Julien Hascoet

According to our database1, Julien Hascoet authored at least 9 papers between 2015 and 2023.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2023
In-Place Multicore SIMD Fast Fourier Transforms.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

2018
Contributions to Software Runtime for Clustered Manycores Applied to Embedded and High-Performance Applications. (Contributions aux environnements d'exécution pour processeurs massivement parallèles et clustérisés appliqués aux applications embarquées et hautes performances).
PhD thesis, 2018

Optimization of Calibration Algorithms on a Manycore Embedded Platform.
Proceedings of the 2018 IEEE International Workshop on Signal Processing Systems, 2018

A Distributed Framework for Low-Latency OpenVX over the RDMA NoC of a Clustered Manycore.
Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Embedded Runtime for Reconfigurable Dataflow Graphs on Manycore Architectures.
Proceedings of the 9th Workshop on Parallel Programming and RunTime Management Techniques for Manycore Architectures and 7th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms, 2018

2017
Improving 3D lattice boltzmann method stencil with asynchronous transfers on many-core processors.
Proceedings of the 36th IEEE International Performance Computing and Communications Conference, 2017

Asynchronous one-sided communications and synchronizations for a clustered manycore processor.
Proceedings of the 15th IEEE/ACM Symposium on Embedded Systems for Real-Time Multimedia, 2017

Hierarchical Dataflow Model for efficient programming of clustered manycore processors.
Proceedings of the 28th IEEE International Conference on Application-specific Systems, 2017

2015
Implementation of a Fast Fourier transform algorithm onto a manycore processor.
Proceedings of the 2015 Conference on Design and Architectures for Signal and Image Processing, 2015


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