Compression of high dynamic ratio fields for machine learning

Various embodiments include methods and devices for implementing compression of high dynamic ratio fields. Various embodiments may include receiving a compression block having data units, receiving a mapping for the compression block, wherein the mapping is configured to map bits of each data unit t...

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Bibliographic Details
Main Authors Aleksic, Milivoje, Szeto, Victor, Sung, Clara Ka Wah, Longo, Tom, Podaima, Jason Edward, Boisjoly, Richard, Hsieh, Cheng-Teh, Varia, Meghal, Chong, In-Suk, Gadelrab, Serag
Format Patent
LanguageEnglish
Published 01.06.2021
Subjects
BASIC ELECTRONIC CIRCUITRY
CALCULATING
CODE CONVERSION IN GENERAL
CODING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DECODING
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
PHYSICS
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Summary:Various embodiments include methods and devices for implementing compression of high dynamic ratio fields. Various embodiments may include receiving a compression block having data units, receiving a mapping for the compression block, wherein the mapping is configured to map bits of each data unit to two or more data fields to generate a first set of data fields and a second set of data fields, compressing the first set of data fields together to generate a compressed first set of data fields, and compressing the second set of data fields together to generate a compressed second set of data fields.
Bibliography:Application Number: US202016798186