Matrix multiplication is a fundamental operation in machine learning, and is one of the most time-consuming, due to the extensive use of multiply-add instructions.

Additional research has spread into the domain of deep learning, where the efficiency of convolution operations has a critical reliance on underlying matrix multiplication routines. Studies have ...

Unlike traditional processors, Nervana places greater emphasis on matrix multiplication and convolution operations, both of which are frequently used in deep learning applications.