Post-doctorate position (M/F) : Exascale Port of a 3D Sparse PIC Simulation Code for Plasma Modeling

Organisation/Company

CNRS

Department

Laboratoire plasma et conversion d’énergie

Research Field

Engineering
Chemistry
Physics

Researcher Profile

First Stage Researcher (R1)

Country

France

Application Deadline

8 Apr 2024 – 23:59 (UTC)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

35

Offer Starting Date

1 Sep 2024

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The person recruited will be involved in the ANR project called MATURATION (https://www.math.univ-toulouse.fr/~narski/MATURATION/ ) based on the use of sparse grids coupled with the Particle-In-Cell (PIC) approach to study plasma physics. The aim will be to port to exascale architectures an initial 3D simulation code developed as part of previous work [1]. This work will initially focus on scaling up (distributed memory), optimizing CPU algorithms (vectorization) and further GPU porting. The exploration of C++ programming models for performance portability, such as Kokkos or StarPU, will form a second part. A comparative study will evaluate the different implementations in terms of both performance and portability. Performance studies will be carried out on various CPU and GPU technologies, using local resources and access to national supercomputers. The person recruited will also be involved in setting up and sharing best practices in software engineering. This work will be carried out in close interaction with the other MATURATION project partners.
[1] – Guillet, C. (2023). Approche sur grilles parcimonieuses pour accélérer la méthode PIC (PhD, Toulouse 3).

– Participate in the Exascale porting of 3D sparse-PIC code, including distributed parallelism, vectorization, and GPU porting.
– Investigate new programming models to achieve performance portability.
– Analyze code performance on various recent CPU and GPU architectures.
– Enhance software engineering practices related to the code.
– Publish the results of the study.
– Hand over the code handling to the supervisory team.

The workplace is the Maison de la Simulation (Gif-sur-Yvette), a joint laboratory between CEA, CNRS, Université Paris-Saclay and Université Versailles Saint-Quentin. It specializes in high-performance computing and numerical simulations in close connection with physical applications, parallel software engineering, programming models, visualization techniques, artificial intelligence, and quantum computing.

Requirements

Research Field

Engineering

Education Level

PhD or equivalent

Research Field

Chemistry

Education Level

PhD or equivalent

Research Field

Physics

Education Level

PhD or equivalent

Languages

FRENCH

Level

Basic

Research Field

Engineering

Years of Research Experience

None

Research Field

Chemistry

Years of Research Experience

None

Research Field

Physics

Years of Research Experience

None

Additional Information
Eligibility criteria

– Engineering degree / PhD computer science or physics with high-performance computing
– Experience in Fortran, C or C++ programming
– Experience in high-performance computing and parallel programming, in particular GPU
– Experience in plasma PIC simulation would be highly appreciated.
– A good knowledge of English is required, as well as the ability to work in a team.

Additional comments

To apply for this position, please submit the following documents through the CNRS portal:
– a description of your qualifications, experience, and motivations related to the post
– a complete curriculum vitae (CV) including details of your training, publications, research experience, etc.,
– contact information of two referees and letters of recommendation.

Website for additional job details

https://emploi.cnrs.fr/Offres/CDD/UMR5213-DELDAL-012/Default.aspx

Work Location(s)

Number of offers available

1

Company/Institute

Laboratoire plasma et conversion d’énergie

Country

France

City

GIF SUR YVETTE CEDEX

Geofield

Where to apply

Website

https://emploi.cnrs.fr/Candidat/Offre/UMR5213-DELDAL-012/Candidater.aspx

Contact

City

GIF SUR YVETTE CEDEX

Website

http://www.laplace.univ-tlse.fr

STATUS: EXPIRED