The International Conference for High Performance Computing, Networking, Storage, and Analysis
The International Conference for High Performance Computing, Networking, Storage, and Analysis
Poster Type: ACM Student Research Competition, Graduate
Author: Arthur Jaquard (Inria)
Supervisor: Gabriel Antoniu (Inria)
Abstract: Exascale simulations generate massive data volumes that strain I/O and post-hoc analysis. We integrate the Damaris in situ middleware into Coddex, a crystal deformation code, to offload data movement and analysis to dedicated processes, enabling runtime extraction of key diagnostics without writing intermediate files. We evaluate tin hysteresis cases on CEA’s INTI cluster (with 14 nodes, 1,728 cores) and compare against a ParaView-based post-hoc pipeline. In situ analysis eliminates per-iteration I/O stalls and reduces output time by up to 5x while preserving overall iteration time, with benefits increasing with the number of tracked variables. We describe the integration design, process pinning, and data exchange, and outline forthcoming support for additional analyses. This work is conducted within the Exa-DoST project of the PEPR NumPEx program, which aims to build the software infrastructure for the first exascale machine expected to be set up in France (Alice Recoque, Jules Verne project).
Best Poster Finalist (BP): no
Poster: PDF
Poster Summary: PDF