conference on parallel processing (2009)
DiP: A Parallel Program Development Environment
Jesús Labarta;Sergi Girona;Vincent Pillet;Toni Cortes.
european conference on parallel processing (1996)
Productive Programming of GPU Clusters with OmpSs
Javier Bueno;Judit Planas;Alejandro Duran;Rosa M. Badia.
international parallel and distributed processing symposium (2012)
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