Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
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Bibliography

Publications of the year

Doctoral Dissertations and Habilitation Theses

[1]
H. Croubois.
Toward an autonomic engine for scientific workflows and elastic Cloud infrastructure, Université de Lyon, October 2018.
https://tel.archives-ouvertes.fr/tel-01988995
[2]
I. Raïs.
Discover, model and combine energy leverages for large scale energy efficient infrastructures, Université de Lyon, September 2018.
https://tel.archives-ouvertes.fr/tel-01892387
[3]
A. Roussel.
Parallelization of iterative methods to solve sparse linear systems using task based runtime systems on multi and many-core architectures: application to Multi-Level Domain Decomposition methods, Université Grenoble Alpes, February 2018.
https://tel.archives-ouvertes.fr/tel-01753992

Articles in International Peer-Reviewed Journals

[4]
F. Almeida, M. Dias de Assuncao, J. Barbosa, V. Blanco, I. Brandic, G. Da Costa, M. F. Dolz, A. C. Elster, M. Jarus, H. Karatza, L. Lefèvre, I. Mavridis, A. Oleksiak, A.-C. Orgerie, J.-M. Pierson.
Energy Monitoring as an Essential Building Block Towards Sustainable Ultrascale Systems, in: Sustainable Computing : Informatics and Systems, March 2018, vol. 17, pp. 27-42. [ DOI : 10.1016/j.suscom.2017.10.013 ]
https://hal.inria.fr/hal-01627757
[5]
A. Benoit, L. Lefèvre, A.-C. Orgerie, I. Raïs.
Reducing the energy consumption of large scale computing systems through combined shutdown policies with multiple constraints, in: International Journal of High Performance Computing Applications, January 2018, vol. 32, no 1, pp. 176-188. [ DOI : 10.1177/1094342017714530 ]
https://hal.inria.fr/hal-01557025
[6]
J. Bigot, V. Grandgirard, G. Latu, J.-F. Méhaut, L. F. Millani, C. Passeron, S. Q. Masnada, J. Richard, B. Videau.
Building and Auto-Tuning Computing Kernels: Experimenting with BOAST and StarPU in the GYSELA Code, in: ESAIM: Proceedings and Surveys, October 2018, vol. 63 (2018), pp. 152 - 178. [ DOI : 10.1051/proc/201863152 ]
https://hal.inria.fr/hal-01909325
[7]
M. Dias de Assuncao, A. da Silva Veith, R. Buyya.
Distributed Data Stream Processing and Edge Computing: A Survey on Resource Elasticity and Future Directions, in: Journal of Network and Computer Applications, February 2018, vol. 103, pp. 1–17. [ DOI : 10.1016/j.jnca.2017.12.001 ]
https://hal.inria.fr/hal-01653842
[8]
M. Dias de Assuncao, L. Lefèvre.
Bare-Metal Reservation for Cloud: an Analysis of the Trade Off between Reactivity and Energy Efficiency, in: Cluster Computing, 2018, pp. 1-12. [ DOI : 10.1007/s10586-017-1094-y ]
https://hal.inria.fr/hal-01571288
[9]
J. 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, August 2018, pp. 1-17. [ DOI : 10.1177//1094342018792079 ]
https://hal.inria.fr/hal-01957220
[10]
I. Raïs, A.-C. Orgerie, M. Quinson, L. Lefèvre.
Quantifying the Impact of Shutdown Techniques for Energy-Efficient Data Centers, in: Concurrency and Computation: Practice and Experience, 2018, vol. 30, no 17, pp. 1-13. [ DOI : 10.1002/cpe.4471 ]
https://hal.archives-ouvertes.fr/hal-01711812

International Conferences with Proceedings

[11]
H. Acar, H. Benfenatki, J.-P. Gelas, C. Ferreira Da Silva, G. I. Alptekin, A.-N. Benharkat, P. Ghodous.
Software Greenability: A Case Study of Cloud-Based Business Applications Provisioning, in: CLOUD 2018 - IEEE 11th International Conference on Cloud Computing, San Francisco, CA, United States, IEEE, July 2018, pp. 875-878. [ DOI : 10.1109/CLOUD.2018.00125 ]
https://hal.archives-ouvertes.fr/hal-01887065
[12]
J. Anjos, K. J. Matteussi, P. R. R. De Souza, C. Geyer, A. da Silva Veith, G. Fedak, J. L. Victoria Barbosa.
Enabling Strategies for Big Data Analytics in Hybrid Infrastructures, in: 2018 International Conference on High Performance Computing Simulation (HPCS), Orléans, France, July 2018, pp. 869-876.
https://hal.inria.fr/hal-01875952
[13]
A. Bonnaffoux, E. Caron, H. Croubois, O. Gandrillon.
A Cloud-aware autonomous workflow engine and its application to Gene Regulatory Networks inference, in: CLOSER 2018 - 8th International conference on Cloud computing and Service Science, Funchal, Madeira, Portugal, March 2018, pp. 1-8.
https://hal.inria.fr/hal-01808764
[14]
Y. Caniou, E. Caron, A. Kong Win Chang, Y. Robert.
Budget-aware scheduling algorithms for scientific workflows with stochastic task weights on heterogeneous IaaS Cloud platforms, in: IPDPSW 2018 - IEEE International Parallel and Distributed Processing Symposium Workshops, Vancouver, Canada, IEEE, May 2018, pp. 15-26. [ DOI : 10.1109/IPDPSW.2018.00014 ]
https://hal.inria.fr/hal-01808831
[15]
Best Paper
H. Casanova, A. Legrand, M. Quinson, F. Suter.
SMPI Courseware: Teaching Distributed-Memory Computing with MPI in Simulation, in: EduHPC-18 - Workshop on Education for High-Performance Computing, Dallas, United States, November 2018, pp. 1-10.
https://hal.inria.fr/hal-01891513
[16]
H. Casanova, S. Pandey, J. Oeth, R. Tanaka, F. Suter, R. Ferreira Da Silva.
WRENCH: A Framework for Simulating Workflow Management Systems, in: WORKS 2018 - 13th Workshop on Workflows in Support of Large-Scale Science, Dallas, United States, November 2018, pp. 1-12.
https://hal.inria.fr/hal-01948162
[17]
Best Paper
A. Chai, S. Camarasu-Pop, T. Glatard, H. Benoit-Cattin, F. Suter.
Evaluation through Realistic Simulations of File Replication Strategies for Large Heterogeneous Distributed Systems, in: Europar 2018 - 24th International European Conference on Parallel and Distributed Computing ; Workshop HeteroPar 2018, Turin, Italy, Lecture Notes in Computer Science (LNCS), August 2018, forthcoming.
https://hal.archives-ouvertes.fr/hal-01887369
[18]
M. Chardet, H. Coullon, D. Pertin, C. Pérez.
Madeus: A formal deployment model, in: 4PAD 2018 - 5th International Symposium on Formal Approaches to Parallel and Distributed Systems (hosted at HPCS 2018), Orléans, France, July 2018, pp. 1-8.
https://hal.inria.fr/hal-01858150
[19]
J. Darrous, S. Ibrahim, A. C. Zhou, C. Pérez.
Nitro: Network-Aware Virtual Machine Image Management in Geo-Distributed Clouds, in: CCGrid 2018 - 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Washington D.C., United States, IEEE, May 2018, pp. 553-562. [ DOI : 10.1109/CCGRID.2018.00082 ]
https://hal.inria.fr/hal-01745405
[20]
T. Gautier, C. Pérez, J. Richard.
On the Impact of OpenMP Task Granularity, in: IWOMP 2018 - 14th International Workshop on OpenMP for Evolving Architectures, Barcelone, Spain, Springer, September 2018, pp. 205-221. [ DOI : 10.1007/978-3-319-98521-3_14 ]
https://hal.inria.fr/hal-01901806
[21]
B. Noëlle, E. Caron, A. Chevalier, A.-L. Vion.
Towards economic and compliant deployment of licenses in a Cloud architecture, in: Workshop: Cloud Management and Operations. In conjunction with CLOUD 2018 - IEEE International Conference on Cloud Computing, San Franciso, United States, July 2018.
https://hal.inria.fr/hal-01808751
[22]
I. Raïs, M. Boutigny, L. Lefèvre, A.-C. Orgerie, A. Benoit.
Building the Table of Energy and Power Leverages for Energy Efficient Large Scale Systems, in: HPCS: International Conference on High Performance Computing & Simulation, Orléans, France, July 2018, pp. 284-291. [ DOI : 10.1109/HPCS.2018.00056 ]
https://hal.archives-ouvertes.fr/hal-01845970
[23]
I. Raïs, E. Caron, L. Lefèvre.
Thermal aware scheduling on distributed computing water heaters, in: CCNC 2018 - IEEE Consumer Communications & Networking Conference, Las Vegas, United States, January 2018, pp. 1-4. [ DOI : 10.1109/CCNC.2018.8319253 ]
https://hal.inria.fr/hal-01671728
[24]
I. Raïs, H. Coullon, L. Lefèvre, C. Pérez.
Automatic Energy Efficient HPC Programming: A Case Study, in: ISPA 2018, Melbourne, Australia, December 2018.
https://hal.inria.fr/hal-01922301
[25]
I. Raïs, L. Lefèvre, A.-C. Orgerie, A. Benoit.
Exploiting the Table of Energy and Power Leverages, in: ICA3PP 2018 - 18th International Conference on Algorithms and Architectures for Parallel Processing, Guangzhou, China, November 2018, pp. 1-10.
https://hal.archives-ouvertes.fr/hal-01927829
[26]
A. da Silva Veith, M. Dias de Assuncao, L. Lefèvre.
Latency-Aware Placement of Data Stream Analytics on Edge Computing, in: Service-Oriented Computing, Hangzhou, Zhejiang, China, Springer International Publishing, November 2018, pp. 215-229.
https://hal.inria.fr/hal-01875936
[27]
P. de Souza Junior, K. J. Matteussi, J. C. S. Dos Anjos, J. D. D. D. Santos, A. da Silva Veith, C. R. Geyer.
Aten: A Dispatcher for Big Data Applications in Heterogeneous Systems, in: 2018 International Conference on High Performance Computing Simulation (HPCS), Orléans, France, July 2018, pp. 585-592. [ DOI : 10.1109/HPCS.2018.00098 ]
https://hal.inria.fr/hal-01876973

National Conferences with Proceedings

[28]
E. Caron, Z. Houmani.
Architecture Microservices pilotée par les données, in: CAL 2018 - Conférence francophone sur les Architectures Logicielles, Grenoble, France, June 2018, pp. 1-6.
https://hal.inria.fr/hal-01808758

Conferences without Proceedings

[29]
M. Chardet, H. Coullon, C. Pérez.
Behavioral interfaces for reconfiguration of component models, in: Compas 2018 - Conférence d’informatique en Parallélisme, Architecture et Système, Toulouse, France, July 2018, pp. 1-8.
https://hal.inria.fr/hal-01897803
[30]
A. Chevalier.
Vers un déploiement conforme et économique des licences dans une architecture Cloud, in: COMPAS 2018, Toulouse, France, July 2018.
https://hal.archives-ouvertes.fr/hal-01905417
[31]
T. Pellissier Tanon, M. Dias de Assuncao, E. Caron, F. M. Suchanek.
Demoing Platypus – A Multilingual Question Answering Platform for Wikidata, in: ESWC 2018 - Extended Semantic Web Conference, Heracklion, Greece, June 2018, pp. 1-5. [ DOI : 10.1007/978-3-319-98192-5_21 ]
https://hal.archives-ouvertes.fr/hal-01824972

Internal Reports

[32]
T. P. Tanon, M. Dias de Assuncao, E. Caron, F. Suchanek.
Platypus – A Multilingual Question Answering Platform for Wikidata, LIP - ENS Lyon, 2018.
https://hal.archives-ouvertes.fr/hal-01730479

Scientific Popularization

[33]
G. Amarasinghe, M. Dias de Assuncao, A. Harwood, S. Karunasekera.
A Data Stream Processing Optimisation Framework for Edge Computing Applications, in: ISORC 2018 - IEEE 21st International Symposium on Real-Time Distributed Computing, Singapore, Singapore, IEEE, May 2018, pp. 91-98. [ DOI : 10.1109/ISORC.2018.00020 ]
https://hal.inria.fr/hal-01862063
[34]
L. L. Nesi, M. Pillon, M. Dias de Assuncao, G. P. Koslovski.
GPU-Accelerated Algorithms for Allocating Virtual Infrastructure in Cloud Data Centers, in: CCGRID 2018 - 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Washington, France, IEEE, May 2018, pp. 364-365. [ DOI : 10.1109/CCGRID.2018.00057 ]
https://hal.inria.fr/hal-01862065
[35]
A. da Silva Veith, M. Dias de Assuncao, L. Lefèvre.
Latency-Aware Strategies for Placing Data Stream Analytics onto Edge Computing, July 2018, 1 p, HotEdge'18 - USENIX Workshop on Hot Topics in Edge Computing, Poster.
https://hal.inria.fr/hal-01875999
References in notes
[36]
R. Ge, X. Feng, S. Song, H.-C. Chang, D. Li, K. W. Cameron.
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http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4906989
[37]
A. Geist, S. Dosanjh.
IESP Exascale Challenge: Co-Design of Architectures and Algorithms, in: Int. J. High Perform. Comput. Appl., November 2009, vol. 23, no 4, pp. 401–402.
http://dx.doi.org/10.1177/1094342009347766
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[40]
G. Madec.
NEMO ocean engine, Institut Pierre-Simon Laplace (IPSL), France, 2008, no 27, ISSN No 1288-1619.
[41]
OpenACC.
The OpenACC Application Programming Interface, November 2011, Version 1.0.
http://www.openacc-standard.org
[42]
OpenMP Architecture Review Board.
OpenMP Application Program Interface, July 2011, Version 3.1.
http://www.openmp.org
[43]
T. Ristenpart, E. Tromer, H. Shacham, S. Savage.
Hey, You, Get Off of My Cloud: Exploring Information Leakage in Third-Party Compute Clouds, in: Proceedings of the 16th ACM conference on Computer and communications security, New York, NY, USA, CCS '09, ACM, 2009, pp. 199–212.
http://doi.acm.org/10.1145/1653662.1653687
[44]
B. 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.
[45]
C. Szyperski.
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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.