Model and Complexity Results for Tree Traversals on Hybrid Platforms. - Julien Herrmann; Loris Marchal; Yves Robert (Euro-Par, 2013)

Accelerating Linear System Solutions Using Randomization Techniques. - Marc Baboulin; Jack J. Dongarra; Julien Herrmann; Stanimire Tomov (ACM Trans. Math. Softw., 2013)

Designing LU-QR Hybrid Solvers for Performance and Stability. - Mathieu Faverge; Julien Herrmann; Julien Langou; Bradley R. Lowery; Yves Robert; Jack J. Dongarra (IPDPS, 2014)

Memory-Aware List Scheduling for Hybrid Platforms. - Julien Herrmann; Loris Marchal; Yves Robert (IPDPS Workshops, 2014)

Determining the Optimal Redistribution for a Given Data Partition. - Thomas Hérault; Julien Herrmann; Loris Marchal; Yves Robert (ISPDC, 2014)

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)

Mixing LU and QR factorization algorithms to design high-performance dense linear algebra solvers. - Mathieu Faverge; Julien Herrmann; Julien Langou; Bradley R. Lowery; Yves Robert; Jack J. Dongarra (J. Parallel Distributed Comput., 2015)

Memory-aware tree traversals with pre-assigned tasks. - Julien Herrmann; Loris Marchal; Yves Robert (J. Parallel Distributed Comput., 2015)

Memory-aware Algorithms and Scheduling Techniques for Matrix Computattions. (Algorithmes orientés mémoire et techniques d'ordonnancement pour le calcul matriciel). - Julien Herrmann (2015)

Visual analytics on the spread of pathogens. - Julien Herrmann; Zachary L. Witter; Nakul Patel; Jonathan Kho; Daniel A. Janies; Ümit V. Çatalyürek (BCB, 2016)

Assessing the cost of redistribution followed by a computational kernel: Complexity and performance results. - Julien Herrmann; George Bosilca; Thomas Hérault; Loris Marchal; Yves Robert; Jack J. Dongarra (Parallel Comput., 2016)

Optimal Multistage Algorithm for Adjoint Computation. - Guillaume Aupy; Julien Herrmann; Paul D. Hovland; Yves Robert (SIAM J. Sci. Comput., 2016)

Acyclic Partitioning of Large Directed Acyclic Graphs. - Julien Herrmann; Jonathan Kho; Bora Uçar; Kamer Kaya; Ümit V. Çatalyürek (CCGrid, 2017)

Periodicity in optimal hierarchical checkpointing schemes for adjoint computations. - Guillaume Aupy; Julien Herrmann (Optim. Methods Softw., 2017)

Computing the expected makespan of task graphs in the presence of silent errors. - Henri Casanova; Julien Herrmann; Yves Robert (Parallel Comput., 2018)

A Scalable Clustering-Based Task Scheduler for Homogeneous Processors Using DAG Partitioning. - M. Yusuf Özkaya; Anne Benoit; Bora Uçar; Julien Herrmann; Ümit V. Çatalyürek (IPDPS, 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)

Multilevel Algorithms for Acyclic Partitioning of Directed Acyclic Graphs. - Julien Herrmann; M. Yusuf Özkaya; Bora Uçar; Kamer Kaya; Ümit V. Çatalyürek (SIAM J. Sci. Comput., 2019)

H-Revolve: A Framework for Adjoint Computation on Synchronous Hierarchical Platforms. - Julien Herrmann; Guillaume Pallez (ACM Trans. Math. Softw., 2020)

Task-based Parallel Programming for Scalable Matrix Product Algorithms. - Emmanuel Agullo; Alfredo Buttari; Abdou Guermouche; Julien Herrmann; Antoine Jego (ACM Trans. Math. Softw., 2023)

checkpoint_schedules: schedules for incremental checkpointing of adjoint simulations. - Daiane I. Dolci; James R. Maddison; David A. Ham; Guillaume Pallez; Julien Herrmann (J. Open Source Softw., 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)