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Method and apparatus with floating point processing

A floating-point, absolute value technology, applied in the direction of electrical digital data processing, digital data processing components, physical realization, etc., can solve the problem of large energy consumption

Pending Publication Date: 2021-07-16
SAMSUNG ELECTRONICS CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order for a typical neural network device to handle large amounts of computation, it typically has to perform operations that read large amounts of data from memory or write large amounts of data to memory, thus potentially consuming large amounts of energy due to frequent memory accesses

Method used

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  • Method and apparatus with floating point processing
  • Method and apparatus with floating point processing
  • Method and apparatus with floating point processing

Examples

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Embodiment Construction

[0055] The following detailed description is provided to assist the reader in gaining an overall understanding of the methods, devices and / or systems described herein. However, various alterations, modifications, and equivalents of the methods, apparatus, and / or systems described herein will be apparent having an understanding of the disclosure of the present application. For example, the order of operations described herein are examples only, and are not limited to those set forth herein, but can be changed obviously after understanding the disclosure of the present application, except for operations that must be performed in a certain order. Also, descriptions of known features may be omitted after understanding the disclosure of the present application for increased clarity and conciseness.

[0056] The features described herein may be embodied in different forms and are not to be construed as limited to the examples described herein. Rather, the examples described herein ...

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Abstract

Methods and apparatus with floating point processing are provided. A method includes receiving a first floating point operand and a second floating point operand, each having an n-bit format comprising a sign field, an exponent field, and a significand field, normalizing a binary value obtained by performing arithmetic operations for fields corresponding to each other in the first and second floating point operands for an n-bit multiplication operation, determining whether the normalized binary value is a number that is representable in the n-bit format or an extended normal number that is not representable in the n-bit format, according to a result of the determining, encoding the normalized binary value using an extension bit format in which an extension pin identifying whether the normalized binary value is the extended normal number is added to the n-bit format, and outputting the encoded binary value using the extended bit format, as a result of the n-bit multiplication operation.

Description

[0001] Cross References to Related Applications [0002] This application claims priority from Korean Patent Application No. 10-2019-0178509 filed in the Korean Intellectual Property Office on December 30, 2019, the entire disclosure of which is incorporated herein by reference for all purposes. technical field [0003] The following description relates to methods and apparatus for floating point processing. Background technique [0004] A neural network may be a computing system implemented with reference to a hardware computing architecture. Neural network technology can analyze input data and extract effective information from it. [0005] Neural network devices often require extensive computation on complex input data. In order for a typical neural network device to handle heavy computations, it often has to perform operations that read or write large amounts of data from or to memory, thus potentially consuming a lot of energy due to frequent memory accesses. Low-pow...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F7/487G06F7/499
CPCG06F7/487G06F7/4876G06F7/49915G06F7/483G06F7/5443G06F2207/382Y02D10/00G06F7/4983G06F9/30014G06F9/30025G06N3/063G06F9/3001G06F5/012
Inventor 姜信行李硕汉
Owner SAMSUNG ELECTRONICS CO LTD
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