On Scheduling
Year 2023
- Maxime Gonthier, Loris Marchal, and Samuel Thibault. Taming data locality for task scheduling under memory constraint in runtime systems. Future Generation Computer Systems, 2023. [doi:10.1016/j.future.2023.01.024]
Year 2022
- Maxime Gonthier, Samuel Thibault, and Loris Marchal. Memory-Aware Scheduling of Tasks Sharing Data on Multiple GPUs with Dynamic Runtime Systems. In IPDPS 2022 - 36th IEEE International Parallel & Distributed Processing Symposium, Lyon, France, May 2022. IEEE. [doi:10.1109/IPDPS53621.2022.00073]
Year 2021
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Maxime Gonthier, Loris Marchal, and Samuel Thibault. Locality-Aware Scheduling of Independent Tasks for Runtime Systems. In COLOC: 5th workshop on data locality - 7th International European Conference on Parallel and Distributed Computing Workshops, Lisbon, Portugal, August 2021. [doi:10.1007/978-3-031-06156-1_1]
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Maxime Gonthier, Loris Marchal, and Samuel Thibault. Locality-Aware Scheduling of Independant Tasks for Runtime Systems. Research Report RR-9394, Inria, 2021.
Year 2019
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Bérenger Bramas. Impact study of data locality on task-based applications through the Heteroprio scheduler. PeerJ Computer Science, May 2019. [doi:10.7717/peerj-cs.190]
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Christophe Alias, Samuel Thibault, and Laure Gonnord. A Compiler Algorithm to Guide Runtime Scheduling. Research Report RR-9315, INRIA Grenoble ; INRIA Bordeaux, December 2019.
Year 2017
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Suraj Kumar. Scheduling of Dense Linear Algebra Kernels on Heterogeneous Resources. PhD thesis, Université de Bordeaux, April 2017.
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O. Beaumont, L. Eyraud-Dubois, and S. Kumar. Approximation Proofs of a Fast and Efficient List Scheduling Algorithm for Task-Based Runtime Systems on Multicores and GPUs. In 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS), pages 768-777, May 2017. [doi:10.1109/IPDPS.2017.71]
Year 2016
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Emmanuel Agullo, Olivier Beaumont, Lionel Eyraud-Dubois, and Suraj Kumar. Are Static Schedules so Bad ? A Case Study on Cholesky Factorization. In Proceedings of the 30th IEEE International Parallel & Distributed Processing Symposium, IPDPS’16, Chicago, IL, USA, May 2016. IEEE. [doi:10.1109/IPDPS.2016.90]
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Johan Janzén, David Black-Schaffer, and Andra Hugo. Partitioning GPUs for Improved Scalability. In IEEE 28th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), October 2016. [doi:10.1109/SBAC-PAD.2016.14]
Year 2015
- Emmanuel Agullo, Olivier Beaumont, Lionel Eyraud-Dubois, Julien Herrmann, Suraj Kumar, Loris Marchal, and Samuel Thibault. Bridging the Gap between Performance and Bounds of Cholesky Factorization on Heterogeneous Platforms. In HCW’2015 - Heterogeneity in Computing Workshop of IPDPS, Hyderabad, India, May 2015. [doi:10.1109/IPDPSW.2015.35]
Year 2014
- Marc Sergent and Simon Archipoff. Modulariser les ordonnanceurs de tâches : une approche structurelle. In Compas’2014, Neuchâtel, Suisse, April 2014.
Year 2010
- Cédric Augonnet, Jérôme Clet-Ortega, Samuel Thibault, and Raymond Namyst. Data-Aware Task Scheduling on Multi-Accelerator based Platforms. In The 16th International Conference on Parallel and Distributed Systems (ICPADS), Shanghai, China, December 2010. [doi:10.1109/ICPADS.2010.129]