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  1. 1
    ON THE DERIVATION OF HIGHEST-ORDER COMPACT FINITE DIFFERENCE SCHEMES FOR THE ONE- AND TWO-DIMENSIONAL POISSON EQUATION WITH DIRICHLET BOUNDARY CONDITIONS

    ON THE DERIVATION OF HIGHEST-ORDER COMPACT FINITE DIFFERENCE SCHEMES FOR THE ONE- AND TWO-DIMENSIONAL POISSON EQUATION WITH DIRICHLET BOUNDARY CONDITIONS von SETTLE, SEAN O., DOUGLAS, CRAIG C., KIM, IMBUNM, SHEEN, DONGWOO


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  2. 2
    Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines

    Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines von Settle, Sean O, Bollavaram, Manasa, D'Alberto, Paolo, Delaye, Elliott, Fernandez, Oscar, Fraser, Nicholas, Ng, Aaron, Sirasao, Ashish, Wu, Michael

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  3. 3
    Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines

    Quantizing Convolutional Neural Networks for Low-Power High-Throughput Inference Engines von Settle, Sean O, Bollavaram, Manasa, D'Alberto, Paolo, Elliott Delaye, Fernandez, Oscar, Fraser, Nicholas, Ng, Aaron, Sirasao, Ashish, Wu, Michael

    Veröffentlicht in arXiv.org

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