PhD Position in Modeling and Simulation of Exascale Storage Systems
il y a 4 semaines
Context and Objectives
This PhD thesis is part of the NumPEx project, a key national initiative aimed at co-designing the software stack for the exascale era and preparing applications accordingly. The thesis will be co-supervised by Inria and CEA, with collaborations expected within NumPEx with various partners.
Research Team
The thesis will be hosted by the KerData team at the Inria research center of Rennes, with regular visits at the CEA Center of Bruyères-le-Châtel. The KerData team is a human-sized team with a strong focus on experimental research, validated by implementation and experimentation of software prototypes with real-world applications on real-world platforms.
Research Objectives
The main objective of this thesis is to model and simulate heterogeneous storage systems to study their behavior, predict their performance, and propose innovative algorithmic approaches for better resource utilization. This will involve studying storage systems such as Lustre and DAOS, modeling and simulating them in an existing WRENCH-based simulator, and proposing advanced resource allocation algorithms to overcome the limitations of existing methods.
Expected Outcomes
The candidate is expected to contribute to the development of new storage systems and algorithms, with a strong emphasis on international collaborations, especially with the University of Manoa (HI, USA), and national partnerships, such as with the French SKA team. The candidate will also have the opportunity to be hosted for 3-6 month internships abroad to strengthen the international visibility of their work and benefit from the expertise of other researchers in the field.
Requirements
- An excellent Master degree in computer science or equivalent
- Completion of a teaching unit in high-performance computing or distributed computing is an advantage
- Programming skills in C/C++ and Python
- Good communication skills in oral and written English
- Open-mindedness, strong integration skills, and team spirit
Benefits
- Subsidized meals
- Partial reimbursement of public transport costs
- Possibility of teleworking (90 days per year) and flexible organization of working hours
- Partial payment of insurance costs
Salary
A monthly gross salary amounting to 2051 euros for the first and second years and 2158 euros for the third year
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Rennes, Bretagne, France INRIA Temps pleinContext and ObjectivesThis PhD thesis is part of the NumPEx project, a key national initiative aiming to co-design the software stack for the exascale era and prepare applications accordingly. The thesis will be co-supervised by Inria and CEA, with collaborations expected within the NumPEx consortium.Research TeamThe thesis will be hosted by the KerData team...
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