Exploració per autor "Badia Sala, Rosa Maria"
Ara es mostren els items 1-20 de 135
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A community roadmap for scientific workflows research and development
Ferreira da Silva, Rafael; Casanova, Henri; Chard, Kyle; Altintas, Ilkay; Badia Sala, Rosa Maria; Balis, Bartosz; Coleman, Tainã; Coppens, Frederik; Di Natale, Frank; Enders, Bjoern (Institute of Electrical and Electronics Engineers (IEEE), 2021)
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Accés restringit per política de l'editorialThe landscape of workflow systems for scientific applications is notoriously convoluted with hundreds of seemingly equivalent workflow systems, many isolated research claims, and a steep learning curve. To address some of ... -
A dependency-aware task-based programming environment for multi-core architectures
Pérez Cáncer, Josep Maria; Badia Sala, Rosa Maria; Labarta Mancho, Jesús José (2008)
Text en actes de congrés
Accés obertParallel programming on SMP and multi-core architectures is hard. In this paper we present a programming model for those environments based on automatic function level parallelism that strives to be easy, flexible, portable, ... -
A hierarchic task-based programming model for distributed heterogeneous computing
Ejarque, Jorge; Dominguez, Marc; Badia Sala, Rosa Maria (SAGE Publications, 2019-05-01)
Article
Accés obertDistributed computing platforms are evolving to heterogeneous ecosystems with Clusters, Grids and Clouds introducing in its computing nodes, processors with different core architectures, accelerators (i.e. GPUs, FPGAs), ... -
A high-productivity task-based programming model for clusters
Tejedor Saavedra, Enric; Farreras Esclusa, Montserrat; Grove, David; Badia Sala, Rosa Maria; Almasi, Gheorghe; Labarta Mancho, Jesús José (2012-12-15)
Article
Accés restringit per política de l'editorialProgramming for large-scale, multicore-based architectures requires adequate tools that offer ease of programming and do not hinder application performance. StarSs is a family of parallel programming models based on automatic ... -
A HW/SW codesign-based reconfigurable environment for telecommunication network simulation
Noguera, Juan José; Badia Sala, Rosa Maria; Domingo Pascual, Jordi; Solé Pareta, Josep (Springer, 1999)
Capítol de llibre
Accés restringit per política de l'editorialSequential network simulation is a high time-consuming application, and with the emergence of global multihop networks and gigabit-per-second links is becoming a challenging problem. A new approach to this open problem is ... -
A machine learning workflow for hurricane prediction
Kahira, Albert; Bautista Gomez, Leonardo; Badia Sala, Rosa Maria (Barcelona Supercomputing Center, 2018-04-24)
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A mathematical formulation of the loop pipelining problem
Cortadella, Jordi; Badia Sala, Rosa Maria; Sánchez Carracedo, Fermín (Universitat Politècnica de Catalunya (UPC), 1996)
Text en actes de congrés
Accés obertThis paper presents a mathematical model for the loop pipelining problem that considers several parameters for optimization and supports any combination of resource and timing constraints. The unrolling degree of the loop ... -
A parallel dynamic asynchronous framework for uncertainty quantification by hierarchical Monte Carlo algorithms
Tosi, Riccardo; Amela Milian, Ramon; Badia Sala, Rosa Maria; Rossi, Riccardo (Springer Nature, 2021-09-13)
Article
Accés obertThe necessity of dealing with uncertainties is growing in many different fields of science and engineering. Due to the constant development of computational capabilities, current solvers must satisfy both statistical ... -
A programming model for hybrid workflows: combining task-based workflows and dataflows all-in-one
Ramón Cortés, Cristian; Lordan Gomis, Francesc; Ejarque Artigas, Jorge; Badia Sala, Rosa Maria (Elsevier, 2020-12)
Article
Accés obertIn the past years, e-Science applications have evolved from large-scale simulations executed in a single cluster to more complex workflows where these simulations are combined with High-Performance Data Analytics (HPDA). ... -
A proposal to extend the OpenMP tasking model with dependent tasks
Duran Gonzalez, Alejandro; Ferrer, Roger; Ayguadé Parra, Eduard; Badia Sala, Rosa Maria; Labarta Mancho, Jesús José (2009)
Article
Accés restringit per política de l'editorialTasking in OpenMP 3.0 has been conceived to handle the dynamic generation of unstructured parallelism. New directives have been added allowing the user to identify units of independent work (tasks) and to define points to ... -
A survey on the distributed computing stack
Ramón Cortés, Cristian; Alvarez Vecino, Pol; Lordan Gomis, Francesc; Álvarez Cid-Fuentes, Javier; Ejarque Artigas, Jorge; Badia Sala, Rosa Maria (Elsevier, 2021-11)
Article
Accés obertIn this paper, we review the background and the state of the art of the Distributed Computing software stack. We aim to provide the readers with a comprehensive overview of this area by supplying a detailed big-picture of ... -
Accelerated execution via eager-release of dependencies in task-based workflows
Elshazly, Hatem Mohamed Abdelfattah Eid; Lordan Gomis, Francesc; Ejarque Artigas, Jorge; Badia Sala, Rosa Maria (Sage, 2021-07-01)
Article
Accés obertTask-based programming models offer a flexible way to express the unstructured parallelism patterns of nowadays complex applications. This expressive capability is required to achieve maximum possible performance for ... -
Accelerating hyperparameter optimisation with PyCOMPSs
Njoroge Kahira, Albert; Bautista Gomez, Leonardo; Conejero, Javier; Badia Sala, Rosa Maria (Association for Computing Machinery (ACM), 2019)
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Accés obertMachine Learning applications now span across multiple domains due to the increase in computational power of modern systems. There has been a recent surge in Machine Learning applications in High Performance Computing (HPC) ... -
AMA: asynchronous management of accelerators for task-based programming models
Planas, Judit; Badia Sala, Rosa Maria; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (Elsevier, 2015)
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Accés obertComputational science has benefited in the last years from emerging accelerators that increase the performance of scientific simulations, but using these devices hinders the programming task. This paper presents AMA: a set ... -
An Architecture for Programming Distributed Applications on Fog to Cloud Systems
Lordan Gomis, Francesc-Josep; Lezzi, Daniele; Ejarque, Jorge; Badia Sala, Rosa Maria (Springer, 2018-02-08)
Comunicació de congrés
Accés obertThis paper presents a framework to develop and execute applications in distributed and highly dynamic computing systems composed of cloud resources and fog devices such as mobile phones, cloudlets, and micro-clouds. The ... -
An asynchronous architecture model for behavioral synthesis
Cortadella, Jordi; Badia Sala, Rosa Maria (Institute of Electrical and Electronics Engineers (IEEE), 1993)
Text en actes de congrés
Accés obertAn asynchronous architecture model for behavioral synthesis is presented. The basis of the model lies in a distributed control structure consisting of multiple communicating processes. Data processing is performed by ... -
An extension of the StarSs programming model for platforms with multiple GPUs
Ayguadé Parra, Eduard; Badia Sala, Rosa Maria; Igual Peña, Francisco D.; Labarta Mancho, Jesús José; Mayo Gual, Rafael; Quintana Ortí, Enrique Salvador (Springer, 2009)
Comunicació de congrés
Accés obertWhile general-purpose homogeneous multi-core architectures are becoming ubiquitous, there are clear indications that, for a number of important applications, a better performance/power ratio can be attained using specialized ... -
An oracle for guiding large-scale model/hybrid parallel training of convolutional neural networks
Njoroge Kahira, Albert; Nguyen, Truong Thao; Bautista Gomez, Leonardo; Takano, Ryousei; Badia Sala, Rosa Maria; Wahib, Mohamed (Association for Computing Machinery (ACM), 2021)
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Accés obertDeep Neural Network (DNN) frameworks use distributed training to enable faster time to convergence and alleviate memory capacity limitations when training large models and/or using high dimension inputs. With the steady ... -
An oracle for guiding large-scale model/hybrid parallel training of convolutional neural networks
Njoroge Kahira, Albert; Nguyen, Truong Thao; Bautista Gomez, Leonardo; Takano, Ryousei; Badia Sala, Rosa Maria; Wahib, Mohamed (European Network of Excellence on High Performance and Embedded Architecture and Compilation (HiPEAC), 2021)
Comunicació de congrés
Accés obertDeep Neural Network (DNN) frameworks use distributed training to enable faster time to convergence and alleviate memory capacity limitations when training large models and/or using high dimension inputs. With the steady ... -
Analysis of the overheads incurred due to speculation in a task based programming model
Gayatri, Rahulkumar; Badia Sala, Rosa Maria; Ayguadé Parra, Eduard (2015)
Text en actes de congrés
Accés obertIn order to efficiently utilize the ever increasing processing power of multi-cores, a programmer must extract as much parallelism as possible from a given application. However with every such attempt there is an associated ...