GLENDALE – What was supposed to be a moment of celebration has instead become a call to action. Students, parents, alumni, and community members of Chamlian Armenian School have mobilized in an ...

Abstract: Multiplying two sparse matrices (SpGEMM) is a common computational primitive used in many areas including graph algorithms, bioinformatics, algebraic multigrid solvers, and randomized ...

Abstract: Graph convolutional networks (GCNs) are emerging neural network models designed to process graph-structured data. Due to massively parallel computations using irregular data structures by ...

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Implement efficient Hamiltonian matrix construction leveraging momentum conservation to create block-diagonal sparse matrices, enabling larger system sizes through reduced memory footprint and ...