Abstract: Sparse General Matrix-Matrix Multiplication (SpGEMM) is a core operation in high-performance computing applications such as algebraic multigrid solvers, machine learning, and graph ...
We’ve all seen the Norway fans rowing at baseball games, Americans screaming their hearts out to “Take Me Home, Country Roads,” and Scottish fans drinking all the beer in Boston. And in Miami. And at ...
Abstract: By separating huge dimensional matrix-matrix multiplication at a single computing node into parallel small matrix multiplications (with appropriate encoding) at parallel worker nodes, coded ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results