WO2023227064A9 - 一种浮点数压缩方法、运算装置及计算器可读取存储媒介 - Google Patents
一种浮点数压缩方法、运算装置及计算器可读取存储媒介 Download PDFInfo
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- WO2023227064A9 WO2023227064A9 PCT/CN2023/096302 CN2023096302W WO2023227064A9 WO 2023227064 A9 WO2023227064 A9 WO 2023227064A9 CN 2023096302 W CN2023096302 W CN 2023096302W WO 2023227064 A9 WO2023227064 A9 WO 2023227064A9
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- WIPO (PCT)
- Prior art keywords
- floating
- point number
- compression method
- storage medium
- readable storage
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- 230000006835 compression Effects 0.000 title abstract 4
- 238000007906 compression Methods 0.000 title abstract 4
- 238000000034 method Methods 0.000 title abstract 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
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- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Mathematical Optimization (AREA)
- Computing Systems (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Pure & Applied Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Nonlinear Science (AREA)
- General Engineering & Computer Science (AREA)
- Complex Calculations (AREA)
- Compression, Expansion, Code Conversion, And Decoders (AREA)
Abstract
一种浮点数压缩方法,包含使用一算术单元进行以下步骤:取得多个浮点数;对该等浮点数产生共同倍率因子;对于该等浮点数中每一者,压缩为多个定点数尾数;输出一压缩结果,该压缩结果包含该等共同倍率因子及该等个定点数尾数。
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
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US202263345918P | 2022-05-26 | 2022-05-26 | |
US63/345,918 | 2022-05-26 | ||
US202263426727P | 2022-11-19 | 2022-11-19 | |
US63/426,727 | 2022-11-19 |
Publications (2)
Publication Number | Publication Date |
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WO2023227064A1 WO2023227064A1 (zh) | 2023-11-30 |
WO2023227064A9 true WO2023227064A9 (zh) | 2024-01-04 |
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PCT/CN2023/096302 WO2023227064A1 (zh) | 2022-05-26 | 2023-05-25 | 一种浮点数压缩方法、运算装置及计算器可读取存储媒介 |
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WO (1) | WO2023227064A1 (zh) |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
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US7355603B2 (en) * | 2004-08-04 | 2008-04-08 | Nvidia Corporation | Filtering unit for floating-point texture data |
US9047118B2 (en) * | 2011-06-30 | 2015-06-02 | Altera Corporation | Computationally efficient compression of floating-point data |
US11615301B2 (en) * | 2019-09-03 | 2023-03-28 | Microsoft Technology Licensing, Llc | Lossless exponent and lossy mantissa weight compression for training deep neural networks |
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- 2023-05-25 WO PCT/CN2023/096302 patent/WO2023227064A1/zh unknown
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Publication number | Publication date |
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WO2023227064A1 (zh) | 2023-11-30 |
TW202403539A (zh) | 2024-01-16 |
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