For all my publications [click here]
Look at my new book
- A. Rosenberg and D. Trystram. Understand Mathematics, Understand Computers. Springer, 2020
A selection of recent publications (chronologic)
- O. Beaumont, L. Canon, L. Eyraud-Dubois, G. Lucarelli, L. Marchal, C. Mommessin, B. Simon, D. Trystram. Scheduling on Two Types of Resources: A Survey. In ACM Comput. Survey 53(3), 2020
- D. Carastan-Santos, R. de Camargo, D. Trystram, S. Zrigui. One Can Only Gain by Replacing EASY Backfilling: A Simple Scheduling Policies Case Study. Best paper at CCGRID, Cyprus, 2019
- A. Legrand, D. Trystram, S. Zrigui Adapting Batch Scheduling to Workload Characteristics: What Can We Expect From Online Learning? In proceedings of IPDPS, ACM, 2019
- R. Bleuse, K. Dogeas, G. Lucarelli, G. Mounié, D. Trystram. Interference-Aware Scheduling Using Geometric Constraints. Proceedings of Euro-Par, Springer, 2018
- G. Lucarelli, B. Moseley, K. Nguyen Thang, A. Srivastav, D. Trystram. Online non-preemptive Scheduling on Unrelated Machines with Rejections. In Proceedings of SPAA, Vienna, ACM, 2018
- E. Gaussier, J. Lelong, V. Reis, and D. Trystram. Online tuning of easy-backfilling using queue reordering policies. In IEEE Trans on Parallel and Distributed Systems, 2018
- G. Lucarelli, B. Moseley, K. Nguyen Thang, A. Srivastav, D. Trystram. Online Non-Preemptive Scheduling to Minimize Weighted Flow-time on Unrelated Machines. In Proceedings of ESA, 2018
- R. Bleuse, S. Kedad~‐Sidhoum, F. Monna, G. Mounié, and D. Trystram. Scheduling independent tasks on multi‐cores with GPU accelerators. Concurrency and Computation: Practice and Experience (6), 2015
- E. Gaussier, D. Glesser, V. Reis, and D. Trystram. Improving backfilling by using machine learning to predict running times. Proceedings of SC'15, Austin, 2015