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Bibliography

Major publications by the team in recent years
  • 1G. Lucarelli, N. Kim Thang, A. Srivastav, D. Trystram.

    Online Non-preemptive Scheduling in a Resource Augmentation Model based on Duality, in: European Symposium on Algorithms (ESA 2016), Aarhus, Denmark, August 2016, vol. 57, no 63, pp. 1-17. [ DOI : 10.4230/LIPIcs.ESA.2016.63 ]

    http://hal.univ-grenoble-alpes.fr/hal-01334219
Publications of the year

Doctoral Dissertations and Habilitation Theses

Articles in International Peer-Reviewed Journals

  • 4M. Amaris, G. Lucarelli, C. Mommessin, D. Trystram.

    Generic Algorithms for Scheduling Applications on Heterogeneous Platforms, in: Concurrency and Computation: Practice and Experience, July 2018, pp. 1-29. [ DOI : 10.1002/cpe.4647 ]

    https://hal.inria.fr/hal-01896868
  • 5E. Bampis, A. Kononov, D. Letsios, G. Lucarelli, M. Sviridenko.

    Energy Efficient Scheduling and Routing via Randomized Rounding, in: Journal of Scheduling, February 2018, vol. 21, no 1, pp. 35-51. [ DOI : 10.1007/s10951-016-0500-2 ]

    https://hal.inria.fr/hal-01725140
  • 6J. Blazewicz, B. Moseley, E. Pesch, D. Trystram, G. Zhang.

    New challenges in scheduling theory, in: Journal of Scheduling, December 2018, vol. 21, no 6, pp. 581-582. [ DOI : 10.1007/s10951-018-0571-3 ]

    https://hal.archives-ouvertes.fr/hal-01963221
  • 7F. Dufossé, K. Kaya, I. Panagiotas, B. Uçar.

    Further notes on Birkhoff-von Neumann decomposition of doubly stochastic matrices, in: Linear Algebra and Applications, 2018, vol. 554, pp. 68–78. [ DOI : 10.1016/j.laa.2018.05.017 ]

    https://hal.inria.fr/hal-01586245
  • 8É. Gaussier, J. Lelong, V. Reis, D. Trystram.

    Online Tuning of EASY-Backfilling using Queue Reordering Policies, in: IEEE Transactions on Parallel and Distributed Systems, October 2018, vol. 29, no 10, pp. 2304-2316. [ DOI : 10.1109/TPDS.2018.2820699 ]

    https://hal.archives-ouvertes.fr/hal-01963216
  • 9L. Jourdan, S. Jacquin, F. Dufossé.

    An exact algorithm for the bi-objective timing problem, in: Optimization Letters, 2018, vol. 12, no 4, pp. 903–914. [ DOI : 10.1007/s11590-018-1237-y ]

    https://hal.archives-ouvertes.fr/hal-01716581
  • 10S. Kedad-Sidhoum, F. Monna, G. Mounié, D. Trystram.

    A Family of Scheduling Algorithms for Hybrid Parallel Platforms, in: International Journal of Foundations of Computer Science, 2018, vol. 29, no 1, pp. 63-90. [ DOI : 10.1142/S012905411850003X ]

    https://hal.sorbonne-universite.fr/hal-01516700
  • 11G. Lucarelli, B. Moseley, N. K. Thang, A. Srivastav, D. Trystram.

    Online Non-Preemptive Scheduling to Minimize Weighted Flow-time on Unrelated Machines, in: Leibniz International Proceedings in Informatics , 2018, vol. 112. [ DOI : 10.4230/LIPIcs.ESA.2018.59 ]

    https://hal.archives-ouvertes.fr/hal-01986352
  • 12J. Toss, C. A. L. Pahins, B. Raffin, J. L. D. Comba.

    Packed-Memory Quadtree: a cache-oblivious data structure for visual exploration of streaming spatiotemporal big data, in: Computers and Graphics, 2018, vol. 76, pp. 117-128. [ DOI : 10.1016/j.cag.2018.09.005 ]

    https://hal.archives-ouvertes.fr/hal-01876579
  • 13J. Veiga, R. R. Expósito, B. Raffin, J. Tourino.

    Optimization of Real-World MapReduce Applications With Flame-MR: Practical Use Cases, in: IEEE Access, 2018, vol. 6, pp. 69750-69762. [ DOI : 10.1109/ACCESS.2018.2880842 ]

    https://hal.inria.fr/hal-01955503
  • 14F. Zanon Boito, E. Camilo Inacio, J. Luca Bez, P. O. A. Navaux, M. A. R. Dantas, Y. Denneulin.

    A Checkpoint of Research on Parallel I/O for High Performance Computing, in: ACM Computing Surveys, March 2018, vol. 51, no 2, pp. 23:1-23:35. [ DOI : 10.1145/3152891 ]

    http://hal.univ-grenoble-alpes.fr/hal-01591755

International Conferences with Proceedings

  • 15R. Bleuse, K. Dogeas, G. Lucarelli, G. Mounié, D. Trystram.

    Interference-Aware Scheduling using Geometric Constraints, in: Euro-Par 2018 - European Conference on Parallel Processing, Torino, Italy, Euro-Par 2018: Parallel Processing, Springer, August 2018, vol. LNCS 11014, pp. 205-217. [ DOI : 10.1007/978-3-319-96983-1_15 ]

    http://hal.univ-grenoble-alpes.fr/hal-01884542
  • 16B. Camus, A. Blavette, F. Dufossé, A.-C. Orgerie.

    Self-Consumption Optimization of Renewable Energy Production in Distributed Clouds, in: Cluster 2018 - IEEE International Conference on Cluster Computing, Belfast, United Kingdom, IEEE, September 2018, pp. 1-11.

    https://hal.archives-ouvertes.fr/hal-01856660
  • 17B. Camus, F. Dufossé, A. Blavette, M. Quinson, A.-C. Orgerie.

    Network-aware energy-efficient virtual machine management in distributed Cloud infrastructures with on-site photovoltaic production, in: SBAC-PAD 2018 - International Symposium on Computer Architecture and High Performance Computing, Lyon, France, September 2018, pp. 1-8.

    https://hal.archives-ouvertes.fr/hal-01856657
  • 18E. Dirand, L. Colombet, B. Raffin.

    TINS: A Task-Based Dynamic Helper Core Strategy for In Situ Analytics, in: SCA18 - Supercomputing Frontiers Asia 2018, Singapore, Singapore, March 2018, pp. 159-178. [ DOI : 10.1007/978-3-319-69953-0_10 ]

    https://hal.inria.fr/hal-01730910
  • 19F. Dufossé, K. Kaya, I. Panagiotas, B. Uçar.

    Approximation algorithms for maximum matchings in undirected graphs, in: CSC 2018 - SIAM Workshop on Combinatorial Scientific Computing, Bergen, Norway, Proceedings of the Seventh SIAM Workshop on Combinatorial Scientific Computing, SIAM, June 2018, pp. 56-65. [ DOI : 10.1137/1.9781611975215.6 ]

    https://hal.archives-ouvertes.fr/hal-01740403
  • 20G. Lucarelli, B. Moseley, N. K. Thang, A. Srivastav, D. Trystram.

    Online Non-preemptive Scheduling on Unrelated Machines with Rejections, in: Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures, Vienna, Austria, ACM Press, July 2018, pp. 291-300. [ DOI : 10.1145/3210377.3210402 ]

    https://hal.archives-ouvertes.fr/hal-01986312
  • 21H. C. Zanúz, B. Raffin, O. A. Mures, E. J. Padrón.

    In-Transit Molecular Dynamics Analysis with Apache Flink, in: ISAV 2018 - In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization, DALLAS, United States, November 2018, pp. 1-8.

    https://hal.inria.fr/hal-01889939

Conferences without Proceedings

  • 22B. Camus, A. Blavette, F. Dufossé, A.-C. Orgerie.

    Harnessing the geographical flexibility of distributed computing clouds for cooperative self-consumption, in: ISGT-Europe 2018 - 8th IEEE PES Innovative Smart Grid Technologies Conference Europe, Sarajevo, Bosnia and Herzegovina, October 2018, pp. 1-6.

    https://hal.archives-ouvertes.fr/hal-01856665
  • 23M. Mercier, A. Faure, O. Richard.

    Considering the Development Workflow to Achieve Reproducibility with Variation, in: SC 2018 - Workshop: ResCuE-HPC, Dallas, United States, November 2018, pp. 1-5.

    https://hal.inria.fr/hal-01891084

Scientific Books (or Scientific Book chapters)

  • 24B. Camus, F. Dufossé, A.-C. Orgerie.

    The SAGITTA approach for optimizing solar energy consumption in distributed clouds with stochastic modeling, in: Smart Cities, Green Technologies, and Intelligent Transport Systems, December 2018, pp. 1-25.

    https://hal.archives-ouvertes.fr/hal-01945821

Internal Reports

  • 25F. Dufossé, K. Kaya, I. Panagiotas, B. Uçar.

    Effective heuristics for matchings in hypergraphs, Inria Grenoble Rhône-Alpes, November 2018, no RR-9224, pp. 1-18.

    https://hal.archives-ouvertes.fr/hal-01924180
  • 26F. Dufossé, K. Kaya, I. Panagiotas, B. Uçar.

    Scaling matrices and counting the perfect matchings in graphs, Inria Grenoble Rhône-Alpes, March 2018, no RR-9161, pp. 1-22.

    https://hal.inria.fr/hal-01743802
  • 27A. Legrand, D. Trystram, S. Zrigui.

    Adapting Batch Scheduling to Workload Characteristics: What can we expect From Online Learning?, Grenoble 1 UGA - Université Grenoble Alpe, October 2018, no RR-9212, pp. 1-23.

    https://hal.inria.fr/hal-01896121

Other Publications



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