INSTRUCTIONS AND LOGIC TO PERFORM FLOATING POINT AND INTEGER OPERATIONS FOR MACHINE LEARNING

One embodiment provides a graphics processor comprising a memory controller and a graphics processing resource coupled with the memory controller. The graphics processing resource includes circuitry configured to execute an instruction to perform a matrix operation on first input including weight da...

Full description

Saved in:
Bibliographic Details
Main Authors Chen, Xiaoming, Kaul, Himanshu, Yao, Anbang, Ranganathan, Vasanth, Galoppo Von Borries, Nicolas C, Nurvitadhi, Eriko, Appu, Abhishek R, Mathew, Sanu K, Tang, Ping T, Lin, Tsung-Han, Koker, Altug, Jahagirdar, Sanjeev, Ray, Joydeep, Sinha, Kamal, Vembu, Balaji, Anders, Mark A, Barik, Rajkishore, Strickland, Michael S, Shpeisman, Tatiana
Format Patent
LanguageEnglish
Published 10.11.2022
Subjects
ADVERTISING
ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICESUSING STATIC MEANS TO PRESENT VARIABLE INFORMATION
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
CRYPTOGRAPHY
DISPLAY
EDUCATION
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SEALS
Online AccessGet full text

Cover

More Information
Summary:One embodiment provides a graphics processor comprising a memory controller and a graphics processing resource coupled with the memory controller. The graphics processing resource includes circuitry configured to execute an instruction to perform a matrix operation on first input including weight data and second input including input activation data, generate intermediate data based on a result of the matrix operation, quantize the intermediate data to a floating-point format determined based on a statistical distribution of first output data, and output, as second output data, quantized intermediate data in a determined floating-point format.
Bibliography:Application Number: US202217834482