Denis Trystram
Présentation
Denis Trystram is distinguished professor in the institute of technology of Univ. Grenoble-Alpes. He is an honorary member of the Institut Universitaire de France. He was vice-director of the LIG in Grenoble for 2 years (2014-2015) where he is leading a research group on resource management for parallel and distributed systems in a joint team with Inria. Since 2010, he is director of the international Master program in Computer Science at Univ. Grenoble-Alpes. He was elected in 2018 as the deputy director of the research dpt MSTIC (Mathematics/Computer Science) at Univ. Grenoble Alpes. He is a well-known specialist of scheduling in parallel and distributed platforms (including HPC clusters, clouds, Internet of Things) and multi-objective optimization (in particular with a focus on energy). Currently, he is interested in learning and its link with resource management.
Publications
Publications
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FOA-Energy: A Multi-objective Energy-Aware Scheduling Policy for Serverless-based Edge-Cloud ContinuumSAC 2025 - 40th ACM/SIGAPP Symposium on Applied Computing, Mar 2025, Catania International Airport Catania Italy, Italy. pp.225-232, ⟨10.1145/3672608.3707941⟩ |
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Alumet: a Modular Framework to Standardize the Measurement of Energy ConsumptionPECS 2025 - Workshop on Performance and Energy Efficiency in Concurrent and Distributed Systems, TÜD Dresden University of Technology, Aug 2025, Dresden, Germany. pp.1-12 |
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Analysis of the carbon footprint of HPCPECS 2025 - International Workshop on Performance and Energy Efficiency in Concurrent and Distributed Systems, Aug 2025, Dresden, Germany. pp.1-13 |
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Handling Delayed Feedback in Distributed Online Optimization: A Projection-Free ApproachECML PKDD 2024 - Joint European Conference on Machine Learning and Knowledge Discovery in Databases, Sep 2024, Vilnius, Lithuania. pp.197-211, ⟨10.1007/978-3-031-70341-6_12⟩ |
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IA générative sobre : un oxymore ?JRES (Journées réseaux de l'enseignement et de la recherche ) 2024, Renater, Dec 2024, Rennes, France |
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Light-weight prediction for improving energy consumption in HPC platformsEuro-Par 2024, Carretero, J., Shende, S., Garcia-Blas, J., Brandic, I., Olcoz, K., Schreiber, M., Aug 2024, Madrid, Spain. pp.152-165, ⟨10.1007/978-3-031-69577-3_11⟩ |
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Towards a Multi-objective Scheduling Policy for Serverless-based Edge-Cloud ContinuumCCGrid 2023 - 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, May 2023, Bangalore, India. pp.485-497, ⟨10.1109/CCGrid57682.2023.00052⟩ |
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An experimental comparison of software-based power meters: focus on CPU and GPUCCGrid 2023 - 23rd IEEE/ACM international symposium on cluster, cloud and internet computing, May 2023, Bangalore, India. pp.1-13, ⟨10.1109/CCGrid57682.2023.00020⟩ |
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Social and environmental effects of post-COVID-19 Computer Science virtual conferencing: The Euro-Par case2023 International Conference on ICT for Sustainability (ICT4S), Jun 2023, Rennes, France. pp.132-141, ⟨10.1109/ICT4S58814.2023.00022⟩ |
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Ordonnancement Deux-Agents avec Augmentation de Ressources23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, INSA Lyon, Feb 2022, Villeurbanne - Lyon, France |
Towards Developing a Global Federated Learning Platform for IoT2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS), Jul 2022, Bologna, Italy. pp.1312-1315, ⟨10.1109/ICDCS54860.2022.00145⟩ |
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L'intelligence artificielle peut-elle devenir un outil convivial ? ou doit-on immédiatement arrêter toute recherche en IA ?Conférence Archipel 2022 : Risques systémiques, trajectoires et leviers d’action transdisciplinaires, Jun 2022, Grenoble, France |
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Two-Agent Scheduling with Resource Augmentation on Multiple MachinesEuropean Conference on Parallel Processing, Aug 2022, Glasgow, United Kingdom. pp.253-267, ⟨10.1007/978-3-031-12597-3_16⟩ |
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Online Decentralized Frank-Wolfe: From theoretical bound to applications in smart-buildingGlobal IoT Conference (GloTS 2022), Jun 2022, Dublin, Ireland. pp.43--54, ⟨10.1007/978-3-031-20936-9_4⟩ |
A Federated Learning Framework for IoT: Application to Industry 4.02022 22nd International Symposium on Cluster, Cloud and Internet Computing (CCGrid), May 2022, Taormina, Italy. pp.565-574 |
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Towards a Methodology for the Characterization of IoT Data Sets of the Smart Building Sector2022 IEEE International Smart Cities Conference (ISC2), Sep 2022, Pafos, Cyprus. pp.1-7, ⟨10.1109/ISC255366.2022.9921984⟩ |
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One gradient frank-wolfe for decentralized online convex and submodular optimizationACML 2022 - 14th Asian Conference in Machine Learning, Dec 2022, Hyderabad, India. pp.1-33 |
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Short-Term Ambient Temperature Forecasting for Smart Heaters26th IEEE Symposium on Computers and Communications (ISCC 2021), Sep 2021, Athens, Greece |
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Online Scheduling with Redirection for Parallel JobsIPDPSW 2020 - IEEE International Parallel and Distributed Processing Symposium Workshops, May 2020, New Orleans, France. pp.1-4, ⟨10.1109/IPDPSW50202.2020.00066⟩ |
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Evaluating Computation and Data Placements in Edge Infrastructures through a Common SimulatorSBAC-PAD 2020 - IEEE 32nd International Symposium on Computer Architecture and High Performance Computing, Sep 2020, Porto, Portugal. pp.1-8, ⟨10.1109/SBAC-PAD49847.2020.00020⟩ |
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Scheduling at the Edge14th Scheduling for Large Scale Systems Workshop, Jun 2019, Bordeaux, France. pp.1-28 |
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Adapting Batch Scheduling to Workload Characteristics: What can we expect From Online Learning?IPDPS 2019 - 33rd IEEE International Parallel & Distributed Processing Symposium, May 2019, Rio de Janeiro, Brazil. pp.686-695, ⟨10.1109/IPDPS.2019.00077⟩ |
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One can only gain by replacing EASY Backfilling: A simple scheduling policies case studyCCGrid 2019 - International Symposium in Cluster, Cloud, and Grid Computing, May 2019, Larnaca, Cyprus. pp.1-10, ⟨10.1109/CCGRID.2019.00010⟩ |
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Challenges for scheduling at the EdgeMCST 2019 - Workshop on Mathematical Challenges in Scheduling Theory, Oct 2019, Sanya, China. pp.1-33 |
Online Non-preemptive Scheduling to Minimize Maximum Weighted Flow-time on Related Machines39th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2019), Dec 2019, Bombay, India |
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Online Non-preemptive Scheduling to Minimize Maximum Weighted Flow-time on Related Machines14th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP 2019), Jun 2019, Renesse, Netherlands |
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Interference-Aware Scheduling using Geometric ConstraintsEuro-Par 2018 - European Conference on Parallel Processing, Aug 2018, Torino, Italy. pp.205-217, ⟨10.1007/978-3-319-96983-1_15⟩ |
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A Methodology for Handling Data Movements by AnticipationEuro-Par 2018 - 24th International European Conference on Parallel and Distributed Computing, Aug 2018, Turin, Italy. pp.134-145, ⟨10.1007/978-3-030-10549-5_11⟩ |
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Online Non-preemptive Scheduling on Unrelated Machines with RejectionsSPAA 2018 - 30th ACM Symposium on Parallelism in Algorithms and Architectures, Jul 2018, Vienna, Austria. pp.291-300, ⟨10.1145/3210377.3210402⟩ |
How future buildings could redefine distributed computingIPDPSW 2018 - International Parallel and Distributed Processing Symposium Workshops, May 2018, Vancouver, Canada. pp.1232-1240, ⟨10.1109/IPDPSW.2018.00192⟩ |
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Online Non-Preemptive Scheduling to Minimize Weighted Flow-time on Unrelated Machines26th Annual European Symposium on Algorithms (ESA 2018), Aug 2018, Helsinki, Finland. pp.1-12, ⟨10.4230/LIPIcs.ESA.2018.59⟩ |
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Tuning EASY-Backfilling Queues21st Workshop on Job Scheduling Strategies for Parallel Processing, May 2017, Orlando, United States. pp.43-61, ⟨10.1007/978-3-319-77398-8_3⟩ |
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A new on-line method for scheduling independent tasks17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID 2017), May 2017, Madrid, Spain |
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Generic algorithms for scheduling applications on hybrid multi-core machines23rd International European Conference on Parallel and Distributed Computing (EuroPar 2017), Aug 2017, Santiago de Compostela, Spain |
Interference-Aware Scheduling with 2D-Torus as a Case StudyJoint EURO/ORSC/ECCO Conference 2017 on Combinatorial Optimization, ECCO2017, May 2017, Koper, Slovenia |
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A Distributed Cloud Service for the Resolution of SAT2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2), Nov 2017, Kanazawa, Japan. pp.1-8, ⟨10.1109/SC2.2017.9⟩ |
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Online Min-Sum Flow Scheduling with RejectionsThe 13th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP 2017), Jul 2017, Seeon Abbey, Germany |
An Automatic Tuning System for Solving NP-Hard Problems in CloudsIPDPSW 2016 - IEEE International Parallel and Distributed Processing Symposium Workshops, May 2016, Chicago, United States. pp.1443--1452, ⟨10.1109/IPDPSW.2016.68⟩ |
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Online Non-preemptive Scheduling in a Resource Augmentation Model based on DualityEuropean Symposium on Algorithms (ESA 2016), Aug 2016, Aarhus, Denmark. pp.1-17, ⟨10.4230/LIPIcs.ESA.2016.63⟩ |
A comparison of GPU execution time prediction using machine learning and analytical modeling2016 IEEE 15th International Symposium on Network Computing and Applications (NCA), Oct 2016, Cambridge, United States. pp.326-333, ⟨10.1109/NCA.2016.7778637⟩ |
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Online Non-Preemptive Scheduling to Optimize Max Stretch on a Single Machine22nd International Computing and Combinatorics Conference (COCOON 2016), Aug 2016, Ho-Chi-Minh-Ville, Vietnam |
Message from the HCW General Chair2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May 2016, Chicago, United States. pp.4-4, ⟨10.1109/IPDPSW.2016.221⟩ |
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HCW Introduction2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May 2016, Chicago, United States. pp.1-2, ⟨10.1109/IPDPSW.2016.219⟩ |
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Multi-Objective Group Discovery on the Social WebMachine Learning and Knowledge Discovery in Databases - European Conference, {ECML} {PKDD} 2016, September 19-23, 2016, Proceedings, Part {I}, Sep 2016, Riva del Garda, Italy. pp.296-312, ⟨10.1007/978-3-319-46128-1_19⟩ |
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From Preemptive to Non-preemptive Scheduling Using Rejections22nd International Computing and Combinatorics Conference (COCOON 2016), Aug 2016, Ho Chi Minh Ville, Vietnam. pp.510-519, ⟨10.1007/978-3-319-42634-1_41⟩ |
Improving Job Scheduling by using Machine LearningSLURM user group, Georges Washington Univ., USA, 15-16 sept., 2015, Washington, United States |
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Scheduling Tasks with Precedence Constraints on Hybrid Multi-core MachinesIPDPSW 2015 - IEEE International Parallel and Distributed Processing Symposium Workshop, May 2015, Hyderabad, India. pp.27--33, ⟨10.1109/IPDPSW.2015.119⟩ |
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Communication models insights meet simulations13th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms (HeteroPar'2015), Aug 2015, Vienne, Austria. pp.258-269, ⟨10.1007/978-3-319-27308-2_22⟩ |
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A Scheduler-Level Incentive Mechanism for Energy Efficiency in HPCCCGrid 2015 - 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 2015, Shenzhen, China. pp.617--626, ⟨10.1109/CCGrid.2015.101⟩ |
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Improving Backfilling by using Machine Learning to predict Running TimesSuperComputing 2015, Nov 2015, Austin, TX, United States. ⟨10.1145/2807591.2807646⟩ |
Handling Heterogeneity for Efficient Implementations: A Case Study on Sequence ComparisonIPDPSW 2015 - IEEE International Parallel and Distributed Processing Symposium Workshop, May 2015, Hyderabad, India. pp.346--349, ⟨10.1109/IPDPSW.2015.123⟩ |
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A generic approach for heterogeneous schedulingECCO 2015, the 28th Conference of the European Chapter on Combinatorial Optimization, Catania, Italy, May 28-30, 2015, Catania, Italy |
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Adaptive Resource and Job Management for Limited Power ConsumptionIEEE International Parallel and Distributed Processing Symposium Workshop, IPDPS 2015, Hyderabad, India, May 25-29, 2015, Hyderabad, India. pp.863--870, ⟨10.1109/IPDPSW.2015.118⟩ |
Message from the HCW Program Committee Chair2015 IEEE International Parallel and Distributed Processing Symposium Workshop, IPDPS 2015, Hyderabad, India, May 25-29, 2015, Hyderabad, India. pp.4, ⟨10.1109/IPDPSW.2015.155⟩ |
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Online non-preemptive scheduling to optimize stretchMAPSP, 12th Workshop on Models and Algorithms for Planning and Scheduling Problems, La Roche sur Ardenne, Belgium, june 8-12, 2015, La Roche-en-Ardenne, Belgium |
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Contiguity and Locality in Backfilling SchedulingCCGrid 2015 - 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, May 2015, Shenzhen, China. pp.586--595, ⟨10.1109/CCGrid.2015.143⟩ |
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Competitive analysis for non-preemptive average stretchECCO XXVII – CO 2014 Joint Conference 27 th Conference of the European Chapter on Combinatorial Optimization, May 2014, München, France |
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Fast Biological Sequence Comparison on Hybrid Platforms43rd International Conference on Parallel Processing, ICPP 2014, Sep 2014, Minneapolis, United States. pp.501 - 509, ⟨10.1109/ICPP.2014.59⟩ |
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A Proactive Approach for Coping with Uncertain Resource Availabilities on Desktop GridsHiPC'14, IEEE Int. Conf. on High Performance Computing, 2014, Goa, India. pp.1-9 |
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Scheduling Independent Tasks on Multi-cores with GPU AcceleratorsHeteroPar 2013 - 11th International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms, Aug 2013, Aachen, Germany. pp.228-237, ⟨10.1007/978-3-642-54420-0_23⟩ |
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Scheduling Data Flow Program in XKaapi: A New Affinity Based Algorithm for Heterogeneous ArchitecturesEuro-Par 2014 Parallel Processing - 20th International Conference, Aug 2014, Porto, Portugal. pp.560 - 571, ⟨10.1007/978-3-319-09873-9_47⟩ |
Introducing Energy based fair-share schedulingSlurm User Group Meeting 2014, 2014, Lugano, Switzerland |
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Introducing Power-capping in Slurm schedulingSlurm User Group Meeting 2014, 2014, Lugano, Switzerland |
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An Efficient Algorithm for Scheduling Jobs in Volunteer Computing PlatformsHCW - Proceedings of the 2014 IEEE International Parallel & Distributed Processing Symposium Workshops, 2014, Phoenix, United States. pp.68--76, ⟨10.1109/IPDPSW.2014.13⟩ |
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Big Data et partitionment de documentsTangenteSup, issue spéciale sur le Partage des ressources, 2014, Unknown, France. pp.64-67 |
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Preemptive scheduling of independent tasks on multi-cores with GPUECCO XXVI: the 26th European Chapter on Combinatorial Optimization, May 2013, Paris, France |
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Are we expecting too much from GPUs?PPAM, the 10th International Conference on Parallel Processing and Applied Mathematics, 2013, Warsaw, Poland |
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Approximation Algorithms for a Scheduling Problem on Multi-Cores with GPUs11th workshop on Models and Algorithms for Planning and Scheduling Problems MAPSP, Jun 2013, Pont-à-Mousson, France |
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A (2+ε)-Approximation for Scheduling Parallel Jobs in Platformsthe 19th International Euro-Par Conference, 2013, Aachen, Germany. pp.78-89 |
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OStrich: Fair Scheduling for Multiple SubmissionsPPAM'2013, 2013, Warsaw, Poland |
Dual Discounting Functions for Internet Shopping Optimization ProblemMISTA 2013 - 6th Multidisciplinary International Scheduling Conference: Theory and Applications, Aug 2013, Ghent, Belgium |
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Accelerating Population-Based Search Heuristics by Adaptive Resource AllocationGECCO '13: Proceedings of the 15th ACM Annual Conference on Genetic and Evolutionary Computation, 2013, Unknown, Unknown Region. pp.1165-1172 |
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A Server Consolidation Problem: Definition and ModelProceedings of the 14th conference ROADEF, 2013, Troyes, France |
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Combining Parallel Algorithms Solving the Same Application: What is the Best Approach?ParLearning, IPDPS Workshop, 2013, Boston, United States. pp.1859-1868 |
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Malleable resource sharing algorithms for cooperative resolution of problemsProceedings of IEEE World Congress on Computational Intelligence, 2012, Brisbane, Australia. pp.1438-1445, ⟨10.1109/CEC.2012.6256524⟩ |
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Campaign SchedulingHiPC 2012 - 19th international Conference on High Performance Computing, Dec 2012, Pune, India. pp.1-10, ⟨10.1109/HiPC.2012.6507489⟩ |
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Scheduling large scale parallel platforms. System and users: a 180 degrees vision?2nd french-brazilian workshop LICIA, 2012, Grenoble, France |
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Tight approximation for scheduling parallel jobs on identical clustersIPDPSW: International Parallel and Distributed Processing Symposim, May 2012, Shangai, China. pp.878-885, ⟨10.1109/IPDPSW.2012.108⟩ |
Off-line scheduling of multi-Threaded request streams on a caching serverProceedings of the 25th IPDPS, 2011, Anchorage, Alaska, United States |
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On the Scheduling of Checkpoints on Desktop Grids11th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid 2011), 2011, Newport Beach, United States. pp.305-313, ⟨10.1109/CCGrid.2011.63⟩ |
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Tight Analysis of Relaxed Multi-Organization Scheduling Algorithms25th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2011), May 2011, Anchorage, United States |
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Using oracles for the design of efficient approximation algorithmsMAPSP: Models and Algorithms for Planning and Scheduling Problems, Jun 2011, Nymburk, Czech Republic |
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A Bi-Objective Scheduling Algorithm for Desktop Grids with Uncertain Resource AvailabilitiesEuropar 2011, Aug 2011, Bordeaux, France |
Ggen : génération aléatoire de graphes pour l'ordonnancementROADEF, 2011, Saint Etienne, France |
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Scheduling jobs on heterogeneous platformsCOCOON, 2011, Dallas, United States |
Coordination Mechanisms for Selfish Multi-Organization SchedulingProceedings of the 18th annual IEEE International Conference on High Performance Computing (HiPC), 2011, Bangalore, India. ⟨10.1109/HiPC.2011.6152720⟩ |
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A fast 5/2-approximation algorithm for hierarchical schedulingEUROPAR, 2010, Ischia, Italy |
Distributed control schedulingJoint workshop on Scheduling for large-scale systems and scientific computing, 2010, Aussois, France |
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Scheduling Instructions on Hierarchical Machines11th International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC 2010), 2010, Atlanta, United States. ⟨10.1109/IPDPSW.2010.5470711⟩ |
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Random graph generation for scheduling simulations3rd International ICST Conference on Simulation Tools and Techniques (SIMUTools 2010), Mar 2010, Malaga, Spain. pp.10 |
Approximation Algorithms for Multiple Strip PackingApproximation and Online Algorithms, 2010, Copenhagen, Denmark. pp.37-48, ⟨10.1007/978-3-642-12450-1_4⟩ |
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A fast \frac52-approximation algorithm for hierarchical schedulingProceedings of the 16th International EuroPar Conference, 2010, Ischia, Italy. pp.157-167 |
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LPT scheduling algorithms with unavailability constraints under uncertaintiesParallel Computing: from multicores and GPU's to Petascale, 2010, Lyon, France. pp.205-211 |
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Approximating the Non-contiguous Multiple Organization Packing ProblemTCS: Theoretical Computer Science, 2010, Brisbane, Australia. pp.316-327, ⟨10.1007/978-3-642-15240-5₂3⟩ |
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A Tighter Analysis of Work StealingThe 21st International Symposium on Algorithms and Computation (ISAAC), 2010, Jeju Island, South Korea. pp.291-302, ⟨10.1007/978-3-642-17514-5_25⟩ |
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Comparison of Program Task Scheduling Algorithms for Dynamic SMP Clusters with Communication on the FlyProceedings of the 8th IEEE Parallel Processing and Applied Mathematics, 2010, Poland, Poland. pp.31-41, ⟨10.1007/978-3-642-14403-5_4⟩ |
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Approximating the Non-contiguous Multiple Organization Packing Problem6th IFIP TC 1/WG 2.2 International Conference on Theoretical Computer Science (TCS) / Held as Part of World Computer Congress (WCC), Sep 2010, Brisbane, Australia. pp.316-327, ⟨10.1007/978-3-642-15240-5_23⟩ |
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Analysis of Multi-Organization Scheduling AlgorithmsParallel Processing, 16th International Euro-Par Conference, Aug 2010, Ischia, Italy. pp.367--379 |
Multi-organization scheduling10th conference on computational and mathematical methods in Science and Engineering (CCMSE 2010), 2010, Almeria, Spain |
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Implementation issues of scheduling with reservations on desktop gridsProceedings of Parco 2009, 2009, Lyon, France |
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Comment rater la validation de votre algorithme d'ordonnancementProceeding of Renpar'19, 2009, Toulouse, France. pp.1-2 |
Combining SAT solvers on discrete resourcesHPCS '09 : International Conference on High Performance Computing & Simulation, Jun 2009, Leipzig, Germany. pp.153-160, ⟨10.1109/HPCSIM.2009.5194889⟩ |
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Multi-Users Scheduling in Parallel SystemsProceedings of IPDPS 2009, the 23rd International Parallel and Distributed Processing Symposium, 2009, Roma, Italy. ⟨10.1109/IPDPS.2009.5161037⟩ |
The guess approximation technique and its application to the Discrete Resource Sharing Scheduling ProblemMAPSP, (the 9th workshop on Models and Algorithms for Planning and Scheduling Problems), 2009, Netherlands |
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Combining Multiple Heuristics on Discrete ResourcesIPDPS, May 2009, Rome, Italy. pp.1-8, ⟨10.1109/IPDPS.2009.5160879⟩ |
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A new genetic algorithm for scheduling for large communication delaysEuroPar 2009, 2009, Delft, Netherlands. ⟨10.1007/978-3-642-03869-3₂5⟩ |
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Approximation Algorithm for Multiple Strip PackingWAOA'2009: 7th Workshop on Approximation and Online Algorithms, Sep 2009, Copenhague, Denmark. pp.37-48, ⟨10.1007/978-3-642-12450-1_4⟩ |
A Flexible Checkpoint/Restart Model in Distributed SystemsProceedings of the 8th International IEEE Conference on Parallel Processing and Applied Mathematics (PPAM'09), 2009, Wroclaw, Poland. pp.206-215 |
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Bi-Objective Approximation Scheme for Makespan and Reliability Optimization on Uniform Parallel MachinesThe 14th International Euro-Par Conference on Parallel and Distributed Computing (Euro-Par 2008), Aug 2008, Las Palmas de Gran Canaria, Spain. pp.877-886, ⟨10.1007/978-3-540-85451-7_94⟩ |
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Fair Game-Theoretic Resource Management in Dedicated GridsIEEE International Symposium on Cluster Computing and the Grid (CCGRID'07), Proceedings, May 2007, Rio de Janeiro, Brazil. ⟨10.1109/CCGRID.2007.52⟩ |
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Assessing Contention Effects on MPI_Alltoall Communications2nd International Conference on Grid and Pervasive Computing - GPC 2007, May 2007, France. pp.00 |
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Analysis of Scheduling Algorithms with ReservationsIPDPS 2007, Mar 2007, Long Beach, California, United States. pp.1-8 |
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Adaptive Performance Modeling on Hierarchical Grid Computing EnvironmentsInternational Symposium on Cluster Computing and the Grid - CCGrid 2007, May 2007, France. pp.00 |
Cooperation in multi-organization schedulingEuro-Par 2007 Parallel Processing, Aug 2007, Rennes, France. pp.224-233, ⟨10.1007/978-3-540-74466-5_25⟩ |
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Adaptive algorithms: theory and applicationSIAM Parallel Processing 2006, Mini-Symposium MS1: Adaptive algorithms for scientific computing, Feb 2006, San Francisco, United States. pp.49--50 |
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Adaptive and Hybrid Algorithms: classification and illustration on triangular system solvingTransgressive Computing 2006, Apr 2006, Grenade, Spain. pp.131-148 |
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A best-compromise bicriteria scheduling algorithm for malleable tasksWorkshop on Efficient Algorithms, May 2005, Santorini Island, Greece |
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Scheduling Moldable Tasks for Dynamic {SMP} Clusters in {S}o{C} TechnologyParallel Processing and Applied Mathematics, Sep 2005, Poznan, Poland |
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Models for scheduling on large scale platforms: which policy for which application?18th International Parallel and Distributed Processing Symposium (IPDPS'04), 2004, Santa Fe, New Mexico, United States |
Convex Scheduling for Grid Computing1st Bertinoro Workshop on Algorithms for Scheduling and Communication - WASC 2004, 2004, Bertinoro/Italie, France |
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Bi-criteria Algorithm for Scheduling Jobs on Cluster PlatformsACM Symposium on Parallel Algorithms and Architectures (SPAA), 2004, France. pp.125-132 |
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Scheduling on hierarchical clusters using malleable tasksSymposium on Parallel Algorithms and Architectures, Jul 2001, Crete island, greece, pp.199-208 |
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Efficient Approximation Algorithms for Scheduling Malleable Tasks11th Annual ACM Symposium on Parallel Algorithms and Architectures (SPAA'99), Jun 1999, Saint Malo, France. pp.23-32, ⟨10.1145/305619.305622⟩ |
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Dynamic Load Balancing for Ocean Circulation Model with Adaptive MeshingEuro-Par' 99 Parallel Processing - 5th International Euro-Par Conference, Aug 1999, Toulouse, France. pp.303-312, ⟨10.1007/3-540-48311-X_39⟩ |
Optimal scheduling algorithms for parallel Gaussian eliminationHigh Performance Computer Systems, 1988, Unknown, pp.41-52 |
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Systolic solution of the Algebraic Path ProblemSystolic Arrays, 1987, Unknown, pp.171-180 |
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Parallel implementation of the algebraic path problemCONPAR 86, 1987, Unknown, pp.149-156 |
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Gauss elimination algorithms for MIMD computersCONPAR 86, 1987, Unknown, pp.171-180 |
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Computation costs versus communication costs in parallel Gaussian eliminationParallel Algorithms and architectures, 1986, Unknown, pp.19-29 |
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Comparaison expérimentale de logiciels de mesure d'énergie : côté GPUCompas 2022, Jul 2022, Amiens, France |
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Understand Mathematics, Understand ComputingSpringer International Publishing, pp.1-550, 2020, 978-3-030-58375-0. ⟨10.1007/978-3-030-58376-7⟩ |
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Euro-Par 2016: Parallel Processing - 22nd International Conference on Parallel and Distributed Computing, Grenoble, France, August 24-26, 2016, ProceedingsOuvrages hal-02066499v1 |
Guest editorial: special issue of the workshop "New trends in scheduling", Frejus sept. 2010Bender, Michael and Blazewicz, Jacek and Pesch, Erwin and Trystram, Denis and Zhang, Guochuan. Springer, 16, pp.347-348, 2013 |
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Euro-Par 2012, Editorial Topic 3: Scheduling and Load BalancingTrystram, Denis and Milis, Ioannis and Du, Zhihui and Schwiegelshohn, Uwe. Springer Verlag, 7484, pp.115, 2012, Lecture Notes in Computer Science |
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Special issue on ISPDC'2009 and HeteroPar'2009Yves Robert and Leonel Sousa and Denis Trystram. Parallel Computing 37, 8, pp.327-498, 2011 |
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Special issue of Parallel Computing on ISPDC'2009 and HeteroPar'2009Yves Robert, Leonel Sousa, et Denis Trystram. ELSEVIER, 37, pp.170, 2011, Parallel Computing |
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Guest editorial for the special issue "New challenges in scheduling theoryBender, Michael and Blazewicz, Jacek and Pesch, Erwin and Trystram, Denis and Zhang, Guochuan. Springer Verlag, 13-5, pp.451-452, 2010, Journal of Scheduling, ⟨10.1007/s10951-010-0196-7⟩ |
Guest editorial for the special issue "ISPDC'09 and Heteropar'09Robert, Yves and Souza, Leonel and Trystram, Denis. Elsevier, 37-8, pp.329-330, 2010 |
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Revisiting Flynn’s Classification: The Portfolio ApproachEuro-Par 2017: Parallel Processing Workshops - Santiago de Compostela, Spain, August 28-29, 2017, Revised Selected Papers, pp.227-239, 2018, ⟨10.1007/978-3-319-75178-8_19⟩ |
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Ressources informatiques : encore une histoire de temps !unknown editor. Les Ressources, Institut Universitaire de France, pp.225-243, 2011, Les colloques de l'IUF |
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Combining Numerical Iterative SolversBarbara Chapman and Frédéric Desprez and Gerhard R. Joubert and Alain Lichnewsky and Frans Peters and Thierry Priol. Parallel Computing: From Multicores and GPU's to Petascale, 19, IOS Press, pp.43-50, 2010, Advances in Parallel Computing, 978-1-60750-529-7. ⟨10.3233/978-1-60750-530-3-43⟩ |
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