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CORDIS - EU research results
CORDIS

ASPIDE: exAScale ProgramIng models for extreme Data procEssing

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Extreme scale monitoring architecture - Initial (opens in new window)

Initial description of the Exascale monitoring architecture.

Extreme scale monitoring architecture - Final (opens in new window)

Final description of the Exascale monitoring architecture

Strategies and methodology for data movement in Exascale (opens in new window)

Report that presents an the load balance and optimization techniques designed for data movement in Exascale sytems

Dissemination and training report - Second year (opens in new window)

Report that describes the workpackages activities results in the second year

Data collection and mining for Exascale systems (opens in new window)

Description of the explored data collection and mining methodologies.

Final Report (opens in new window)

Report that presents an overview of the activities that were fulfilled during the project duration

Requirements (opens in new window)

This deliverable will consists of two-parts; the first in the shape of requirements analysis strategy and the second stage in the shape of the requirement repository.

Paradigms and models at run-time - final report (opens in new window)

Report that presents the evaluation of the advance of the stateoftheart by using the WP2 concepts and tools for Exascale systems

Applications design (opens in new window)

This report comprises detailed descriptions of the applications, the list of used WP2-WP4 concepts, their modes of integration with the applications, recommendations and APIs that will be taken into account in the redesign process, as well as the key performance indicators for the future evaluation of the improvements in performance through the re-design and re-implementation.

Validation of project outcomes through applications (opens in new window)

Final validation and evaluation of the newly developed tools by WP2WP4 using the proposed use cases

Programming paradigms supporting extreme data (opens in new window)

Include the concepts and proposals from T2.1 and T2.2.

Auto-tune of Exascale applications (opens in new window)

Final report providing detailed description of the developed tools related to the Exascale applications auto tuning

Strategies and methodology for Exascale data management (opens in new window)

Description of the predictive and adaptive data layout strategies designed for Exascale.

Dissemination and training report - First year (opens in new window)

Report that describes the work packages activities results in the first half of the project.

Techniques for in-memory real-time data analytics support at Exascale level (opens in new window)

Report that presents an the load balance and optimization techniques designed for data movement in Exascale sytems

Adaptive analysis of application behaviour (opens in new window)

Report that presents an overview of the novel methodologies and tools for adaptive analysis of applica tions behavior

Communication, collaboration, exploitation and standardization report - Third year (opens in new window)

Report that describes the results of the activities in the project related to exploitation and standardization

Monitoring data collection and mining for Exascale systems (opens in new window)

Description of the explored data collection and mining methodologies.

Early tool prototypes for data management (opens in new window)

Description of the explored data collection and mining methodologies.

Libraries and tools to support extreme data processing (opens in new window)

Collection of software prototypes with internal user manuals as results of T2.1-T2.4.

Applications - alpha version (opens in new window)

The first versions of the applications using the software prototypes strategies methodologies and concepts from WP2 WP4 and the feedback for their improvement internal user manuals

Run-time support for programming extreme data application (opens in new window)

Runtime system prototype with detailed user manual

Framework for programming extreme data application (opens in new window)

Collection of software prototypes with detailed user manuals as results of T21T23

Low-overhead software instrumentation and monitoring (opens in new window)

Description of the explored instrumentation and monitoring methodologies and tools.

AIDE framework software (opens in new window)

Report that presents the evaluation of the advance of the stateoftheart by using the WP2 concepts and tools for Exascale systems

Publications

Exploiting Machine Learning for Improving In-Memory Execution of Data-Intensive Workflows on Parallel Machines (opens in new window)

Author(s): Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio
Published in: Future Internet, Issue 13/5, 2021, Page(s) 121, ISSN 1999-5903
Publisher: MDPI
DOI: 10.3390/fi13050121

Do Pregnancy-Induced Brain Changes Reverse? The Brain of a Mother Six Years after Parturition (opens in new window)

Author(s): Magdalena Martínez-García, María Paternina-Die, Erika Barba-Müller, Daniel Martín de Blas, Laura Beumala, Romina Cortizo, Cristina Pozzobon, Luis Marcos-Vidal, Alberto Fernández-Pena, Marisol Picado, Elena Belmonte-Padilla, Anna Massó-Rodriguez, Agustin Ballesteros, Manuel Desco, Óscar Vilarroya, Elseline Hoekzema, Susanna Carmona
Published in: Brain Sciences, Issue 11/2, 2021, Page(s) 168, ISSN 2076-3425
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/brainsci11020168

The Paternal Transition Entails Neuroanatomic Adaptations that are Associated with the Father’s Brain Response to his Infant Cues (opens in new window)

Author(s): María Paternina-Die, Magdalena Martínez-García, Clara Pretus, Elseline Hoekzema, Erika Barba-Müller, Daniel Martín de Blas, Cristina Pozzobon, Agustín Ballesteros, Óscar Vilarroya, Manuel Desco, Susanna Carmona
Published in: Cerebral Cortex Communications, Issue 1/1, 2020, ISSN 2632-7376
Publisher: Cerebral Cortex Communications
DOI: 10.1093/texcom/tgaa082

Thalamic atrophy in patients with pure hereditary spastic paraplegia type 4 (opens in new window)

Author(s): Francisco J. Navas-Sánchez, Alberto Fernández-Pena, Daniel Martín de Blas, Yasser Alemán-Gómez, Luís Marcos-Vidal, Juan A. Guzmán-de-Villoria, Pilar Fernández-García, Julia Romero, Irene Catalina, Laura Lillo, José L. Muñoz-Blanco, Andrés Ordoñez-Ugalde, Beatriz Quintáns, Julio Pardo, María-Jesús Sobrido, Susanna Carmona, Francisco Grandas, Manuel Desco
Published in: Journal of Neurology, Issue 268/7, 2021, Page(s) 2429-2440, ISSN 0340-5354
Publisher: Dr. Dietrich Steinkopff Verlag
DOI: 10.1007/s00415-020-10387-4

Accelerated iterative image reconstruction for cone-beam computed tomography through Big Data frameworks (opens in new window)

Author(s): Estefania Serrano, Javier Garcia-Blas, Jesus Carretero, Manuel Desco, Monica Abella
Published in: Future Generation Computer Systems, Issue 106, 2020, Page(s) 534-544, ISSN 0167-739X
Publisher: Elsevier BV
DOI: 10.1016/j.future.2019.12.042

Using social media for sub-event detection during disasters (opens in new window)

Author(s): Loris Belcastro, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio, Francesco Branda, Themis Palpanas, Muhammad Imran
Published in: Journal of Big Data, Issue 8/1, 2021, ISSN 2196-1115
Publisher: Springer
DOI: 10.1186/s40537-021-00467-1

A Data-Aware Scheduling Strategy for Executing Large-Scale Distributed Workflows (opens in new window)

Author(s): Salvatore Giampa, Loris Belcastro, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio
Published in: IEEE Access, Issue 9, 2021, Page(s) 47354-47364, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3067815

Detecting semantic violations of lock-free data structures through C++ contracts (opens in new window)

Author(s): Javier López-Gómez, David del Rio Astorga, Manuel F. Dolz, Javier Fernández, J. Daniel García
Published in: The Journal of Supercomputing, 2019, ISSN 0920-8542
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s11227-019-02827-4

A Scalable Platform for Monitoring Data Intensive Applications (opens in new window)

Author(s): Ioan Drăgan, Gabriel Iuhasz, Dana Petcu
Published in: Journal of Grid Computing, Issue 17/3, 2019, Page(s) 503-528, ISSN 1570-7873
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10723-019-09483-1

Exploring stream parallel patterns in distributed MPI environments (opens in new window)

Author(s): Javier López-Gómez, Javier Fernández Muñoz, David del Rio Astorga, Manuel F. Dolz, J. Daniel Garcia
Published in: Parallel Computing, Issue 84, 2019, Page(s) 24-36, ISSN 0167-8191
Publisher: Elsevier BV
DOI: 10.1016/j.parco.2019.03.004

ParSoDA: high-level parallel programming for social data mining (opens in new window)

Author(s): Loris Belcastro, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio
Published in: Social Network Analysis and Mining, Issue 9/1, 2019, ISSN 1869-5450
Publisher: Springer
DOI: 10.1007/s13278-018-0547-5

Performance-Aware Scheduling of Parallel Applications on Non-Dedicated Clusters (opens in new window)

Author(s): Alberto Cascajo, David E. Singh, Jesus Carretero
Published in: Electronics, Issue 8/9, 2019, Page(s) 982, ISSN 2079-9292
Publisher: MDPI
DOI: 10.3390/electronics8090982

A view of programming scalable data analysis: from clouds to exascale (opens in new window)

Author(s): Domenico Talia
Published in: Journal of Cloud Computing, Issue 8/1, 2019, ISSN 2192-113X
Publisher: Springer Science + Business Media
DOI: 10.1186/s13677-019-0127-x

Multi-objective scheduling of extreme data scientific workflows in Fog (opens in new window)

Author(s): Vincenzo De Maio, Dragi Kimovski
Published in: Future Generation Computer Systems, Issue 106, 2020, Page(s) 171-184, ISSN 0167-739X
Publisher: Elsevier BV
DOI: 10.1016/j.future.2019.12.054

Simplified Workflow Simulation on Clouds based on Computation and Communication Noisiness (opens in new window)

Author(s): Roland Matha, Sasko Ristov, Thomas Fahringer, Radu Prodan
Published in: IEEE Transactions on Parallel and Distributed Systems, 2020, Page(s) 1-1, ISSN 1045-9219
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpds.2020.2967662

Kulla, a container-centric construction model for building infrastructure-agnostic distributed and parallel applications (opens in new window)

Author(s): Hugo G. Reyes-Anastacio, J.L Gonzalez-Compean, Victor J. Sosa-Sosa, Jesus Carretero, Javier Garcia-Blas
Published in: Journal of Systems and Software, Issue 168, 2020, Page(s) 110665, ISSN 0164-1212
Publisher: Elsevier BV
DOI: 10.1016/j.jss.2020.110665

Towards enhanced MRI by using a multiple back end programming framework (opens in new window)

Author(s): Javier Garcia-Blas, David del Rio Astorga, Jesus Carretero, J. Daniel Garcia
Published in: Future Generation Computer Systems, Issue 112, 2020, Page(s) 467-477, ISSN 0167-739X
Publisher: Elsevier BV
DOI: 10.1016/j.future.2020.05.039

Exposing data locality in HPC-based systems by using the HDFS backend (opens in new window)

Author(s): Jose Rivadeneira, Felix Garcia-Carballeira, Jesus Carretero, Javier Garcia-Blas
Published in: 2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics (HiPC), 2020, Page(s) 243-250, ISBN 978-1-6654-2292-5
Publisher: IEEE
DOI: 10.1109/hipc50609.2020.00038

Perspectives on Anomaly and Event Detection in Exascale Systems (opens in new window)

Author(s): Gabriel Iuhasz, Dana Petcu
Published in: 2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS), 2019, Page(s) 225-229, ISBN 978-1-7281-0006-7
Publisher: IEEE
DOI: 10.1109/bigdatasecurity-hpsc-ids.2019.00051

M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications (opens in new window)

Author(s): Vladislav Kashansky, Dragi Kimovski, Radu Prodan, Prateek Agrawal, Fabrizio Marozzo, Gabriel Iuhasz, Marek Marozzo, Javier Garcia-Blas
Published in: 2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), 2020, Page(s) 72-79, ISBN 978-1-7281-6582-0
Publisher: IEEE
DOI: 10.1109/pdp50117.2020.00018

A novel Data-Centric Programming Model for Large-Scale Parallel Systems

Author(s): Domenico Talia, Paolo Trunfio, Fabrizio Marozzo, Loris Belcastro, Javier Garcia-Blas, David del Rio, Philippe Couvee, Gael Goret, Lionel Vincent, Alberto Fernandez-Pena, Daniel Martin de Blas, Mirko Nardi, Teresa Pizzuti, Adrian Spataru and Marek Justyna
Published in: EuroPAR 2019, Issue 1, 2019
Publisher: Springer

Exploiting Stream Parallelism of MRI Reconstruction Using GrPPI over Multiple Back-Ends (opens in new window)

Author(s): Javier Garcia-Blas, David del Rio Astorga, J. Daniel Garcia, Jesus Carretero
Published in: 2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2019, Page(s) 631-637, ISBN 978-1-7281-0912-1
Publisher: IEEE
DOI: 10.1109/ccgrid.2019.00081

Monitoring of Exascale data processing (opens in new window)

Author(s): Gabriel Iuhasz, Dana Petcu
Published in: 2019 IEEE International Conference on Advanced Scientific Computing (ICASC), 2019, Page(s) 1-5, ISBN 978-1-7281-4454-2
Publisher: IEEE
DOI: 10.1109/icasc48083.2019.8946279

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