Scientific management of Resources

Coordinated by GENCI (Grand Équipement National de Calcul Intensif), a call for proposals, common to the three national computing centres (CINES, IDRIS and TGCC), is organised twice each year for the purpose of allocating computing hours. These hours are valuable for one year. During each call, requests may be submitted for calculation hours for new projects, to renew an existing project or to request supplementary hours for an allocation received during the preceding call.

Requests for resources are made with the DARI form (Demande d'Attribution de Ressources Informatiques) through a common web site for the three computing centres (see Requesting resource hours on IDRIS machine).

The proposals are examined from a scientific perspective by the Thematic Committees who draw on the technical expertise of the centres' application assistance teams as needed. Subsequently, an evaluation committee meets to decide upon the resource requests and make approval recommendations to the Attribution Committee, under the authority of GENCI, for distributing computing hours to the three national centres. 

Between the two project calls, IDRIS management studies the requests for supplementary resources as needed (“demandes au fil de l'eau”) and attributes limited hours in order to avoid the blockage of on-going projects.

A procedure called Preparatory Access is available to new projects for the purpose of evaluating and improving the performance of the concerned applications on IDRIS supercomputer. Through theses Preparatory Access, projects may benefit from:

  • 50000 CPU hours on CPU partition of Jean Zay
  • 1000 GPU hours on GPU partition of Jean Zay

The Scientific Thematic Committees (and keywords):

1. Environmental sciences

Climatic, atmospheric and oceanic modelling.  Planetary atmospheric modelling.  Geophysical data analyses.  Data assimilation and predictability.   Atmospheric chemistry and physics.  Marine biogeochemistry.  Functioning and evolution of terrestrial ecosystems.  Soil hydrology.

2a. Non-reactive fluid flows

Dynamics of compressible flows.  Hydrodynamics.  Steady and unsteady aerodynamics.  Rotating flows.  Heat transfer and forced convection.  Natural convection.

2b. Reactive or multiphase flows

Multiphase flow interfaces.  Phase changes in fluid flows.  Complex flows and rheology.  Turbulent combustion.  Modelling and simulation of reactive flows.   Combustion chemical kinetics and flame structure.  Non-equilibrium flow dynamics.  Plasma and electric arcs. 

3.  Biology and biomedical science

Particle/tissue interaction and calculation by Monte Carlo methods.  Nanotechnology in therapeutics.  Medical imaging (acquisition and treatment).  Computer-aided tools for medical decision making.  Bioinformatics.  Genomics.  Human body modelling.  Biomechanics.  Physiological flow dynamics.  Modelling and simulation of physiological systems.  Epidemiology and population dynamics.

4.  Astrophysics and geophysics

Cosmology.  Galaxy, star, and planetary system formation.  Gravitational system dynamics.  Modelling of astrophysical objects (non-fluid/non-chemical).  Geophysical and planetary plasmas.  Internal geophysics.  Soil hydrology.  Geomaterials. 

5.  Theoretical and plasma physics

Electromagnetics.  Lattice QCD.  Quantum chaos.  Electrical properties of solids.  Nuclear physics.    Wave- and light-matter interactions.  Hot plasmas.  Magnetic and inertial fusion sciences.

6.  Computer science, algorithms and mathematics

Network.  Middleware.  Algorithms for parallelism.  Linear algebra.  Partial Differential Equations.  Signal analysis.  Data storage and analyses.  Visualization. 

7.   Molecular dynamics applied to biology

Structure.  Molecular dynamics.  Macromolecule interactions.  Macromolecular chemistry.  Structure-Function Relationships.  Biopolymers.  Interfaces.  Heterogeneous materials.  Self-assembly.  Replication. 

8.  Quantum chemistry and molecular modelling

Electrical properties of molecules and solids.  Structures.  Reactivity.  Ab initio calculations.                 Semi-empirical calculations.  Car Parinello quantum dynamics.  Quantum MonteCarlo (QMC) calculations.  Liquid state.  Solvation.    Molecular diffusion.  Collisions (ion molecules, electrons).  Quantum dynamics.  Wave packet evolution.

9.  Physics, chemistry and material properties

First-principles computation of atomistic, mesoscale, and multiscale modelling.  Phase stability and cohesion in solids, diffusion, and phase transformations.  Structural and dynamic properties of disordered systems.   First-principles spectroscopy.  Materials design, high-throughput computation.  Relations between materials properties and microstructure.  Electronic and photonic materials, energy materials, nano and biomaterials, granular materials, multifunctional architecture materials.

10. New and transversal computation applications

Systems engineering, energy, neutronics, radiation protection, other computation-intensive applications. Artificial intelligence, machine learning, deep learning, data mining. Transversal applications of machine learning and data analysis, human and social sciences.