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Matrix factorization with approximate computing

机译:具有近似计算的矩阵分解

摘要

Techniques that facilitate matrix factorization associated with graphics processing units are provided. In one example, a computer-implemented method is provided. The computer-implemented method can comprise loading, by a graphics processing unit operatively coupled to a processor, item features from a data matrix into a shared memory. The data matrix can be a matrix based on one or more user features and item features. The computer-implemented method can further comprise tiling and aggregating, by the graphics processing unit, outer products of the data matrix tiles to generate an aggregate value and approximating, by the graphics processing unit, an update to a user feature of the data matrix based on the aggregate value and the loaded item features.
机译:提供了促进与图形处理单元相关联的矩阵分解的技术。在一个示例中,提供了一种计算机实现的方法。计算机实现的方法可以包括加载,通过可操作地耦合到处理器的图形处理单元,从数据矩阵到共享存储器的项目特征。数据矩阵可以是基于一个或多个用户特征和项目特征的矩阵。计算机实现的方法可以通过图形处理单元来进一步包括平铺和聚合数据矩阵瓦片的外部产品,以通过图形处理单元生成聚合值并近似于基于数据矩阵的用户特征的更新在总值和加载的项目特征上。

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