Calculation method applied to artificial intelligence chip and artificial intelligence chip

Abstract

The embodiment of the present application discloses a calculation method applied to an artificial intelligence chip and an artificial intelligence chip. A specific implementation manner of the method includes: the target processor core responds to determining that the operation identifier obtained by decoding the instruction to be executed is a preset complex operation identifier, using the decoded operation identifier and at least one operand to generate a complex operation instruction, and Add the generated complex operation instruction to the complex operation instruction queue; the operation acceleration component selects the complex operation instruction from the complex operation instruction queue, and executes the selected complex operation with at least one operand in the selected complex operation instruction as an input parameter The complex operation indicated by the complex operation identifier in the instruction obtains the operation result, and writes the obtained operation result into the complex operation result queue as the complex operation result. This embodiment reduces the area overhead and power consumption overhead of the artificial intelligence chip.

Description

technical field [0001] The embodiments of the present application relate to the field of computer technology, and in particular to a calculation method applied to an artificial intelligence chip and an artificial intelligence chip. Background technique [0002] Artificial intelligence chips, namely AI (Artificial Intelligence) chips, also known as AI accelerators or computing cards, refer to modules dedicated to processing a large number of computing tasks in artificial intelligence applications (other non-computing tasks are still handled by the CPU). The computing requirements in AI computing are huge, especially complex computing requirements have a great impact on computing performance. Although complex operations can be implemented with basic operation instructions, the execution efficiency of complex operations (such as floating-point square root operations, floating-point exponentiation operations, trigonometric function operations, etc.) will be reduced. Contents o...

AI Technical Summary

Problems solved by technology

Although complex operations can be implemented with basic operation instructions, it will reduce the execution efficiency of complex operations (such as floating-point square root operations, floating-point exponentiation operations, trigonometric function operations, etc.)

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