Arithmetic control device and method
The arithmetic control device and method dynamically adjust decimal point and bit division positions to maintain CNN inference accuracy by tracking saturation counts, addressing issues in existing CNN hardware performance due to inappropriate step sizes and bit division, thus improving convolution operations with more bits than input data bits.
Patent Information
- Application Number
- PCT/JP2024/025017
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2024-07-10
- Publication Date
- 2026-01-15
AI Technical Summary
Existing convolutional neural network (CNN) hardware faces challenges in maintaining inference accuracy due to inappropriate step sizes and bit division positions during convolution operations, leading to clipping and reduced performance when performing calculations with more bits than the input data bits, especially in fixed-point int-type multiply-and-accumulate circuits.
An arithmetic control device and method that dynamically adjusts decimal point positions and bit division positions by using counters to track saturation occurrences, allowing for precise convolution operations even when exceeding input data bits, by dividing data into upper and lower parts and adjusting positions based on saturation counts and data distributions.
This approach prevents a decrease in inference accuracy by optimizing decimal point and bit division positions, ensuring accurate convolution operations even when using more bits than input data bits, thereby enhancing CNN performance and reducing clipping during accumulation.
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Abstract
Citation Information
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