Workflows and Distributed Computing

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2024

Applying a Task-Based Approach to Distributed Machine Learning Workflows

Proceedings of the 7th Annual Parallel Applications Workshop, Alternatives To MPI+X (PAW-ATM 2024)

F. Vázquez-Novoa, D. Lezzi, F. Lordan, F. Baghdadi, and D. Cirillo
Harnessing the Computing Continuum Across Personalized Healthcare, Maintenance and Inspection, and Farming 4.0

Proceedings of the 14th International Conference on Cloud Computing and Services Science - CLOSER

F. Baghdadi, D. Cirillo, D. Lezzi, F. Lordan, F. Vazquez, E. Lomurno, A. Archetti, D. Ardagna, and M. Matteucci

2022

Pre-exascale HPC approaches for molecular dynamics simulations. Covid-19 research: A use case

WIREs Computational Molecular Science

M. Wieczór, V. Genna, J. Aranda, R. M. Badia, J. Lluis Gelpí, V. Gapsys, B. L. de Groot, E. Lindahl, M. Municoy, A. Hospital, and M. Orozco

2019

Application Acceleration on FPGAs with OmpSs@FPGA

2018 International Conference on Field-Programmable Technology (FPT)

J. Bosch, X. Tan, A. Filgueras, M. Vidal, M. Mateu, D. Jiménez-González, C. Álvarez, X. Martorell, E. Ayguadé, and J. Labarta
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
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

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
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

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
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
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
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

2016

Infrastructure-Agnostic Programming and Interoperable Execution in Heterogeneous Grids

Computing and Informatics

E. Tejedor, J. Álvarez, and R. M. Badia
Energy Efficiency Support through Intra-Layer Cloud Stack Adaptation

Lecture Notes on Computer Science (LNCS), 13th International Conference on Economics of Grids, Clouds, Systems, and Services (GECON'16)

K. Djemame, R. Kavanagh, D. Armstrong, F. Lordan, J. Ejarque, M. Macías, R. Sirvent, J. Guitart, and R. M. Badia
Analyzing Data-Error Propagation Effects in High-Performance Computing

2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP)

G. Utrera, M. Gil, and X. Martorell
Work-efficient parallel non-maximum suppression for embedded GPU architectures

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

D. Oro, C. Fernández, X. Martorell, and J. Hernando
Combining Static and Dynamic Data Coalescing in Unified Parallel C

IEEE Transactions on Parallel and Distributed Systems

M. Alvanos, M. Farreras, E. Tiotto, J N. Amaral, and X. Martorell
Using shared-data localization to reduce the cost of inspector-execution in unified-parallel-C programs

Parallel Computing

M. Alvanos, E. Tiotto, J N. Amaral, M. Farreras, and X. Martorell

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