Abstract: We present a Mathematics of Arrays (MoA) and ψ-calculus derivation of the memory-optimal operational normal form for ELLPACK sparse matrix-vector multiplication (SpMV) on GPUs. Under the ...

Monica S. Aswani ([email protected]), University of Alabama at Birmingham, Birmingham, Alabama. Lauren A. Do, Boston University, Boston, Massachusetts. Paul R. Shafer, Boston University. The ...

Abstract: Sparse matrix storage optimization is crucial in expanding the occurrences of datasets in scientific computation, machine learning, and high-dimensional applications, in which the ...

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Continuing with the success of Phases I and II of its Laconia 3D OBN multi-client seismic program in the US Gulf, Viridien has announced, in collaboration with partner TGS, the start of Laconia Phase ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

Given the plateau in technology scaling combined with a continual need for performance, modern hardware development has focused on domain-specific accelerator design. However, domain-specific ...