MATRIX VECTOR MULTIPLY TECHNIQUES
    1.
    发明申请
    MATRIX VECTOR MULTIPLY TECHNIQUES 审中-公开
    矩阵矢量多项式技术

    公开(公告)号:WO2016054264A1

    公开(公告)日:2016-04-07

    申请号:PCT/US2015/053321

    申请日:2015-09-30

    Abstract: Techniques are disclosed relating to parallel computing. In some embodiments, fine-grained data communication facilitates operations on large data sets such as multiplication of a sparse matrix by a vector. In this example, a first data set (the matrix) and a second data set (the vector) are distributed across multiple processing nodes. Performance of the overall multiplication operation may require communication of data among the processing nodes. In various embodiments, fine-grained communication of this data may reduce processing times and/or power consumption by avoiding congestion.

    Abstract translation: 公开了关于并行计算的技术。 在一些实施例中,细粒度数据通信有助于对大数据集的操作,例如通过向量乘以稀疏矩阵。 在该示例中,第一数据集(矩阵)和第二数据集(矢量)分布在多个处理节点上。 整个乘法运算的性能可能需要在处理节点之间进行数据通信。 在各种实施例中,该数据的细粒度通信可以通过避免拥塞来减少处理时间和/或功耗。

Patent Agency Ranking