Tai-Ching Tuan

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Sparse Matrix-Vector multiplication (SpMV) is a fundamental kernel, used by a large class of numerical algorithms. Emerging big-data and machine learning applications are propelling a renewed interest in SpMV algorithms that can tackle massive amount of unstructured data---rapidly approaching the TeraByte range---with predictable, high performance. In this(More)