My area of expertise covers various research topics
in Computer Science, such as High Performance
Computing, scheduling, data management, scientific
workflows, and large scale distributed systems.
Scientific collaborations, in various domains,
will face a tremendous increase of their computing
and storage needs over the next decade to achieve
new scientific breakthroughs. This calls for a
revision of computing models, data models, and how
infrastructures are designed. However,
relying solely on empirical knowledge acquired at a
smaller scale is usually not sufficient.
Therefore, in my work, I strive to engaging in
deep partnerships with scientific communities, and
developing faithful simulation-based models of
distributed systems and scientific workflows, to
provide them with objective performance indicators
and guide the future evolutions of their
computational needs. To this end, I am involved in
the development of the SimGrid
and WRENCH simulation
frameworks. Both tools allow their users to develop
simulators of distributed applications targeting
distributed platforms, which can in turn be used to
prototype, evaluate and compare relevant platform
configurations, system designs, and algorithmic
approaches. For the last 20 years SimGrid has
supported the research
in hundreds of scientific
publications.
600+
Research articles using SimGrid
80+
Citations
15+
Supported applications
