KR20230137356A - 계층적 및 공유 지수 부동 소수점 데이터 타입 - Google Patents
계층적 및 공유 지수 부동 소수점 데이터 타입 Download PDFInfo
- Publication number
- KR20230137356A KR20230137356A KR1020237027167A KR20237027167A KR20230137356A KR 20230137356 A KR20230137356 A KR 20230137356A KR 1020237027167 A KR1020237027167 A KR 1020237027167A KR 20237027167 A KR20237027167 A KR 20237027167A KR 20230137356 A KR20230137356 A KR 20230137356A
- Authority
- KR
- South Korea
- Prior art keywords
- value
- floating point
- shared
- exponent
- values
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
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Classifications
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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
Landscapes
- 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)
- Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Computational Linguistics (AREA)
- Neurology (AREA)
- Artificial Intelligence (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- General Health & Medical Sciences (AREA)
- Molecular Biology (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Complex Calculations (AREA)
- Electromagnetism (AREA)
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 | 2021-06-28 | ||
| US17/361,263 US11886833B2 (en) | 2021-02-10 | 2021-06-28 | Hierarchical and shared exponent floating point data types |
| PCT/US2022/013086 WO2022173572A1 (en) | 2021-02-10 | 2022-01-20 | Hierarchical and shared exponent floating point data types |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| KR20230137356A true KR20230137356A (ko) | 2023-10-04 |
Family
ID=82704967
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020237027167A Pending KR20230137356A (ko) | 2021-02-10 | 2022-01-20 | 계층적 및 공유 지수 부동 소수점 데이터 타입 |
Country Status (6)
| Country | Link |
|---|---|
| US (1) | US11886833B2 (enExample) |
| EP (1) | EP4291979A1 (enExample) |
| JP (1) | JP7899185B2 (enExample) |
| KR (1) | KR20230137356A (enExample) |
| CN (1) | CN116830077A (enExample) |
| TW (1) | TWI913392B (enExample) |
Families Citing this family (1)
| 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 |
Family Cites Families (8)
| 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 |
| US9891887B2 (en) | 2014-07-02 | 2018-02-13 | Via Alliance Semiconductor Co., Ltd | Subdivision of a fused compound arithmetic operation |
| US10579334B2 (en) * | 2018-05-08 | 2020-03-03 | Microsoft Technology Licensing, Llc | Block floating point computations using shared exponents |
| US12205035B2 (en) | 2018-06-08 | 2025-01-21 | Intel Corporation | Artificial neural network training using flexible floating point tensors |
| US10747502B2 (en) | 2018-09-19 | 2020-08-18 | Xilinx, Inc. | Multiply and accumulate circuit |
| US12141689B2 (en) | 2019-03-18 | 2024-11-12 | Nvidia Corporation | Data compression for a neural network |
| US11934797B2 (en) | 2019-04-04 | 2024-03-19 | Intel Corporation | Mechanism to perform single precision floating point extended math operations |
-
2021
- 2021-06-28 US US17/361,263 patent/US11886833B2/en active Active
-
2022
- 2022-01-10 TW TW111100914A patent/TWI913392B/zh active
- 2022-01-20 JP JP2023541370A patent/JP7899185B2/ja active Active
- 2022-01-20 EP EP22704074.8A patent/EP4291979A1/en active Pending
- 2022-01-20 CN CN202280014048.0A patent/CN116830077A/zh active Pending
- 2022-01-20 KR KR1020237027167A patent/KR20230137356A/ko active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| US20220253281A1 (en) | 2022-08-11 |
| EP4291979A1 (en) | 2023-12-20 |
| JP7899185B2 (ja) | 2026-08-03 |
| TWI913392B (zh) | 2026-02-01 |
| US11886833B2 (en) | 2024-01-30 |
| TW202234229A (zh) | 2022-09-01 |
| CN116830077A (zh) | 2023-09-29 |
| JP2024508596A (ja) | 2024-02-28 |
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St.27 status event code: A-0-1-A10-A15-nap-PA0105 |
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