US 2018/0293491 A1 · FAST DATA OPERATIONS AND FINITE STATE MACHINE FOR MACHINE LEARNING

Abstract

A mechanism is described for facilitating fast data operations for machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting input data to be used in computational tasks by a computation component of a compute pipeline of a processor including a graphics processor. The method may further include determining one or more frequently-used data values (FDVs) from the data, and pushing the one or more frequent data values to bypass the computational tasks.

Claims20

Dependent claims

An apparatus comprising:

detection/observation logic, as facilitated by or at least partially implemented in a processor, to detect input data to be used in computational tasks by a computation component of a compute pipeline of the processor including a graphics processor;
and
bypass/detour logic, as facilitated by or at least partially implemented in the processor, to determine one or more frequently-used data values (FDVs) from the data, wherein the bypass/detour logic to push the one or more frequent data values to bypass the computational tasks.

Dependencies are inferred from the claim text.

Fast data operations and finite state machine for machine learning

Life of this patent

Fast data operations and finite state machine for machine learning

Life of this patent

Abstract

Claims20