Abstract: Sparse matrix-matrix multiplication (SpMM) is a prevailing kernel in scientific and artificial intelligence applications. However, the irregular memory access behaviors caused by diverse ...

Uses a shallow tree structure with a branching factor of 4096 to index a series of small arrays that try to compress as much as possible to reduce the memory overhead needed. Similar to a Map, except ...

Abstract: Large-scale uniform arrays encounter critical challenges due to dense element arrangements, including excessive hardware, elevated computational complexity, high costs, strong mutual ...

The program uses basic Python programming concepts to perform matrix operations without any built-in libraries. Matrices are stored using nested lists where each inner list represents one row of the ...