Who am I?

I am a member of LaBRI, a research laboratory that combines people from the University of Bordeaux, CNRS, Bordeaux INP, and Inria.

I work in the Topal team, whose offices are located in the Inria Center at the University of Bordeaux in Talence (metropolitan area of Bordeaux).

For more details, you can check the latest version of my CV (September, 2026).

Feel free to contact me about any of the topics below.

Research

My work is focused on making parallel applications run efficiently on parallel and distributed computing platforms. This involves mostly finding scheduling algorithms that are well-adapted to each specific scenario.

My personal goal is to make computing more sustainable by making the best use of existing resources (computing, storage, network, etc.), by limiting the new resources we require, and by educating people to avoid systemic effects (for instance, rebound effects).

If you want to know more about my research, you can also check its dedicated page, or read my habilitation (HDR) manuscript titled Scheduling Everything, Everywhere, All at Once, which was published in 2026.

Equity, diversity & inclusion

I am involved in Equity, Diversity & Inclusion (EDI) efforts in different contexts. You can check the dedicated page for more information.

---

News and highlights

Une minute avec

Sep. 15, 2026

Inria has published a short interview with me (“A minute with”), which is available online here in French.

ICPADS acceptance!

Sep. 12, 2026

Alan’s work on adding reliability-awareness to his client selection framework for FL under dynamic availability has been accepted for publication in IEEE ICPADS. Its pre-print version can already be read in HAL.

Alan Lira Nunes has defended his PhD.

Aug. 7, 2026

Alan succesfully defended his thesis “Scheduling algorithms for the optimization of distributed machine learning models on heterogeneous resources” in Niterói, RJ, Brazil, on August 7, 2026. Congratulations and best wishes for the next steps!

Parallel Computing article online

Jul. 21, 2026

Yacine and Diane’s work on energy-aware scheduling strategies in StreamPU is now available online in open access in the journal Parallel Computing.

FGCS acceptance!

Jul. 6, 2026

Alan’s work on a framework for client selection in FL systems has been accepted for publication in the journal Future Generation Computer Systems. Its pre-print version can already be read in HAL.