Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...
Abstract: Sparse matrix-vector multiplication (SpMV) is a fundamental operation in machine learning, scientific computing, and graph algorithms. In this paper, we investigate the space, time, and ...
The canonical spherical harmonics $Y_{lm}$ subject to a rotation in $\mathbb{R}^{3}$ will always mix among each other. As such, we can represent the act of rotating ...
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