Benoît LELANDAIS
Titulaire d’un Master de l’Université Paris-Saclay en technologies de l’information, Benoît Lelandais a occupé plusieurs postes en entreprise de services du numérique, au sein de IFP Energies Nouvelles et au sein du Commissariat à l’Energie Atomique dans les domaines de la conception et la réalisation de logiciels. Actuellement, il travaille au sein d’une équipe dont l’objectif est de développer des méthodes et des outils de maillage pour les codes de simulation numérique HPC.
Après de nombreux travaux en ingénierie dirigée par les modèles, notamment l’élaboration de DSLs pour la simulation numérique et leurs environnements logiciels pour générer du code efficace dans un contexte HPC, sa principale mission concerne aujourd’hui Magix3D, outil de maillage en 3D.
SLE '23: 16th ACM SIGPLAN International Conference on Software Language Engineering, 2023
abstract
Abstract
Software languages have pros and cons, and are usually chosen accordingly. In this context, it is common to involve different languages in the development of complex systems, each one specifically tailored for a given concern. However, these languages create de facto silos, and offer little support for interoperability with other languages, be it statically or at runtime. In this paper, we report on our experiment on extracting a relevant behavioral interface from an existing language, and using it to enable interoperability at runtime. In particular, we present a systematic approach to define the behavioral interface and we discuss the expertise required to define it. We illustrate our work on the case study of SciHook, a C++ library enabling the runtime instrumentation of scientific software in Python. We present how the proposed approach, combined with SciHook, enables interoperability between Python and a domain-specific language dedicated to numerical analysis, namely NabLab, and discuss overhead at runtime.
Proceedings of the 14th ACM SIGPLAN International Conference on Software Language Engineering, p. 2-15, 2021
abstract
Abstract
Runtime monitoring and logging are fundamental techniques for analyzing and supervising the behavior of computer programs. However, supporting these techniques for a given language induces significant development costs that can hold language engineers back from providing adequate logging and monitoring tooling for new domain-specific modeling languages. Moreover, runtime monitoring and logging are generally considered as two different techniques: they are thus implemented separately which makes users prone to overlooking their potentially beneficial mutual interactions. We propose a language-agnostic, unifying framework for runtime monitoring and logging and demonstrate how it can be used to define loggers, runtime monitors and combinations of the two, aka. moniloggers. We provide an implementation of the framework that can be used with Java-based executable languages, and evaluate it on 2 implementations of the NabLab interpreter, leveraging in turn the instrumentation facilities offered by Truffle, and those offered by AspectJ.
Journal of Computer Languages, Elsevier, p. 100919, 2019
Proceedings of the 11th ACM SIGPLAN International Conference on Software Language Engineering, p. 200-204, 2018
Oil & Gas Science and Technology--Revue d'IFP Energies nouvelles, EDP Sciences, p. 57, 2016
Proceedings of the 8th Workshop on Parallel/High-Performance Object-Oriented Scientific Computing, Association for Computing Machinery, 2009
abstract
Abstract
In this paper, we introduce the Arcane software development framework for 2D and 3D numerical simulation codes. First, we describe the Arcane core, the mesh management and the parallelism strategy. Then, we focus on the concepts introduced to speed up the development of numerical codes: numerical modules, variables, entry points and services. We explain the execution model and enumerate the available debugging tools. Finally, the main functionalities of Arcane are described through an example. As a conclusion, we present the future works.