Workflows and Distributed Computing

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Showing 1 - 30 results of 393

2020

Towards Data-Flow Parallelization for Adaptive Mesh Refinement Applications

2020 IEEE International Conference on Cluster Computing (CLUSTER)

K. Sala, A. Rico, and V. Beltran
Extending the OpenCHK Model with Advanced Checkpoint Features

Future Generation Computer Systems

M. Maroñas, S. Mateo, K. Keller, L. Bautista-Gomez, E. Ayguadé, and V. Beltran

2019

Worksharing Tasks: An Efficient Way to Exploit Irregular and Fine-Grained Loop Parallelism

2019 IEEE 26th International Conference on High Performance Computing, Data, and Analytics (HiPC)

M. Maroñas, K. Sala, S. Mateo, E. Ayguadé, and V. Beltran
MuGVRE. A virtual research environment for 3D/4D genomics

Biorxiv

L. Codó, G. Bayarri, J. Álvarez Cid-Fuentes, J. Conejero, A. Hospital, R. Royo, D. Repchevsky, M. Pasi, M. D. McDowall, F. Serra, R. M. Badia, M. Orozco, and J L.. Gelpi
BLAS-3 Optimized by OmpSs Regions (LASs Library)

27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP

P. Valero-Lara, S. Catalán, X. Martorell, and J. Labarta
Exploiting nested task-parallelism in the H-LU factorization

Journal of Computational Science

R. Carratalá-Sáez, S. Christophersen, J. I. Aliaga, V. Beltran, S. Börm, and E. S. Quintana-Ortí
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
Integrating blocking and non-blocking MPI primitives with task-based programming models

Parallel Computing

K. Sala, X. Teruel, J. M. Pérez, A. J. Pena, V. Beltran, and J. Labarta

2018

GIS and Data: Three applications to enhance Mobility

Proceedings XIX GEOINFO

A. S. Alic, J. Almeida, S. Fiore, I. Blanquer, D. Guedes, W. dos Santos, N. P. Kozievitch, N. Andrade, A. Brito, C. Eduardo Pires, N. Antunes, D. Lezzi, D. Elia, R. Moraes, T. Basso, W. Meira, and W. H. Cavassin
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
Implementation of the K-Means Algorithm on Heterogeneous Devices: A Use Case Based on an Industrial Dataset

Advances in Parallel Computing

Y. Hao XuLin, M. Vidal, B. Arejita, J. Diaz, C. Álvarez, D. Jiménez-González, X. Martorell, and F. Mantovani
Improving the Interoperability between MPI and Task-Based Programming Models

Proceedings of the 25th European MPI Users' Group Meeting

K. Sala, J.. Bellón, P. Farré, X. Teruel, J. M. Pérez, A. J. Pena, D. Holmes, V. Beltran, and J. Labarta
Analysis and Applications of Lattice Boltzmann Simulations

P. Valero-Lara
Transparent Orchestration of Task-based Parallel Applications in Containers Platforms

Journal of Grid Computing

C. Ramon-Cortes, A. Serven, J. Ejarque, D. Lezzi, 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
Enabling GPU Support for the COMPSs-Mobile Framework

WACCPD 2017: Accelerator Programming Using Directives

F. Lordan, R. M. Badia, and W-mei. Hwu
An Architecture for Programming Distributed Applications on Fog to Cloud Systems

Euro-Par 2017: Parallel Processing Workshops

F. Lordan, D. Lezzi, J. Ejarque, and R. M. Badia

2017

Extending OmpSs to Support Data Analytics Workload

The 2017 International Conference on High Performance Computing & Simulation (HPCS2017)

M. Maroñas, V. Beltran, and E. Ayguadé
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
COMPSs-Mobile: Parallel Programming for Mobile Cloud Computing

Journal of Grid Computing

F. Lordan, and R. M. Badia
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

Parallel and Distributed Processing Symposium (IPDPS), 2017 IEEE International

J. M. Pérez, V. Beltran, J. Labarta, and E. Ayguade
PaaS-IaaS Inter-Layer Adaptation in an Energy-Aware Cloud Environment

IEEE Transactions on Sustainable Computing

K. Djemame, R. Bosch, R. Kavanagh, P. Alvarez, J. Ejarque, J. Guitart, and L. Blasi
Adaptive and Architecture-Independent Task Granularity for Recursive Applications

13th International Workshop on OpenMP

A. Navarro, S. Mateo, J. Maria Perez, V. Beltran, 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
Workflows for Science: a Challenge when Facing the Convergence of HPC and Big Data

Supercomputing Frontiers and Innovations

R. M. Badia, E. Ayguade, and J. Labarta
A Directive-Based Approach to Perform Persistent Checkpoint/Restart

The 2017 International Conference on High Performance Computing & Simulation (HPCS2017)

M. Maroñas, S. Mateo, V. Beltran, and E. Ayguade
Hipster: Hybrid Task Manager for Latency-Critical Cloud Workloads

23rd IEEE Symposium on High Performance Computer Architecture (HPCA 2017)

R. Nishtala, P. Carpenter, V. Petrucci, and X. Martorell

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