Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

• 1J. Darrous.
  
  Scalable and Efficient Data Management in Distributed Clouds: Service Provisioning and Data Processing, Ecole normale supérieure de lyon - ENS LYON, December 2019.
  
  https://hal.inria.fr/tel-02501316
• 2A. da Silva Veith.
  
  Quality of Service Aware Mechanisms for (Re)Configuring Data Stream Processing Applications on Highly Distributed Infrastructure, ENS Lyon, CNRS & Inria ; LIP - Laboratoire de l’Informatique du Parallélisme, September 2019.
  
  https://hal.inria.fr/tel-02385744

Articles in International Peer-Reviewed Journals

• 3G. Amarasinghe, M. Dias de Assuncao, A. Harwood, S. Karunasekera.
  
  ECSNeT++ : A simulator for distributed stream processing on edge and cloud environments, in: Future Generation Computer Systems, November 2019, pp. 1-18, forthcoming. [ DOI : 10.1016/j.future.2019.11.014 ]
  
  https://hal.inria.fr/hal-02369500
• 4J. V. Ferreira Lima, I. Raïs, L. Lefèvre, T. Gautier.
  
  Performance and Energy Analysis of OpenMP Runtime Systems with Dense Linear Algebra Algorithms, in: International Journal of High Performance Computing Applications, 2019, vol. 33, n^o 3, pp. 431-443. [ DOI : 10.1177/1094342018792079 ]
  
  https://hal.inria.fr/hal-01957220

International Conferences with Proceedings

• 5J. Darrous, S. Ibrahim, C. Pérez.
  
  Is it time to revisit Erasure Coding in Data-intensive clusters?, in: MASCOTS 2019 - 27th IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, Rennes, France, IEEE, October 2019, pp. 165-178. [ DOI : 10.1109/MASCOTS.2019.00026 ]
  
  https://hal.inria.fr/hal-02263116
• 6J. Darrous, T. Lambert, S. Ibrahim.
  
  On the Importance of Container Image Placement for Service Provisioning in the Edge, in: ICCCN 2019 - 28th International Conference on Computer Communications and Networks, Valencia, Spain, IEEE, July 2019, pp. 1-9. [ DOI : 10.1109/ICCCN.2019.8846920 ]
  
  https://hal.inria.fr/hal-02134507
• 7R. Ferreira Da Silva, A.-C. Orgerie, H. Casanova, R. Tanaka, E. Deelman, F. Suter.
  
  Accurately Simulating Energy Consumption of I/O-intensive Scientific Workflows, in: ICCS 2019 - International Conference on Computational Science, Faro, Portugal, ICCS 2019 - International Conference on Computational Science, Springer, June 2019, pp. 138-152. [ DOI : 10.1007/978-3-030-22734-0_11 ]
  
  https://hal.archives-ouvertes.fr/hal-02112893
• 8E. Gibert Renart, A. da Silva Veith, D. Balouek-Thomert, M. Dias de Assuncao, L. Lefèvre, M. Parashar.
  
  Distributed Operator Placement for IoT Data Analytics Across Edge and Cloud Resources, in: CCGrid 2019 - 19th Annual IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing, Larnaca, Cyprus, May 2019, pp. 1-10. [ DOI : 10.1109/CCGRID.2019.00060 ]
  
  https://hal.inria.fr/hal-02103942
• 9I. Raïs, D. Balouek-Thomert, A.-C. Orgerie, L. Lefèvre, M. Parashar.
  
  Leveraging energy-efficient non-lossy compression for data-intensive applications, in: HPCS 2019 - 17th International Conference on High Performance Computing & Simulation, Dublin, Ireland, HPCS 2019 - 17th International Conference on High Performance Computing & Simulation, July 2019, pp. 1-7.
  
  https://hal.archives-ouvertes.fr/hal-02179621
• 10C. Séguin, E. Caron, S. Dubus.
  
  SeeDep: Deploying Reproducible Application Topologies on Cloud Platform, in: CLOSER 2019 - 9th International Conference on Cloud Computing and Services Science, Heraklion, Greece, May 2019, vol. 1, pp. 363-370. [ DOI : 10.5220/0007721103630370 ]
  
  https://hal.archives-ouvertes.fr/hal-02119654
• 11A. da Silva Veith, F. R. de Souza, M. Dias de Assuncao, L. Lefèvre, J. C. S. dos Anjos.
  
  Multi-Objective Reinforcement Learning for Reconfiguring Data Stream Analytics on Edge Computing, in: ICPP 2019 - 48th International Conference on Parallel Processing, Kyoto, Japan, ACM, August 2019, pp. 1-10. [ DOI : 10.1145/3337821.3337894 ]
  
  https://hal.inria.fr/hal-02140844
• 12A. da Silva Veith, M. Dias de Assuncao, L. Lefèvre.
  
  Monte-Carlo Tree Search and Reinforcement Learning for Reconfiguring Data Stream Processing on Edge Computing, in: SBAC-PAD 2019 - International Symposium on Computer Architecture and High Performance Computing, Campo Grande, Brazil, October 2019, pp. 1-8.
  
  https://hal.inria.fr/hal-02305472

National Conferences with Proceedings

• 13D. Delabroye, S. Delamare, D. Loup, L. Nussbaum.
  
  Remplacer un routeur par un serveur Linux : retour d'expérience des passerelles d'accès à Grid'5000, in: JRES - Journées Réseaux de l'Enseignement et de la Recherche, Dijon, France, December 2019.
  
  https://hal.inria.fr/hal-02401684

Conferences without Proceedings

• 14R. Ferreira Da Silva, H. Casanova, R. Tanaka, F. Suter.
  
  Bridging Concepts and Practice in eScience via Simulation-driven Engineering, in: BC2DC 2019 - Workshop on Bridging from Concepts to Data and Computation for eScience, San Diego, CA, United States, September 2019, pp. 1-6.
  
  https://hal.archives-ouvertes.fr/hal-02329541
• 15J. Richard, G. Latu, J. Bigot, T. Gautier.
  
  Fine-Grained MPI+OpenMP Plasma Simulations: Communication Overlap with Dependent Tasks, in: Euro-Par 2019: Parallel Processing - 25th International Conference on Parallel and Distributed Computing, Göttingen, Germany, Springer, August 2019, pp. 419-433. [ DOI : 10.1007/978-3-030-29400-7_30 ]
  
  https://hal-cea.archives-ouvertes.fr/cea-02404825
• 16F. Rodrigo De Souza, M. Dias de Assuncao, E. Caron.
  
  A Throughput Model for Data Stream Processing on Fog Computing, in: HPCS 2019 - 17th International Conference on High Performance Computing & Simulation, Dublin, Ireland, July 2019, pp. 1-7.
  
  https://hal.archives-ouvertes.fr/hal-02140851

Scientific Books (or Scientific Book chapters)

• 17A. Oleksiak, L. Lefèvre, P. Alonso, G. Da Costa, V. De Maio, N. Frasheri, V. Garcia, J. Guerrero, S. Lafond, A. Lastovetsky, R. R. Manumachu, B. Muite, A.-C. Orgerie, W. Piatek, J.-M. Pierson, R. Prodan, P. Stolf, E. Sheme, S. Varrette.
  
  Energy aware ultrascale systems, in: Ultrascale Computing Systems, Institution of Engineering and Technology, January 2019, pp. 127-188. [ DOI : 10.1049/PBPC024E_ch ]
  
  https://hal.inria.fr/hal-02163289

Internal Reports

• 18F. Berthoud, P. Guitton, L. Lefèvre, S. Quinton, A. Rousseau, J. Sainte-Marie, C. Serrano, J.-B. Stefani, P. Sturm, E. Tannier.
  
  Sciences, Environnements et Sociétés : Rapport long du groupe de travail MakeSEnS d’Inria, Inria, October 2019.
  
  https://hal.inria.fr/hal-02340948
• 19C. Diguet, F. Lopez, L. Lefèvre.
  
  L'impact spatial et énergétique des data centers sur les territoires, ADEME, Direction Villes et territoires durables, 2019, pp. 1-141.
  
  https://hal.archives-ouvertes.fr/hal-02133607

Software

• 20T. Givaro group.
  
  Givaro, June 2019, Version : 4.1.1,
  
  [ SWH-ID : swh:1:dir:df65912bd1e5ea4b96b935de95f6638eb6d9472d ], Software.
  
  https://hal.archives-ouvertes.fr/hal-02130729
• 21T. LinBox group.
  
  LinBox, June 2019, Version : 1.6.3,
  
  [ SWH-ID : swh:1:dir:393b611a1424f032e83569bf6762502371cfcf65 ], Software.
  
  https://hal.archives-ouvertes.fr/hal-02130801

Scientific Popularization

• 22C. Bonamy, L. Lefèvre, G. P. A. Moreau.
  
  High performance computing and energy efficiency: focus on OpenFOAM, in: Congrès JRES : Les Journées Réseaux de l'Enseignement et de la Recherche, Dijon, France, RENATER, December 2019, pp. 1-9, https://arxiv.org/abs/1912.03920 - Vidéo https://replay.jres.org/videos/watch/811bb2fe-582e-4996-9643-89401d2c0d2c.
  
  https://hal.archives-ouvertes.fr/hal-02387863

Other Publications

• 23J. Darrous, S. Ibrahim.
  
  Enabling Data Processing under Erasure Coding in the Fog, August 2019, 1 p, ICPP 2019 - 48th International Conference on Parallel Processing, Poster.
  
  https://hal.inria.fr/hal-02388835

References in notes

• 24R. Ge, X. Feng, S. Song, H.-C. Chang, D. Li, K. W. Cameron.
  
  PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications, in: IEEE Trans. Parallel Distrib. Syst., May 2010, vol. 21, n^o 5, pp. 658–671. [ DOI : 10.1109/TPDS.2009.76 ]
  
  http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4906989
• 25A. Geist, S. Dosanjh.
  
  IESP Exascale Challenge: Co-Design of Architectures and Algorithms, in: Int. J. High Perform. Comput. Appl., November 2009, vol. 23, n^o 4, pp. 401–402.
  
  http://dx.doi.org/10.1177/1094342009347766
• 26W. Gropp, S. Huss-Lederman, A. Lumsdaine, E. Lusk, B. Nitzberg, W. Saphir, M. Snir.
  
  MPI: The Complete Reference – The MPI-2 Extensions, 2, The MIT Press, September 1998, vol. 2, ISBN 0-262-57123-4.
• 27H. Kimura, T. Imada, M. Sato.
  
  Runtime Energy Adaptation with Low-Impact Instrumented Code in a Power-Scalable Cluster System, in: Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, Washington, DC, USA, CCGRID '10, IEEE Computer Society, 2010, pp. 378–387.
• 28G. Madec.
  
  NEMO ocean engine, Institut Pierre-Simon Laplace (IPSL), France, 2008, n^o 27, ISSN No 1288-1619.
• 29OpenACC.
  
  The OpenACC Application Programming Interface, November 2011, Version 1.0.
  
  http://www.openacc-standard.org
• 30OpenMP Architecture Review Board.
  
  OpenMP Application Program Interface, July 2011, Version 3.1.
  
  http://www.openmp.org
• 31B. Rountree, D. K. Lownenthal, B. R. de Supinski, M. Schulz, V. W. Freeh, T. Bletsch.
  
  Adagio: Making DVS Practical for Complex HPC Applications, in: Proceedings of the 23rd international conference on Supercomputing, New York, NY, USA, ICS '09, ACM, 2009, pp. 460–469.
• 32C. Szyperski.
  
  Component Software - Beyond Object-Oriented Programming, 2, Addison-Wesley / ACM Press, 2002, 608 p.
• 33S. Valcke.
  
  The OASIS3 coupler: a European climate modelling community software, in: Geoscientific Model Development, 2013, vol. 6, pp. 373-388, doi:10.5194/gmd-6-373-2013.