Browsing by Author "Ejarque, Jorge"
Now showing items 1-20 of 25
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A hierarchic task-based programming model for distributed heterogeneous computing
Ejarque, Jorge; Dominguez, Marc; Badia Sala, Rosa Maria (SAGE Publications, 2019-05-01)
Article
Open AccessDistributed 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), ... -
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)
Conference lecture
Open AccessThis 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 ... -
ASCETiC: adapting service lifeCycle towards efficienT clouds
Juan Ferrer, Ana; Garcia Perez, David; Agiatzidou, Eleni; Lordan Gomis, Francesc-Josep; Ejarque, Jorge; Sirvent, Raul; Badia Sala, Rosa Maria; Guitart Fernández, Jordi; Ortiz, David; Macías Lloret, Mario; Deprez, Jean-Christophe; Ponsard, Christophe; Temporale, Christian; Panuccio, Pasquale; Sommacampagna, Davide; Blasi, Lorenzo; Djemame, Karim; Armstrong, Django; Kammer, Michael (SCITEPRESS, 2014-04)
Part of book or chapter of book
Restricted access - publisher's policyReducing energy consumption is increasingly gaining attention in the area of Cloud computing, as means to reduce costs and improve corporate sustainability image. ASCETiC is focused on providing novel methods and tools to ... -
Boosting HPC data analysis performance with the ParSoDA-Py library
Belcastro, Loris; Giampà, Salvatore; Marozzo, Fabrizio; Talia, Domenico; Trunfio, Paolo; Badia Sala, Rosa Maria; Ejarque, Jorge; Mammadli, Nihad (Springer, 2024-02)
Article
Open AccessDeveloping and executing large-scale data analysis applications in parallel and distributed environments can be a complex and time-consuming task. Developers often find themselves diverted from their application logic to ... -
COMP Superscalar, an interoperable programming framework
Badia Sala, Rosa Maria; Conejero, Javier; Díaz, Carlos; Ejarque, Jorge; Lezzi, Daniele; Lordan Gomis, Francesc-Josep; Ramón Cortés, Cristian; Sirvent Pardell, Raül (2015-12-01)
Article
Open AccessCOMPSs is a programming framework that aims to facilitate the parallelization of existing applications written in Java, C/C++ and Python scripts. For that purpose, it offers a simple programming model based on sequential ... -
Dynamic energy-aware scheduling for parallel task-based application in cloud computing
Juarez Pérez, Fredy; Ejarque, Jorge; Badia Sala, Rosa Maria (Elsevier, 2018-01)
Article
Open AccessGreen Computing is a recent trend in computer science, which tries to reduce the energy consumption and carbon footprint produced by computers on distributed platforms such as clusters, grids, and clouds. Traditional ... -
EMOTIVE: the BSC’s engine for cloud solutions
Badia Sala, Rosa Maria; Goiri Presa, Íñigo; Guitart Fernández, Jordi; Macías Lloret, Mario; Torres Viñals, Jordi; Ayguadé Parra, Eduard; Ejarque, Jorge; Sirvent Pardell, Raül; Lezzi, Daniele (2009-10-01)
Article
Open AccessCloud computing is strongly based on virtualization, allowing applications to be multiplexed onto a physical resource while isolated from other applications sharing that physical resource. This technology simplifies the ... -
Enabling Python to execute efficiently in heterogeneous distributed infrastructures with PyCOMPSs
Amela Milian, Ramon; Ramón Cortés, Cristian; Ejarque, Jorge; Conejero Bañón, Javier; Badia Sala, Rosa Maria (Association for Computing Machinery (ACM), 2017-11)
Conference lecture
Open AccessPython has been adopted as programming language by a large number of scientific communities. Additionally to the easy programming interface, the large number of libraries and modules that have been made available by a large ... -
End-to-End Workflows for Climate Science: Integrating HPC Simulations, Big Data Processing, and Machine Learning
Elia, Donatello; Scardigno, Sonia; Ejarque, Jorge; D'anca, Alessandro; Accarino, Gabriele; Scoccimarro, Enrico; Donno, Davide; Peano, Daniele; Immorlano, Francesco; Aloisio, Giovanni (Association for Computing Machinery (ACM), 2023)
Conference lecture
Open AccessCurrent scientific workflow systems do not typically integrate simulation-centric and data-centric aspects due to their very different software/infrastructure requirements. A transparent integration of such components into ... -
Energy efficiency embedded service lifecycle: Towards an energy efficient cloud computing architecture
Djemame, Karim; Armstrong, Django; Kavanagh, Richard; Juan Ferrer, Ana; Garcia Perez, David; Antona, David; Deprez, Jean-Christophe; Ponsard, Christophe; Ortiz, David; Macías Lloret, Mario; Guitart Fernández, Jordi; Lordan Gomis, Francesc-Josep; Ejarque, Jorge; Sirvent Pardell, Raül; Badia Sala, Rosa Maria; Kammer, Michael; Kao, Odej; Agiatzidou, Eleni; Dimakis, Antonis; Courcoubetis, Costas; Blasi, Lorenzo (CEUR-WS.org, 2014)
Conference report
Open AccessThe paper argues the need to provide novel methods and tools to support software developers aiming to optimise energy efficiency and minimise the carbon footprint resulting from designing, developing, deploying and running ... -
Energy efficiency support through intra-layer cloud stack adaptation
Djemame, Karim; Kavanagh, Richard; Armstrong, Django; Lordan Gomis, Francesc-Josep; Ejarque, Jorge; Macías Lloret, Mario; Sirvent, Raul; Guitart Fernández, Jordi; Badia Sala, Rosa Maria (Springer, 2016)
Conference report
Restricted access - publisher's policyEnergy consumption is a key concern in cloud computing. The paper reports on a cloud architecture to support energy efficiency at service construction, deployment, and operation. This is achieved through SaaS, PaaS and ... -
ExaQUte: D1.3 First public release of the solver
Ayoul-Guilmard, Quentin; Badia Sala, Rosa Maria; Ejarque, Jorge; Ganesh, Sundar; Nobile, Fabio; Núñez Corbacho, Marc; Soriano Ortiz, Cecilia; Roig Pina, Carlos Alejandro; Rossi, Riccardo; Tosi, Riccardo (2020-05-29)
Research report
Open AccessThis deliverable presents the software release of Kratos Multiphysics, together with the XMC library, Hyperloom and PyCOMPSs API definition [8]. This report is meant to serve as a supplement to the public release of the ... -
ExaQUte: D1.4 Final public release of the solver
Ayoul-Guilmard, Quentin; Ganesh, Sundar; Nobile, Fabio; Badia Sala, Rosa Maria; Ejarque, Jorge; Cirrottola, Luca; Froehly, Algiane; Keith, Brendan; Kodakkal, Anoop; Núñez Corbacho, Marc; Roig Pina, Carlos Alejandro; Rossi, Riccardo; Tosi, Riccardo; Soriano Ortiz, Cecilia (2020-11-30)
Research report
Open AccessThis deliverable presents the final software release of Kratos Multiphysics, together with the XMC library, Hyperloom and PyCOMPSs API definitions [13]. This release also contains the latest developements on MPI parallel ... -
Executing linear algebra kernels in heterogeneous distributed infrastructures with PyCOMPSs
Amela Milian, Ramon; Ramon-cortés Vilarrodona, Cristian; Ejarque, Jorge; Conejero, Javier; Badia Sala, Rosa Maria (EDP Open, 2018-10-24)
Article
Open AccessPython is a popular programming language due to the simplicity of its syntax, while still achieving a good performance even being an interpreted language. The adoption from multiple scientific communities has evolved in ... -
Exploiting semantics and virtualization for SLA-driven resource allocation in service providers
Ejarque, Jorge; Palol, Marc de; Goiri Presa, Íñigo; Julià, Ferran; Guitart Fernández, Jordi; Badia Sala, Rosa Maria; Torres Viñals, Jordi (2010-04-01)
Article
Restricted access - publisher's policyResource management is a key challenge that service providers must adequately face in order to accomplish their business goals. This paper introduces a framework, the semantically enhanced resource allocator (SERA), aimed ... -
GUIDANCE: an integrated framework for large-scale genome and phenome-wide association studies on parallel computing platforms
Guindo-Martínez, Marta; Sánchez, Friman; Bonàs-Guarch, Silvia; Puiggròs, Montserrat; Ejarque, Jorge; Díaz, Carlos; Tejedor, Enric; Badia Sala, Rosa Maria; Mercader, Josep M.; Torrents, David (Barcelona Supercomputing Center, 2017-05-04)
Other
Open Access -
Introducing Virtual Execution Environment for Application Lifecycle Management and SLA-Driven Resource Distribution within Service Providers
Goiri Presa, Íñigo; Julià, Ferran; Ejarque, Jorge; Palol, Marc de; Badia Sala, Rosa Maria; Guitart Fernández, Jordi; Torres Viñals, Jordi (IEEE Computer Society Publications, 2009-07)
Conference report
Open AccessResource management is a key challenge that service providers must adequately face in order to ensure their profitability. This paper describes a proof-of-concept framework for facilitating resource management in service ... -
Managing failures in task-based parallel workflows in distributed computing environments
Ejarque, Jorge; Bertran, Marta; Álvarez Cid-Fuentes, Javier; Conejero, Javier; Badia Sala, Rosa Maria (Springer, Cham, 2020)
Part of book or chapter of book
Open AccessCurrent scientific workflows are large and complex. They normally perform thousands of simulations whose results combined with searching and data analytics algorithms, in order to infer new knowledge, generate a very large ... -
Optimizing execution on large-scale infrastructures by integrating task-based workflows and MPI
Elshazly, Hatem Mohamed Abdelfattah Eid; Lordan, Francesc; Ejarque, Jorge; Badia Sala, Rosa Maria (Barcelona Supercomputing Center, 2021-05)
Conference report
Open AccessWhile MPI [1] + X (where X is another parallel programming model) has been proposed and used by the community, we propose a hybrid programming model that combines taskbased model + MPI. Task-based workflows offer the ... -
Orchestration of software packages in data science workflows
Ramon-Cortes, Cristian; Ejarque, Jorge; Badia Sala, Rosa Maria (Barcelona Supercomputing Center, 2019-05-07)
Conference report
Open Access