05 - Scaling Analysis#
Description#
Scaling analysis using the validated solver configuration from experiment 04. This experiment measures the performance limits of the complete solver across different problem sizes and processor counts.
Strong Scaling: Fixed problem size with increasing ranks → measures parallel speedup.
Weak Scaling: Constant work per rank with proportional growth → measures scalability.
Purpose#
Characterize the parallel performance limits of the validated solver by analyzing:
Strong scaling efficiency - Measure speedup curves for fixed problem sizes with increasing processor counts
Weak scaling efficiency - Evaluate performance with constant work per rank as both problem size and processors grow
Memory usage scaling - Analyze per-rank memory footprint and total memory requirements as problem size and rank count vary
Parallel I/O considerations - Demonstrate impact of parallel HDF5 writes vs serial gather-to-rank-0 on scaling behavior
