Inria – Runtime Team

Domaine de Voluceau – Rocquencourt
B.P. 105 – 78153 Le Chesnay
Research group:
Runtime Team
Prof. R. Namyst
INRIA Bordeaux Sud-Ouest200, Avenue de la Vielle Tour33405 Talence CedexFrance


Institution Background

Inria (, is a public science and technology institution established in 1967. Inria is dedicated to fundamental and applied research in Information and Communication Science and Technology (ICST). Inria also plays a major role in technology transfer by fostering training through research and development, diffusion of scientific and technical information, as well as providing expert advice and participating in international programs. Combining computer sciences with mathematics, Inria’s 3,400 researchers strive to invent the digital technologies of the future. Educated at leading international universities, they creatively integrate basic research with applied research and dedicate themselves to solving real problems, collaborating with the main players in public and private research in France and abroad and transferring the fruits of their work to innovative companies.


Research Group Background

The INRIA Runtime team works in the high-performance and Exascale parallel computing domain. It has built a strong expertise in the studies and design as well as the development and evaluation of the principles that are in the heart of parallel runtime systems. Example of such developments are: Hwloc a software package that provides a portable abstraction (e.g. across OS, versions, architectures) of the hierarchical topology of modern architectures, Treematch a library for performing process placement on NUMA architectures.


Emmanuel Jeannot

is a senior research scientist at Inria and he is doing his research at Inria Bordeaux Sud-Ouest and at the LaBRI laboratory. In 1999, he got his PhD of Computer Science from Ecole Normale Supe ́rieure de Lyon (France). In 2006, he was a visiting researcher at the University of Tennessee, ICL laboratory. His main research interests are scheduling for heterogeneous and distributed environments, data redistribution, algorithms for runtime systems and programming models for parallel machines, distributed computing software, and process placement.


Major Interest in Action Scientific Topics

  • Runtime systems
  • MPI
  • Process placement
  • Scheduling
  • GPUs
  • I/O, data management and batch scheduler