LoopForest: Exploring an Expanded Fusion Mapspace for Reduced Data Movement and Memory Usage

LoopForest expands the space of fused mappings available to tensor algebra accelerators, exposing mapping choices that reduce off-chip data movement and on-chip memory usage.

This work is currently under submission. A preprint is not yet public — please get in touch if you would like to know more.