Abstract: A computing system is described herein that expedites deep neural network (DNN) operations or other processing operations using a hardware accelerator. The hardware accelerator, in turn, includes a tensor-processing engine that works in conjunction with a scalar-processing unit (SPU). The tensor-processing engine handles various kinds of tensor-based operations required by the DNN, such as multiplying vectors by matrices, combining vectors with other vectors, transforming individual vectors, etc. The SPU performs scalar-based operations, such as forming the reciprocal of a scalar, generating the square root of a scalar, etc. According to one illustrative implementation, the computing system uses the same vector-based programmatic interface to interact with both the tensor-processing engine and the SPU.

Abstract: A computing system is described herein that expedites deep neural network (DNN) operations or other processing operations using a hardware accelerator. The hardware accelerator, in turn, includes a tensor-processing engine that works in conjunction with a scalar-processing unit (SPU). The tensor-processing engine handles various kinds of tensor-based operations required by the DNN, such as multiplying vectors by matrices, combining vectors with other vectors, transforming individual vectors, etc. The SPU performs scalar-based operations, such as forming the reciprocal of a scalar, generating the square root of a scalar, etc. According to one illustrative implementation, the computing system uses the same vector-based programmatic interface to interact with both the tensor-processing engine and the SPU.