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Profil

PINEL Frederic

Main Referenced Co-authors
BOUVRY, Pascal  (29)
PECERO, Johnatan  (9)
DORRONSORO, Bernabé  (8)
VARRETTE, Sébastien  (6)
KIEFFER, Emmanuel  (5)
Main Referenced Keywords
scheduling (3); HPC (2); millicomputing (2); multi-core (2); Private Equity (2);
Main Referenced Unit & Research Centers
ULHPC - University of Luxembourg: High Performance Computing (10)
Main Referenced Disciplines
Computer science (33)

Publications (total 33)

The most downloaded
1902 downloads
Valentini, G. L., Lassonde, W., Khan, S. U., Min-Allah, N., Madani, S. A., Li, J., Zhang, L., Wang, L., Ghani, N., Kolodziej, J., Li, H., Zomaya, A. Y., Xu, C.-Z., Balaji, P., Vishnu, A., Pinel, F., Pecero, J., Kliazovich, D., & Bouvry, P. (2011). An overview of energy efficiency techniques in cluster computing systems. Cluster Computing, 16 (1), 3-15. doi:10.1007/s10586-011-0171-x https://hdl.handle.net/10993/9492

The most cited

173 citations (Scopus®)

Valentini, G. L., Lassonde, W., Khan, S. U., Min-Allah, N., Madani, S. A., Li, J., Zhang, L., Wang, L., Ghani, N., Kolodziej, J., Li, H., Zomaya, A. Y., Xu, C.-Z., Balaji, P., Vishnu, A., Pinel, F., Pecero, J., Kliazovich, D., & Bouvry, P. (2011). An overview of energy efficiency techniques in cluster computing systems. Cluster Computing, 16 (1), 3-15. doi:10.1007/s10586-011-0171-x https://hdl.handle.net/10993/9492

Talbot, P., Pinel, F., & Bouvry, P. (June 2022). A Variant of Concurrent Constraint Programming on GPU. Proceedings of the AAAI Conference on Artificial Intelligence, 36 (4), 3830-3839. doi:10.1609/aaai.v36i4.20298
Peer reviewed

Varrette, S., Kieffer, E., Pinel, F., Krishnasamy, E., Peter, S., Cartiaux, H., & Besseron, X. (2021). RESIF 3.0: Toward a Flexible & Automated Management of User Software Environment on HPC facility. In ACM Practice and Experience in Advanced Research Computing (PEARC'21) (PEARC'21). Virtual Event, Unknown/unspecified: Association for Computing Machinery (ACM). doi:10.1145/3437359.3465600
Peer reviewed

Comelli, T., Pinel, F., & Bouvry, P. (2021). Comparing elementary cellular automata classifications with a convolutional neural network. Proceedings of International Conference on Agents and Artificial Intelligence (ICAART). doi:10.5220/0010160004670474
Peer reviewed

Kieffer, E., Pinel, F., Meyer, T., Gloukoviezoff, G., Lucius, H., & Bouvry, P. (2021). Proximal Policy Optimisation for a Private Equity Recommitment System. In Springer CCIS series.
Peer reviewed

Kieffer, E., Pinel, F., Meyer, T., Gloukoviezoff, G., Lucius, H., & Bouvry, P. (2021). Evolutionary Learning of Private Equity Recommitment Strategies. In 2021 IEEE Symposium Series on Computational Intelligence (SSCI). doi:10.1109/SSCI50451.2021.9660088
Peer reviewed

Mahon, S., Varrette, S., Plugaru, V., Pinel, F., & Bouvry, P. (2020). Performance Analysis of Distributed and Scalable Deep Learning. In 20th IEEE/ACM Intl. Symp. on Cluster, Cloud and Internet Computing (CCGrid'20) (pp. 760--766). Melbourne, Australia: IEEE/ACM.
Peer reviewed

Pinel, F., Yin, J.-X., Hundt, C., Kieffer, E., Varrette, S., Bouvry, P., & See, S. (2020). Evolving a Deep Neural Network Training Time Estimator. Communications in Computer and Information Science. doi:10.1007/978-3-030-41913-4_2
Peer reviewed

Thanapol, P., Lavangnananda, K., Bouvry, P., Pinel, F., & Leprevost, F. (2020). Reducing overfitting and improving generalization in training convolutional neural network under limited sample sizes in image recognition. In 5th International Conference on Information Technology, Bangsaen 21-22 October 2020 (pp. 300-305).
Peer reviewed

Varrette, S., Pinel, F., Kieffer, E., Danoy, G., & Bouvry, P. (2019). Automatic Software Tuning of Parallel Programs for Energy-Aware Executions. In Proc. of 13th Intl. Conf. on Parallel Processing and Applied Mathematics (PPAM 2019). Bialystok, Poland: Springer Verlag.
Peer reviewed

Dorronsoro, B., & Pinel, F. (2017). Combining machine learning and genetic algorithms to solve the independent tasks scheduling problem. In 2017 3rd IEEE International Conference on Cybernetics (CYBCONF) (pp. 1--8). doi:10.1109/CYBConf.2017.7985766
Peer reviewed

Pinel, F. (2014). Energy-Performance Optimization for the Cloud [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/17521

Plugaru, V., Varrette, S., Pinel, F., & Bouvry, P. (2014). Evaluating the HPC Performance and Energy-Efficiency of Intel and ARM-based systems with synthetic and bioinformatics workloads. CSC.

Pinel, F., & Dorronsoro, B. (2014). Savant: Automatic generation of a parallel scheduling heuristic for map-reduce. International Journal of Hybrid Intelligent Systems, 11 (4), 287--302. doi:10.3233/HIS-140200
Peer Reviewed verified by ORBi

Pinel, F., Dorronsoro, B., Bouvry, P., & khan, S. (2014). It's Not a Bug, It'sa Feature: Wait-free Asynchronous Cellular Genetic Algorithm. In R. Wyrzykowski & J. Dongarra (Eds.), Parallel Processing and Applied Mathematics 10th International Conference, PPAM 2013 Warsaw, Poland, September 8–11, 2013. LNCS.
Peer reviewed

Delplace, V., Manneback, P., Pinel, F., Varrette, S., & Bouvry, P. (2013). Comparing the Performance and Power Usage of GPU and ARM Clusters for Map-Reduce. In Proc. of the 3rd Intl. Conf. on Cloud and Green Computing (CGC'13). IEEE Computer Society. doi:10.1109/CGC.2013.38
Peer reviewed

Pinel, F., Dorronsoro, B., Bouvry, P., & Khan, S. (2013). Savant: Automatic parallelization of a scheduling heuristic with machine learning. In Nature and Biologically Inspired Computing (NaBIC), 2013 World Congress on. doi:10.1109/NaBIC.2013.6617837
Peer reviewed

Pinel, F., Dorronsoro, B., & Bouvry, P. (31 January 2013). Solving very large instances of the scheduling of independent tasks problem on the GPU. Journal of Parallel and Distributed Computing, 73 (1), 101-110. doi:10.1016/j.jpdc.2012.02.018
Peer reviewed

Hussain, H., Malik, S. U. R., Hameed, A., Khan, S. U., Bickler, G., Min-Allah, N., Qureshi, M. B., Zhang, L., Yongji, W., Ghani, N., Kolodziej, J., Zomaya, A. Y., Xu, C.-Z., Balaji, P., Vishnu, A., Pinel, F., Pecero, J., Kliazovich, D., Bouvry, P., ... Rayes, A. (2013). A survey on resource allocation in high performance distributed computing systems. Parallel Computing, 39 (11), 709 - 736. doi:10.1016/j.parco.2013.09.009
Peer Reviewed verified by ORBi

Ruiz, P., Dorronsoro, B., Valentini, G., Pinel, F., & Bouvry, P. (2012). Optimisation of the enhanced distance based broadcasting protocol for MANETs. Journal of Supercomputing, 62 (3), 1213-1240. doi:10.1007/s11227-011-0564-x
Peer reviewed

Pinel, F., Dorronsoro, B., Pecero, J., Bouvry, P., & Khan, S. U. (2012). A two-phase heuristic for the energy-efficient scheduling of independent tasks on computational grids. Cluster Computing. doi:10.1007/s10586-012-0207-x
Peer Reviewed verified by ORBi

Pecero, J., Pinel, F., Bouvry, P., & Fraire Huacuja, H. J. (2011). A Multi-Objective GRASP for Energy-aware Scheduling. In International Congress on Computer Science Research (pp. 401-414).
Peer reviewed

Valentini, G. L., Lassonde, W., Khan, S. U., Min-Allah, N., Madani, S. A., Li, J., Zhang, L., Wang, L., Ghani, N., Kolodziej, J., Li, H., Zomaya, A. Y., Xu, C.-Z., Balaji, P., Vishnu, A., Pinel, F., Pecero, J., Kliazovich, D., & Bouvry, P. (2011). An overview of energy efficiency techniques in cluster computing systems. Cluster Computing, 16 (1), 3-15. doi:10.1007/s10586-011-0171-x
Peer Reviewed verified by ORBi

Pinel, F., Danoy, G., & Bouvry, P. (2011). Evolutionary Algorithm Parameter Tuning with Sensitivity Analysis. In Security and Intelligent Information Systems. Springer. doi:10.1007/978-3-642-25261-7_16
Peer reviewed

Pinel, F., Pecero, J., Bouvry, P., & Khan, S. U. (2011). A two-phase heuristic for the scheduling of independent tasks on computational grids. In High Performance Computing and Simulation (HPCS), 2011 International Conference on (pp. 471-477). IEEE. doi:10.1109/HPCSim.2011.5999862
Peer reviewed

Pinel, F., & Bouvry, P. (2011). A Model for Energy-efficient Task Mapping on Milliclusters. Proceedings of the Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering, 0-32. doi:10.4203/ccp.95.32

Pinel, F., Pecero, J., Bouvry, P., & Khan, S. U. (2011). Energy-efficient scheduling on milliclusters with performance constraints. In Green Computing and Communications (GreenCom), 2011 IEEE/ACM International Conference on. doi:10.1109/GreenCom.2011.16
Peer reviewed

Pinel, F., Pecero, J., Bouvry, P., & Khan, S. (2011). A Review on Task Performance Prediction in Multi-core Based Systems. In Computer and Information Technology (CIT), 2011 IEEE 11th International Conference on. doi:10.1109/CIT.2011.107
Peer reviewed

Pecero, J., Pinel, F., Dorronsoro, B., Danoy, G., Bouvry, P., & Zomaya, A. (2011). Efficient Hierarchical Task Scheduling on GRIDS Accounting for Computation and Communications. In P. Bouvry, H. González-Vélez, ... J. Kolodziej (Eds.), Intelligent Decision Systems in Large-Scale Distributed Environments, 362. Springer.
Peer reviewed

Pinel, F., Pecero, J., Bouvry, P., & Khan, S. (2010). Memory-aware Green Scheduling on Multi-core Processors. Proceedings of the Second International Workshop on Green Computing, 485 - 488. doi:10.1109/ICPPW.2010.71
Peer reviewed

Pinel, F., Dorronsoro, B., & Bouvry, P. (2010). A New Parallel Asynchronous Cellular Genetic Algorithm for Scheduling in Grids. In Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on (pp. 1-8). IEEE. doi:10.1109/IPDPSW.2010.5470698
Peer reviewed

Pinel, F., Dorronsoro, B., & Bouvry, P. (2010). On the Parallelization of Asynchronous Cellular Genetic Algorithms for Multi-core Architectures [Paper presentation]. ALIO-INFORMS Joint International Meeting, Buenos Aires, Argentina.

Pinel, F., Dorronsoro, B., & Bouvry, P. (2009). A new parallel asynchronous cellular genetic algorithm for de novo genomic sequencing. In 2009 International Conference of Soft Computing and Pattern Recognition (pp. 178--183). doi:10.1109/SoCPaR.2009.45
Peer reviewed

Pinel, F., & Bouvry, P. (2009). Weakness analysis of a key stream generator based on cellular automata. In International Conference on Parallel Processing and Applied Mathematics (pp. 547--552).
Peer reviewed

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