Computing core and data processing method
By designing a flexible computing core structure, using multiplexers and hardware multi-threaded control circuits, the memory wall problem of neural network processors and the problem of low computing resource utilization are solved, and efficient computing power utilization and cost reduction are achieved , suitable for a variety of network algorithms.
Patent Information
- Application Number
- PCT/CN2024/078172
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2023-06-30
- Filing Date
- 2024-02-22
- Publication Date
- 2025-01-02
AI Technical Summary
Due to the memory wall problem, existing neural network processors are difficult to meet the high computing power requirements of deep learning algorithms, and have low computing resource utilization and high hardware cost, making it difficult to compatible with the number of layers and computing power requirements of different network algorithms.
Design a computing core to couple the output end of each convolutional circuit with the input end of the multiplexer, and use the selection function of the multiplexer to flexibly meet the computing resource requirements, improve the utilization rate of the computing resource, and use addition The multi-threaded control circuit of the machine and hardware realizes the expansion of input channels and output channels, optimizing data access and processing efficiency.
It improves the utilization rate of computing resources, reduces hardware costs and circuit area, enhances the applicability of computing and verification of different network algorithms, and solves the memory wall problem and the problem of low computing resource utilization.
Smart Images

Figure CN2024078172_02012025_PF_FP_ABST
Abstract
Citation Information
Patent Citations
Computing core and data processing method
CN119226676A
Convolution calculation method and device
CN111047025A
Convolution operation structure for reducing data migration and power consumption of deep neural network
CN111275180A
Method and apparatus for processing convolution operation in neural network
CN111382859A
Convolution operation structure, convolution operation array and related equipment
CN115982529A