JP2024508596A - 階層的な共有指数浮動小数点データタイプ - Google Patents

階層的な共有指数浮動小数点データタイプ Download PDF

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Publication number
JP2024508596A
JP2024508596A JP2023541370A JP2023541370A JP2024508596A JP 2024508596 A JP2024508596 A JP 2024508596A JP 2023541370 A JP2023541370 A JP 2023541370A JP 2023541370 A JP2023541370 A JP 2023541370A JP 2024508596 A JP2024508596 A JP 2024508596A
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Japan
Prior art keywords
value
shared
floating point
values
exponent
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Pending
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JP2023541370A
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English (en)
Japanese (ja)
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JP2024508596A5 (https=
Inventor
ロウハーニー，ビタ ダルビッシュ
エランゴ，ヴェンムギル
シャフィプール，ラスール
フォワーズ，ジェレミー
ガン リウ，ミン
シー，ジンウェン
シー． バーガー，ダグラス
エス． チュン，エリック
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Microsoft Technology Licensing LLC
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Microsoft Technology Licensing LLC
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Priority claimed from PCT/US2022/013086 external-priority patent/WO2022173572A1/en
Publication of JP2024508596A publication Critical patent/JP2024508596A/ja
Publication of JP2024508596A5 publication Critical patent/JP2024508596A5/ja
Pending legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/38—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation
    • G06F7/48—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using non-contact-making devices, e.g. tube, solid state device; using unspecified devices
    • G06F7/483—Computations with numbers represented by a non-linear combination of denominational numbers, e.g. rational numbers, logarithmic number system or floating-point numbers
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • H—ELECTRICITY
    • H03—ELECTRONIC CIRCUITRY
    • H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
    • H03M7/14—Conversion to or from non-weighted codes
    • H03M7/24—Conversion to or from floating-point codes
    • H—ELECTRICITY
    • H03—ELECTRONIC CIRCUITRY
    • H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
    • H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Computational Mathematics (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Nonlinear Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Data Mining & Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Computational Linguistics (AREA)
  • Neurology (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Complex Calculations (AREA)
  • Electromagnetism (AREA)
JP2023541370A 2021-02-10 2022-01-20 階層的な共有指数浮動小数点データタイプ Pending JP2024508596A (ja)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US202163148086P 2021-02-10 2021-02-10
US63/148,086 2021-02-10
US17/361,263 US11886833B2 (en) 2021-02-10 2021-06-28 Hierarchical and shared exponent floating point data types
US17/361,263 2021-06-28
PCT/US2022/013086 WO2022173572A1 (en) 2021-02-10 2022-01-20 Hierarchical and shared exponent floating point data types

Publications (2)

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JP2024508596A true JP2024508596A (ja) 2024-02-28
JP2024508596A5 JP2024508596A5 (https=) 2024-12-27

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JP2023541370A Pending JP2024508596A (ja) 2021-02-10 2022-01-20 階層的な共有指数浮動小数点データタイプ

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US (1) US11886833B2 (https=)
EP (1) EP4291979A1 (https=)
JP (1) JP2024508596A (https=)
KR (1) KR20230137356A (https=)
CN (1) CN116830077A (https=)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20240402993A1 (en) * 2023-05-30 2024-12-05 Microsoft Technology Licensing, Llc Determining shared exponent values for shared exponent floating point data types

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190347072A1 (en) * 2018-05-08 2019-11-14 Microsoft Technology Licensing, Llc Block floating point computations using shared exponents
JP2019212295A (ja) * 2018-06-08 2019-12-12 インテル・コーポレーション フレキシブルな浮動小数点テンソルを用いた人工ニューラルネットワーク訓練
JP2021536076A (ja) * 2018-09-19 2021-12-23 ザイリンクス インコーポレイテッドXilinx Incorporated 乗算累積回路

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8301803B2 (en) 2009-10-23 2012-10-30 Samplify Systems, Inc. Block floating point compression of signal data
WO2013003479A2 (en) 2011-06-30 2013-01-03 Samplify Systems, Inc. Compression of floating-point data
US12141689B2 (en) 2019-03-18 2024-11-12 Nvidia Corporation Data compression for a neural network

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190347072A1 (en) * 2018-05-08 2019-11-14 Microsoft Technology Licensing, Llc Block floating point computations using shared exponents
JP2019212295A (ja) * 2018-06-08 2019-12-12 インテル・コーポレーション フレキシブルな浮動小数点テンソルを用いた人工ニューラルネットワーク訓練
JP2021536076A (ja) * 2018-09-19 2021-12-23 ザイリンクス インコーポレイテッドXilinx Incorporated 乗算累積回路

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Publication number Publication date
US20220253281A1 (en) 2022-08-11
TW202234229A (zh) 2022-09-01
EP4291979A1 (en) 2023-12-20
KR20230137356A (ko) 2023-10-04
US11886833B2 (en) 2024-01-30
CN116830077A (zh) 2023-09-29

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