ADEM: Accelerating Sparse Matrix Multiplication with Adaptive Dataflow and Efficient Merging
This work proposes the segmented fiber tree (SFT) data structure, which extends the conventional fiber tree through further partitioning to better support the dataflow paradigm while enhancing data reuse, and decouples the multiplication and merging phases.