On-the-fly clustering for exascale molecular dynamics simulations. - presented by Dr Alizée Dubois and Thierry Carrard

On-the-fly clustering for exascale molecular dynamics simulations.

Alizée Dubois and Thierry Carrard

ADThierry Carrard
Slide at 23:54
3 mars 15:25 a
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pres_algo_killian.pdf
STRONG SCALING RESULTS
Analysis
MD EAM
8.00
Ideal scaling
81.9M atoms
Per-node MPI/OMP work
4.00
distribution :
2.00
4 MPI X 32 OMP
1.00
CONSTANT WORKLOAD :
0.50
81.9 106 atoms
0.25
58.9 . 106 voxels
0.12
0.06
1024
2048
4096
Cores
A. DUBOIS - T. CARRARD - COMPUTER PHYSICS COMMUNICATIONS SEMINAR SERIES - 03/03/25
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Summary (AI generated)

We evaluate the reduction in computation time as we increase the number of calls. The dotted black line represents the ideal scenario. Although we do not perfectly align with this ideal, our performance improves with a higher load of atoms.