OAL: an Implementation of an Actor Language on a Massively Parallel Message-Passing Architecture. - Jean-Louis Giavitto; Cécile Germain; Julian Fowler (EDMCC, 1991)

Balanced Distributed Memory Parallel Computers. - Franck Cappello; Jean-Luc Béchennec; Franck Delaplace; Cécile Germain; Jean-Louis Giavitto; Vincent Néri; Daniel Etiemble (ICPP (1), 1993)

A Parralel Architecture Based on Compiled Communication Schemes. - Franck Cappello; Jean-Luc Béchennec; Franck Delaplace; Damien Gautier de Lahaut; Cécile Germain; Jean-Louis Giavitto; Vincent Néri; Daniel Etiemble (PARCO, 1993)

A Communication Architecture for a Massively Parallel Message-Passing Multicomputer. - Cécile Germain; Jean-Luc Béchennec; Daniel Etiemble; Jean-Paul Sansonnet (J. Parallel Distributed Comput., 1993)

Static Communications in Parallel Scientific Propgrams. - Damien Gautier de Lahaut; Cécile Germain (PARLE, 1994)

A Static Execution Model for Data Parallelism. - Cécile Germain; Franck Delaplace; R. Carlier (Parallel Process. Lett., 1994)

Automatic Vectorization of Communications for Data-Parallel Programs. - Cécile Germain; Franck Delaplace (Euro-Par, 1995)

Toward High Communication Performance through Compiled Communications on a Circuit Switched Interconnection Network. - Franck Cappello; Cécile Germain (HPCA, 1995)

Standard Microprocessors Versus Custom Processing Elements for Massively Parallel Architectures. - Daniel Etiemble; Cécile Germain (PaCT, 1995)

The Static Network: A High Performance Reconfigurable Communication Network. - Cécile Germain; Franck Cappello (Parallel Process. Lett., 1995)

A Static Approach for Compiling Communications in Paranel Scientific Programs. - Damien Gautier de Lahaut; Cécile Germain (Sci. Program., 1995)

State of the Art in Compiling HPF. - Fabien Coelho; Cécile Germain; Jean-Louis Pazat (The Data Parallel Programming Model, 1996)

Improving Irregular Parallel Communication Through Sorting. - Cécile Germain; Damien Gautier de Lahaut (HPCN Europe, 1997)

An HPF Case Study of a Domain-Decomposition Based Irregular Application. - Cécile Germain; Jacques Laminie; Marie Pallud; Daniel Etiemble (PaCT, 1997)

Compiling the Block-Cyclic Distribution. - Cécile Germain; Franck Delaplace (PARCO, 1997)

A Tracing Protocol for Optimizing Data Parallel Irregular Computations. - Thomas Brandes; Cécile Germain (Euro-Par, 1998)

Java-based coupling for parallel predictive-adaptive domain decomposition. - Cécile Germain-Renaud; Vincent Néri (Sci. Program., 1999)

XtremWeb: Building an Experimental Platform for Global Computing. - Cécile Germain; Vincent Néri; Gilles Fedak; Franck Cappello (GRID, 2000)

A schedule cache for data parallel unstructured computations. - Thomas Brandes; Cécile Germain-Renaud (Parallel Comput., 2000)

XtremWeb: A Generic Global Computing System. - Gilles Fedak; Cécile Germain; Vincent Néri; Franck Cappello (CCGRID, 2001)

Global Computing Systems. - Cécile Germain; Gilles Fedak; Vincent Néri; Franck Cappello (LSSC, 2001)

MPICH-CM: A Communication Library Design for a P2P MPI Implementation. - Anton Selikhov; George Bosilca; Cécile Germain; Gilles Fedak; Franck Cappello (PVM/MPI, 2002)

MPICH-V: toward a scalable fault tolerant MPI for volatile nodes. - George Bosilca; Aurélien Bouteiller; Franck Cappello; Samir Djilali; Gilles Fedak; Cécile Germain; Thomas Hérault; Pierre Lemarinier; Oleg Lodygensky; Frédéric Magniette; Vincent Néri; Anton Selikhov (SC, 2002)

Result checking in global computing systems. - Cécile Germain-Renaud; Nathalie Playez (ICS, 2003)

CMDE: A Channel Memory Based Dynamic Environment for Fault-Tolerant Message Passing Based on MPICH-V Architecture. - Anton Selikhov; Cécile Germain (PaCT, 2003)

Grid-enabling medical image analysis. - Cécile Germain; Vincent Breton; Patrick Clarysse; Yann Gaudeau; Tristan Glatard; Emmanuel Jeannot; Yannick Legré; Charles Loomis; Johan Montagnat; Jean-Marie Moureaux; Angel Osorio; Xavier Pennec; et al. (CCGRID, 2005)

Grid result checking. - Cécile Germain-Renaud; Dephine Monnier-Ragaigne (Conf. Computing Frontiers, 2005)

Grid Scheduling for Interactive Analysis. - Cécile Germain-Renaud; Romain Texier; Angel Osorio; Charles Loomis (HealthGrid, 2006)

Toward Behavioral Modeling of a Grid System: Mining the Logging and Bookkeeping Files. - Xiangliang Zhang 001; Michèle Sebag; Cécile Germain (ICDM Workshops, 2007)

Grid Differentiated Services: A Reinforcement Learning Approach. - Julien Perez; Cécile Germain-Renaud; Balázs Kégl; Charles Loomis (CCGRID, 2008)

Utility-Based Reinforcement Learning for Reactive Grids. - Julien Perez; Cécile Germain-Renaud; Balázs Kégl; Charles Loomis (ICAC, 2008)

Scheduling for Responsive Grids. - Cécile Germain-Renaud; Charles Loomis; Jakub T. Moscicki; Romain Texier (J. Grid Comput., 2008)

Multi-scale Real-Time Grid Monitoring with Job Stream Mining. - Xiangliang Zhang 001; Michèle Sebag; Cécile Germain-Renaud (CCGRID, 2009)

Toward autonomic grids: analyzing the job flow with affinity streaming. - Xiangliang Zhang 001; Cyril Furtlehner; Julien Perez; Cécile Germain-Renaud; Michèle Sebag (KDD, 2009)

The Convergence of Clouds, Grids, and Autonomics. - Cécile Germain-Renaud; Omer F. Rana (IEEE Internet Comput., 2009)

Discovering Piecewise Linear Models of Grid Workload. - Tamás Éltetö; Cécile Germain-Renaud; Pascal Bondon; Michèle Sebag (CCGRID, 2010)

Adaptively detecting changes in Autonomic Grid Computing. - Xiangliang Zhang 001; Cécile Germain; Michèle Sebag (GRID, 2010)

Multi-objective Reinforcement Learning for Responsive Grids. - Julien Perez; Cécile Germain-Renaud; Balázs Kégl; Charles Loomis (J. Grid Comput., 2010)

The Grid Observatory. - Cécile Germain-Renaud; Alain Cady; Philippe Gauron; Michel Jouvin; Charles Loomis; Janusz Martyniak; Julien Nauroy; Guillaume Philippon; Michèle Sebag (CCGRID, 2011)

The Green Computing Observatory: A Data Curation Approach for Green IT. - Cécile Germain-Renaud; Frédéric Fürst; Michel Jouvin; Gilles Kassel; Julien Nauroy; Guillaume Philippon (DASC, 2011)

Characterizing E-Science File Access Behavior via Latent Dirichlet Allocation. - Yusik Kim; Cécile Germain-Renaud (UCC, 2011)

Towards Non-Stationary Grid Models. - Tamás Éltetö; Cécile Germain-Renaud; Pascal Bondon; Michèle Sebag (J. Grid Comput., 2011)

Distributed Monitoring with Collaborative Prediction. - Dawei Feng; Cécile Germain-Renaud; Tristan Glatard (CCGRID, 2012)

Scalable structural break detection. - Tamás Éltetö; Nikolaus Hansen; Cécile Germain-Renaud; Pascal Bondon (Appl. Soft Comput., 2012)

Efficient distributed monitoring with active Collaborative Prediction. - Dawei Feng; Cécile Germain; Tristan Glatard (Future Gener. Comput. Syst., 2013)

Sequential Fault Monitoring. - Dawei Feng; Cécile Germain; Julien Nauroy (ICCAC, 2014)

The Higgs boson machine learning challenge. - Claire Adam-Bourdarios; Glen Cowan; Cécile Germain; Isabelle Guyon; Balázs Kégl; David Rousseau (HEPML@NIPS, 2014)

Data Stream Clustering With Affinity Propagation. - Xiangliang Zhang 001; Cyril Furtlehner; Cécile Germain-Renaud; Michèle Sebag (IEEE Trans. Knowl. Data Eng., 2014)

Certifying the Interoperability of RDF Database Systems. - Karima Rafes; Julien Nauroy; Cécile Germain (LDQ@ESWC, 2015)

Fault Monitoring with Sequential Matrix Factorization. - Dawei Feng; Cécile Germain (ACM Trans. Auton. Adapt. Syst., 2015)

How machine learning won the Higgs boson challenge. - Claire Adam-Bourdarios; Glen Cowan; Cécile Germain; Isabelle Guyon; Balázs Kégl; David Rousseau (ESANN, 2016)

TrackML: A High Energy Physics Particle Tracking Challenge. - Paolo Calafiura; Steven Farrell; Heather M. Gray; Jean-Roch Vlimant; Vincenzo Innocente; Andreas Salzburger; Sabrina Amrouche; Tobias Golling; Moritz Kiehn; Victor Estrade; Cécile Germain; Isabelle Guyon; et al. (eScience, 2018)

Systematics aware learning : a case study in high energy physics. - Victor Estrade; Cécile Germain; Isabelle Guyon; David Rousseau (ESANN, 2018)

A Case Study on Optimizing Accurate Half Precision Average. - Kenny Peou; Alan Kelly; Joel Falcou; Cécile Germain (SBAC-PAD, 2018)

TrackML Particle Tracking Challenge. - Andreas Salzburger; Vincenzo Innocente; Jean-Roch Vlimant; David Rousseau; Vladimir V. Gligorov; Victor Estrade; Laurent Basara; Paolo Calafiura; Steven Farell; Heather M. Gray; Tobias Golling; Moritz Kiehn; et al. (Zenodo, 2018)

TrackML Throughput Phase. - Andreas Salzburger; Vincenzo Innocente; Jean-Roch Vlimant; David Rousseau; Vladimir V. Gligorov; Laurent Basara; Victor Estrade; Paolo Calafiura; Steven Farell; Heather M. Gray; Tobias Golling; Moritz Kiehn; et al. (Zenodo, 2018)

Anomaly Detection with Conditional Variational Autoencoders. - Adrian Alan Pol; Victor Berger; Cécile Germain; Gianluca Cerminara; Maurizio Pierini (ICMLA, 2019)

Detector Monitoring with Artificial Neural Networks at the CMS Experiment at the CERN Large Hadron Collider. - Adrian Alan Pol; Gianluca Cerminara; Cécile Germain; Maurizio Pierini; Agrima Seth (Comput. Softw. Big Sci., 2019)

The Tracking Machine Learning Challenge: Throughput Phase. - Sabrina Amrouche; Laurent Basara; Paolo Calafiura; Dmitry Emeliyanov; Victor Estrade; Steven Farrell; Cécile Germain; Vladimir Vava Gligorov; Tobias Golling; Sergey Gorbunov 002; Heather M. Gray; Isabelle Guyon; et al. (Comput. Softw. Big Sci., 2023)