Neural network operation methods and apparatus
By replacing element-wise operations with shuffling and pooling operations in neural network operations, the dependence of the MAC arithmetic unit on weights and the limitations of hardware resources are resolved, thereby improving the execution speed and efficiency of neural network operations.
CN114154628BActive Publication Date: 2026-07-17SAMSUNG ELECTRONICS CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SAMSUNG ELECTRONICS CO LTD
- Filing Date
- 2021-03-09
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
In existing technologies, MAC processors require weights when performing element-wise summation operations, and their hardware resource utilization and processing speed are limited, making it difficult to efficiently perform channel-wise MAC operations.
Method used
The elements of the matrix are shuffled by a shuffler, and pooling operations are used to replace element-wise operations, reducing the dependence on weights and improving hardware resource utilization and processing speed.
Benefits of technology
This approach improves the execution speed and efficiency of neural network operations without increasing hardware resources, reduces memory usage, and increases the utilization of the arithmetic unit.
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Smart Images
Figure CN114154628B_ABST
Abstract
Disclosed are a neural network operation method and apparatus. A computer-implemented neural network operation method includes: storing a matrix on which an operation of a neural network is to be performed in a memory; reading the matrix on which the operation of the neural network is to be performed from the memory by a shuffler; shuffling a portion of elements of the matrix by the shuffler and sending the shuffled matrix to an operator; and performing a replacement operation of the operation based on the shuffled matrix by the operator.
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