/Deep Learning Acceleration With Mixed Precision
Abstract

A device for deep learning acceleration with mixed precision may include a first data port configured to receive a map data segment and a second data port configured to receive a kernel data segment. The device may include a precision mode port configured to receive an indication of an input precision mode that indicates a word length for the map data segment and for the kernel data segment. The device may include a multiplier component configured to generate a multiplier component output based on the input precision mode and based on multiplying the map data segment and the kernel data segment. The device may include an adder component configured to generate an adder component output based on the input precision mode and based on the multiplier component output. The device may include an output port configured to output the adder component output.

Full Text

What is claimed is:

A device for deep learning acceleration with mixed precision may include a first data port configured to receive a map data segment and a second data port configured to receive a kernel data segment. The device may include a precision mode port configured to receive an indication of an input precision mode that indicates a word length for the map data segment and for the kernel data segment. The device may include a multiplier component configured to generate a multiplier component output based on the input precision mode and based on multiplying the map data segment and the kernel data segment. The device may include an adder component configured to generate an adder component output based on the input precision mode and based on the multiplier component output. The device may include an output port configured to output the adder component output.
Timeline
Filed
03/26/2026
Published
07/30/2026
Granted
Not Available
IPC Codes(2)
G06N 3/063:using electronic means
G06F 7/544:for evaluating functions by calculation