Towards complex and intelligent workflow programming for Distributed Computing

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Mostrant 1 - 10 resultats de 15

2019

Energy-aware Self-Adaptation for Application Execution on Heterogeneous Parallel Architectures

IEEE Transactions on Sustainable Computing

R. Kavanagh, K. Djemame, J. Ejarque, R. M. Badia, and D. Garcia-Perez

2018

AutoParallel: A Python module for automatic parallelization and distributed execution of affine loop nests

8th Workshop on Python for High-Performance and Scientific Computing (PyHPC 2018)

C. Ramon-Cortes, R. Amela, J. Ejarque, P. Clauss, and R. M. Badia
Dynamic energy-aware scheduling for parallel task-based application in cloud computing

Future Generation Computer Systems

F. Juarez, J. Ejarque, and R. M. Badia

2017

PROGRAMMING MODELS FOR MULTICORE AND MANY-CORE COMPUTING SYSTEMS

Programming Multicore and Many-core Computing Systems

A. LuciaVarbanescu, R. V. can Nieuwpoort, P. Hijma, H. E. Bal, R. M. Badia, and X. Martorell
Task scheduling techniques for asymmetric multi-core systems

IEEE Transactions on Parallel and Distributed Systems

K. Chronaki, A. Rico, M. Casas, M. Moreto, R. M. Badia, E. Ayguadé, J. Labarta, and M. Valero
Enabling GPU Support for the COMPSs-Mobile Framework

Lecture Notes in Computer Science

F. Lordan, R. M. Badia, and W-mei. Hwu
PyCOMPSs: Parallel computational workflows in python

The International Journal of High Performance Computing Applications

E. Tejedor, Y. Becerra, G. Alomar, A. Queralt, R. M. Badia, J. Torres, T. Cortes, and J. Labarta
Improving the Integration of Task Nesting and Dependencies in OpenMP

2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

J. M. Pérez, V. Beltran, J. Labarta, and E. Ayguade
Hybrid/Heterogeneous programming with OmpSs and its software/hardware implications

Programming Multicore and Many-core Computing Systems

E. Ayguade, R. M. Badia, P. Bellens, J. Bueno, X. Teruel, and M. Valero

2016

Infrastructure-Agnostic Programming and Interoperable Execution in Heterogeneous Grids

Computing and Informatics

E. Tejedor, J. Álvarez, and R. M. Badia

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