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Parallelized Hybrid Sparse Matrix Representations for Performing Personalized Content Ranking

机译:用于执行个性化内容排名的并行混合稀疏矩阵表示

摘要

Mechanisms are provided for performing a matrix operation. A processor is configured to perform hybrid compressed representation matrix operations on an input matrix that comprises zero value and non-zero value entries. A first compressed representation data structure corresponding to the input matrix, and a second compressed representation data structure are obtained, each utilizing a different format for representing the non-zero value entries of the input matrix. A matrix operation is iteratively executed on the input matrix using the first compressed representation data structure and the second compressed representation data structure. The first compressed representation data structure is utilized for a first subset of iterations of the matrix operation and the second compressed representation data structure is utilized for a second subset of iterations of the matrix operation different from the first subset of iterations.
机译:提供了用于执行矩阵运算的机制。处理器被配置为对包括零值和非零值条目的输入矩阵执行混合压缩表示矩阵操作。获得对应于输入矩阵的第一压缩表示数据结构和第二压缩表示数据结构,它们各自利用不同的格式来表示输入矩阵的非零值条目。使用第一压缩表示数据结构和第二压缩表示数据结构在输入矩阵上迭代执行矩阵运算。第一压缩表示数据结构用于矩阵运算的迭代的第一子集,第二压缩表示数据结构用于矩阵运算的迭代的第二子集,该子集不同于迭代的第一子集。

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