Abstract: High-performance sparse matrix-matrix (SpMM) multiplication is paramount for science and industry, as the ever-increasing sizes of data prohibit using dense data structures. Yet, existing ...
This project provides a fully distributed sparse matrix computation framework with zero driver bottlenecks. All operations are performed in a distributed manner across the Spark cluster, with no ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results