Neural compression combined with smart temporal sampling can reduce physics simulation storage by orders of magnitude, making exabyte-scale HPC data manageable without sacrificing scientific accuracy.
ANTIC is a compression system that reduces storage needs for massive physics simulations by intelligently selecting which time snapshots to save and compressing spatial data using neural networks. It works during simulation rather than after, enabling petabyte-scale datasets to be stored efficiently while preserving physics accuracy.