Matrix factorization with approximate computing

A computer-implemented method, comprising:

• loading, by a graphics processing unit operatively coupled to a processor, item features from a data matrix into a shared memory, the data matrix being a matrix based on one or more user features and item features;
• tiling and aggregating, by the graphics processing unit, outer products of data matrix tiles to generate an aggregate value, wherein the tiling and aggregating comprises:
• calculating an outer product of two of the data matrix tiles in a user feature of the data matrix, wherein the user feature is comprised within the one or more user features;
• aggregating a result of the outer product into a memory register to generate the aggregate value;
• and
• flushing the memory register into global memory based on the aggregating;
• and
• approximating, by the graphics processing unit, an update to the user feature of the data matrix based on the aggregate value and the loaded item features.