Efficient Inter-Device Data-Forwarding in the Madeleine Communication Library. - Olivier Aumage; Lionel Eyraud; Raymond Namyst (IPDPS, 2001)

High Performance Computing on Heterogeneous Clusters with the Madeleine II Communication Library. - Olivier Aumage; Luc Bougé; Lionel Eyraud; Guillaume Mercier; Raymond Namyst; Loïc Prylli; Alexandre Denis 001; Jean-François Méhaut (Clust. Comput., 2002)

Programming environments for high-performance Grid computing: the Albatross project. - Thilo Kielmann; Henri E. Bal; Jason Maassen; Rob van Nieuwpoort; Lionel Eyraud; Rutger F. H. Hofman; Kees Verstoep (Future Gener. Comput. Syst., 2002)

Models for Scheduling on Large Scale Platforms: Which Policy for which Application? - Pierre-François Dutot; Lionel Eyraud; Grégory Mounié; Denis Trystram (IPDPS, 2004)

Bi-criteria algorithm for scheduling jobs on cluster platforms. - Pierre-François Dutot; Lionel Eyraud; Grégory Mounié; Denis Trystram (SPAA, 2004)

Scheduling on large scale distributed platforms: from models to implementations. - Pierre-François Dutot; Lionel Eyraud; Grégory Mounié; Denis Trystram (Int. J. Found. Comput. Sci., 2005)

A Pragmatic Analysis Of Scheduling Environments On New Computing Platforms. - Lionel Eyraud (Int. J. High Perform. Comput. Appl., 2006)

Assessing the Quality of Automatically Built Network Representations. - Lionel Eyraud-Dubois; Martin Quinson (CCGRID, 2007)

A First Step Towards Automatically Building Network Representations. - Lionel Eyraud-Dubois; Arnaud Legrand; Martin Quinson; Frédéric Vivien (Euro-Par, 2007)

Analysis of Scheduling Algorithms with Reservations. - Lionel Eyraud-Dubois; Gregory Mounie; Denis Trystram (IPDPS, 2007)

Scheduling divisibleworkloads on heterogeneous platforms under bounded multi-port model. - Olivier Beaumont; Nicolas Bonichon; Lionel Eyraud-Dubois (IPDPS, 2008)

A Distributed Algorithm for Resource Clustering in Large Scale Platforms. - Olivier Beaumont; Nicolas Bonichon; Philippe Duchon; Lionel Eyraud-Dubois; Hubert Larchevêque (OPODIS, 2008)

The Influence of Platform Models on Scheduling Techniques. - Lionel Eyraud-Dubois; Arnaud Legrand (Introduction to Scheduling, 2009)

Allocation of Clients to Multiple Servers on Large Scale Heterogeneous Platforms. - Olivier Beaumont; Lionel Eyraud-Dubois; Hejer Rejeb; Christopher Thraves (ICPADS, 2009)

Broadcasting on large scale heterogeneous platforms under the bounded multi-port model. - Olivier Beaumont; Lionel Eyraud-Dubois; Shailesh Kumar Agrawal (IPDPS, 2010)

Using the Last-Mile Model as a Distributed Scheme for Available Bandwidth Prediction. - Olivier Beaumont; Lionel Eyraud-Dubois; Young J. Won (Euro-Par (1), 2011)

Broadcasting on Large Scale Heterogeneous Platforms with Connectivity Artifacts under the Bounded Multi-port Model. - Olivier Beaumont; Nicolas Bonichon; Lionel Eyraud-Dubois; Przemyslaw Uznanski (ICPADS, 2011)

Minimizing Weighted Mean Completion Time for Malleable Tasks Scheduling. - Olivier Beaumont; Nicolas Bonichon; Lionel Eyraud-Dubois; Loris Marchal (IPDPS, 2012)

Reliable Service Allocation in Clouds with Memory and Capacity Constraints. - Olivier Beaumont; Lionel Eyraud-Dubois; Pierre Pesneau; Paul Renaud-Goud (Euro-Par Workshops, 2013)

Reliable Service Allocation in Clouds. - Olivier Beaumont; Lionel Eyraud-Dubois; Hubert Larchevêque (IPDPS, 2013)

Optimizing Resource allocation while handling SLA violations in Cloud Computing platforms. - Lionel Eyraud-Dubois; Hubert Larchevêque (IPDPS, 2013)

Efficient and Robust Allocation Algorithms in Clouds under Memory Constraints. - Olivier Beaumont; Lionel Eyraud-Dubois; Paul Renaud-Goud (CoRR, 2013)

Heterogeneous Resource Allocation under Degree Constraints. - Olivier Beaumont; Lionel Eyraud-Dubois; Christopher Thraves Caro; Hejer Rejeb (IEEE Trans. Parallel Distributed Syst., 2013)

Efficient and robust allocation algorithms in clouds under memory constraints. - Olivier Beaumont; Juan Angel Lorenzo 001; Lionel Eyraud-Dubois; Paul Renaud-Goud (HiPC, 2014)

Point-to-Point and Congestion Bandwidth Estimation: Experimental Evaluation on PlanetLab Data. - Lionel Eyraud-Dubois; Przemyslaw Uznanski (IPDPS Workshops, 2014)

Analyzing Real Cluster Data for Formulating Allocation Algorithms in Cloud Platforms. - Olivier Beaumont; Lionel Eyraud-Dubois; Juan Ángel Lorenzo del Castillo (SBAC-PAD, 2014)

Broadcasting on Large Scale Heterogeneous Platforms under the Bounded Multi-Port Model. - Olivier Beaumont; Nicolas Bonichon; Lionel Eyraud-Dubois; Przemyslaw Uznanski; Shailesh Kumar Agrawal (IEEE Trans. Parallel Distributed Syst., 2014)

Column Generation Integer Programming for Allocating Jobs with Periodic Demand Variations. - Ikbel Belaid; Lionel Eyraud-Dubois (ALGOCLOUD, 2015)

Allocating Jobs with Periodic Demand Variations. - Olivier Beaumont; Ikbel Belaid; Lionel Eyraud-Dubois; Juan Ángel Lorenzo del Castillo (Euro-Par, 2015)

Bridging the Gap between Performance and Bounds of Cholesky Factorization on Heterogeneous Platforms. - Emmanuel Agullo; Olivier Beaumont; Lionel Eyraud-Dubois; Julien Herrmann; Suraj Kumar; Loris Marchal; Samuel Thibault (IPDPS Workshops, 2015)

Comparison of Static and Runtime Resource Allocation Strategies for Matrix Multiplication. - Olivier Beaumont; Lionel Eyraud-Dubois; Abdou Guermouche; Thomas Lambert (SBAC-PAD, 2015)

Parallel Scheduling of Task Trees with Limited Memory. - Lionel Eyraud-Dubois; Loris Marchal; Oliver Sinnen; Frédéric Vivien (ACM Trans. Parallel Comput., 2015)

Cuboid Partitioning for Parallel Matrix Multiplication on Heterogeneous Platforms. - Olivier Beaumont; Lionel Eyraud-Dubois; Thomas Lambert (Euro-Par, 2016)

Scheduling of Linear Algebra Kernels on Multiple Heterogeneous Resources. - Olivier Beaumont; Terry Cojean; Lionel Eyraud-Dubois; Abdou Guermouche; Suraj Kumar (HiPC, 2016)

Are Static Schedules so Bad? A Case Study on Cholesky Factorization. - Emmanuel Agullo; Olivier Beaumont; Lionel Eyraud-Dubois; Suraj Kumar (IPDPS, 2016)

A New Approximation Algorithm for Matrix Partitioning in Presence of Strongly Heterogeneous Processors. - Olivier Beaumont; Lionel Eyraud-Dubois; Thomas Lambert (IPDPS, 2016)

Approximation Proofs of a Fast and Efficient List Scheduling Algorithm for Task-Based Runtime Systems on Multicores and GPUs. - Olivier Beaumont; Lionel Eyraud-Dubois; Suraj Kumar (IPDPS, 2017)

Using Static Allocation Algorithms for Matrix Matrix Multiplication on Multicores and GPUs. - Lionel Eyraud-Dubois; Thomas Lambert (ICPP, 2018)

What Size Should Your Buffers to Disks be? - Guillaume Aupy; Olivier Beaumont; Lionel Eyraud-Dubois (IPDPS, 2018)

Fast approximation algorithms for task-based runtime systems. - Olivier Beaumont; Lionel Eyraud-Dubois; Suraj Kumar (Concurr. Comput. Pract. Exp., 2018)

Performance Models for Data Transfers: A Case Study with Molecular Chemistry Kernels. - Suraj Kumar; Lionel Eyraud-Dubois; Sriram Krishnamoorthy (ICPP, 2019)

Sizing and Partitioning Strategies for Burst-Buffers to Reduce IO Contention. - Guillaume Aupy; Olivier Beaumont; Lionel Eyraud-Dubois (IPDPS, 2019)

Influence of Tasks Duration Variability on Task-Based Runtime Schedulers. - Olivier Beaumont; Lionel Eyraud-Dubois; Yihong Gao (IPDPS Workshops, 2019)

Optimal checkpointing for heterogeneous chains: how to train deep neural networks with limited memory. - Olivier Beaumont; Lionel Eyraud-Dubois; Julien Herrmann; Alexis Joly; Alena Shilova (CoRR, 2019)

Recent Advances in Matrix Partitioning for Parallel Computing on Heterogeneous Platforms. - Olivier Beaumont; Brett A. Becker; Ashley M. DeFlumere; Lionel Eyraud-Dubois; Thomas Lambert; Alexey L. Lastovetsky (IEEE Trans. Parallel Distributed Syst., 2019)

Optimal GPU-CPU Offloading Strategies for Deep Neural Network Training. - Olivier Beaumont; Lionel Eyraud-Dubois; Alena Shilova (Euro-Par, 2020)

2D Static Resource Allocation for Compressed Linear Algebra and Communication Constraints. - Olivier Beaumont; Lionel Eyraud-Dubois; Mathieu Vérité (HiPC, 2020)

Algorithms for Preemptive Co-scheduling of Kernels on GPUs. - Lionel Eyraud-Dubois; Cristiana Bentes (HiPC, 2020)

Analysis of a List Scheduling Algorithm for Task Graphs on Two Types of Resources. - Lionel Eyraud-Dubois; Suraj Kumar (IPDPS, 2020)

TEXTAROSSA: Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascale. - Giovanni Agosta; Daniele Cattaneo 002; William Fornaciari; Andrea Galimberti; Giuseppe Massari; Federico Reghenzani; Federico Terraneo; Davide Zoni; Carlo Brandolese; Massimo Celino; Francesco Iannone; Paolo Palazzari; et al. (DSD, 2021)

Pipelined Model Parallelism: Complexity Results and Memory Considerations. - Olivier Beaumont; Lionel Eyraud-Dubois; Alena Shilova (Euro-Par, 2021)

Efficient Combination of Rematerialization and Offloading for Training DNNs. - Olivier Beaumont; Lionel Eyraud-Dubois; Alena Shilova (NeurIPS, 2021)

Scheduling on Two Types of Resources: A Survey. - Olivier Beaumont; Louis-Claude Canon; Lionel Eyraud-Dubois; Giorgio Lucarelli; Loris Marchal; Clément Mommessin; Bertrand Simon 001; Denis Trystram (ACM Comput. Surv., 2021)

Survey on Efficient Training of Large Neural Networks. - Julia Gusak; Daria Cherniuk; Alena Shilova; Alexandr Katrutsa; Daniel Bershatsky; Xunyi Zhao; Lionel Eyraud-Dubois; Oleh Shliazhko; Denis Dimitrov; Ivan V. Oseledets; Olivier Beaumont (IJCAI, 2022)

MadPipe: Memory Aware Dynamic Programming Algorithm for Pipelined Model Parallelism. - Olivier Beaumont; Lionel Eyraud-Dubois; Alena Shilova (IPDPS Workshops, 2022)

Symmetric Block-Cyclic Distribution: Fewer Communications Leads to Faster Dense Cholesky Factorization. - Olivier Beaumont; Philippe Duchon; Lionel Eyraud-Dubois; Julien Langou; Mathieu Vérité (SC, 2022)

I/O-Optimal Algorithms for Symmetric Linear Algebra Kernels. - Olivier Beaumont; Lionel Eyraud-Dubois; Julien Langou; Mathieu Vérité (SPAA, 2022)

Survey on Large Scale Neural Network Training. - Julia Gusak; Daria Cherniuk; Alena Shilova; Alexandr Katrutsa; Daniel Bershatsky; Xunyi Zhao; Lionel Eyraud-Dubois; Oleg Shlyazhko; Denis Dimitrov; Ivan V. Oseledets; Olivier Beaumont (CoRR, 2022)

Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach. - Giovanni Agosta; Marco Aldinucci; Carlos Álvarez 001; Roberto Ammendola; Yasir Arfat; Olivier Beaumont; Massimo Bernaschi; Andrea Biagioni; Tommaso Boccali; Bérenger Bramas; Carlo Brandolese; Barbara Cantalupo; et al. (Microprocess. Microsystems, 2022)

Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch. - Xunyi Zhao; Théotime Le Hellard; Lionel Eyraud-Dubois; Julia Gusak; Olivier Beaumont (ICML, 2023)

On the Arithmetic Intensity of Distributed-Memory Dense Matrix Multiplication Involving a Symmetric Input Matrix (SYMM). - Emmanuel Agullo; Alfredo Buttari; Olivier Coulaud; Lionel Eyraud-Dubois; Mathieu Faverge; Alain Franc; Abdou Guermouche; Antoine Jego; Romain Peressoni; Florent Pruvost (IPDPS, 2023)

Data Distribution Schemes for Dense Linear Algebra Factorizations on Any Number of Nodes. - Olivier Beaumont; Jean-Alexandre Collin; Lionel Eyraud-Dubois; Mathieu Vérité (IPDPS, 2023)

A 1.25(1+ε )-Approximation Algorithm for Scheduling with Rejection Costs Proportional to Processing Times. - Olivier Beaumont; Rémi Bouzel; Lionel Eyraud-Dubois; Esragul Korkmaz; Laércio Lima Pilla; Alexandre van Kempen (Euro-Par (1), 2024)

StarONNX: A Dynamic Scheduler for Low Latency and High Throughput Inference on Heterogeneous Resources. - Olivier Beaumont; Jean-François David; Lionel Eyraud-Dubois; Samuel Thibault (Euro-Par Workshops (1), 2024)

Exploiting Processor Heterogeneity to Improve Throughput and Reduce Latency for Deep Neural Network Inference. - Olivier Beaumont; Jean-François David; Lionel Eyraud-Dubois; Samuel Thibault (SBAC-PAD, 2024)

Tightening I/O Lower Bounds through the Hourglass Dependency Pattern. - Lionel Eyraud-Dubois; Guillaume Iooss; Julien Langou; Fabrice Rastello (SPAA, 2024)

Optimal Re-Materialization Strategies for Heterogeneous Chains: How to Train Deep Neural Networks with Limited Memory. - Olivier Beaumont; Lionel Eyraud-Dubois; Julien Herrmann; Alexis Joly; Alena Shilova (ACM Trans. Math. Softw., 2024)

Approximation Algorithms for Scheduling With/Without Deadline Constraints Where Rejection Costs are Proportional to Processing Times. - Olivier Beaumont; Rémi Bouzel; Lionel Eyraud-Dubois; Esragul Korkmaz; Laércio Lima Pilla; Alexandre van Kempen (IEEE Trans. Parallel Distributed Syst., 2025)