Machine learning accelerator architecture

A method to facilitate acceleration of machine learning operations, comprising:

• performing first computations including matrix multiplication operations at a first set of processing elements;
• performing second computations including sum of elements of weights and offset multiply operations at a second set of processing elements;
• and
• performing third computations including sum of elements of inputs and offset multiply operations at a third set of processing elements,
• wherein the second and third computations are performed in parallel with the first computations.

An accelerator comprising:

• a plurality of tiles comprising a plurality of processing elements, including:
• a first tile having a first set of processing elements to perform first computations including matrix multiplication operations;
• a second tile having:
• a second set of processing elements to perform second computations including sum of elements of weights and offset multiply operations;
• and
• a third set of processing elements to perform third computations including sum of elements of inputs and offset multiply operations, wherein the second and third computations are performed in parallel with the first computations.