Judit Planas

According to our database1, Judit Planas authored at least 16 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

Online presence:

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Bibliography

2020
The SONATA data format for efficient description of large-scale network models.
PLoS Comput. Biol., 2020

2018
Exploring the interoperability of remote GPGPU virtualization using rCUDA and directive-based programming models.
J. Supercomput., 2018

Accelerating Data Analysis in Simulation Neuroscience with Big Data Technologies.
Proceedings of the Computational Science - ICCS 2018, 2018

2017
Neuromapp: A Mini-application Framework to Improve Neural Simulators.
Proceedings of the High Performance Computing - 32nd International Conference, 2017

2016
Heterogeneous Streaming.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Key/Value-Enabled Flash Memory for Complex Scientific Workflows with On-Line Analysis and Visualization.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

2015
Programming models and scheduling techniques for heterogeneous architectures.
PhD thesis, 2015

Exploiting Task-Parallelism on GPU Clusters via OmpSs and rCUDA Virtualization.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

SSMART: smart scheduling of multi-architecture tasks on heterogeneous systems.
Proceedings of the Second Workshop on Accelerator Programming using Directives, 2015

AMA: Asynchronous Management of Accelerators for Task-based Programming Models.
Proceedings of the International Conference on Computational Science, 2015

2013
Self-Adaptive OmpSs Tasks in Heterogeneous Environments.
Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

2012
Productive Programming of GPU Clusters with OmpSs.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium, 2012

2011
Ompss: a Proposal for Programming Heterogeneous Multi-Core Architectures.
Parallel Process. Lett., 2011

P-means, a parallel clustering algorithm for a heterogeneous multi-processor environment.
Proceedings of the 2011 International Conference on High Performance Computing & Simulation, 2011

2010
Optimizing the Exploitation of Multicore Processors and GPUs with OpenMP and OpenCL.
Proceedings of the Languages and Compilers for Parallel Computing, 2010

2009
Hierarchical Task-Based Programming With StarSs.
Int. J. High Perform. Comput. Appl., 2009


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