We present a sparse-block-matrix technique based method for solving nonlinear multicommodity network flow problems with large number of commodities. Our method combines a well-known projected ...

To improve the performance of sparse matrix-matrix multiplication (SpMM) running on a specialized architecture, orchestrating a data flow that maximizes data reuse in local memory is critical but ...

The dot product calculation for each row of the sparse matrix is independent of the dot product for other rows; i.e., all iterations of the outer loop (Line 1) are logically independent of each other.

The aim of this study was to integrate the simplicity of structured sparsity into existing vector execution flow and vector processing units (VPUs), thus expediting the corresponding matrix ...