Huawei technologies co., ltd. (20240338174). MATRIX COMPUTING METHOD, CHIP, AND RELATED DEVICE simplified abstract
Contents
MATRIX COMPUTING METHOD, CHIP, AND RELATED DEVICE
Organization Name
Inventor(s)
MATRIX COMPUTING METHOD, CHIP, AND RELATED DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240338174 titled 'MATRIX COMPUTING METHOD, CHIP, AND RELATED DEVICE
Simplified Explanation: This patent application describes a matrix computing method, a chip, and a related device that optimize computing by excluding elements with a value of 0 in one vector.
- The chip includes a first buffer for a first vector and a second buffer for a second vector.
- A scheduling module generates a selection signal based on the first vector to optimize processing.
- The selection signal allows the processing element to obtain non-zero elements from the first buffer and elements from the second buffer for efficient operations.
- By excluding elements with a value of 0 in one vector, the computing amount is reduced.
Key Features and Innovation:
- Optimization of matrix computing by excluding elements with a value of 0 in one vector.
- Use of buffers and a scheduling module to enhance processing efficiency.
- Selection signal generation based on the first vector for improved operations.
Potential Applications: This technology can be applied in various fields such as machine learning, data analysis, and scientific computing where matrix operations are common.
Problems Solved:
- Reducing computing amount by excluding elements with a value of 0.
- Enhancing processing efficiency in matrix operations.
Benefits:
- Improved computing efficiency.
- Faster processing of matrix operations.
- Reduction in computational resources.
Commercial Applications: Potential commercial uses include developing specialized chips for matrix computing tasks in industries such as artificial intelligence, finance, and research.
Prior Art: Researchers can explore prior patents related to matrix computing methods and optimization techniques in chip design.
Frequently Updated Research: Stay updated on advancements in matrix computing methods, chip design, and optimization algorithms to further enhance processing efficiency.
Questions about Matrix Computing: 1. How does excluding elements with a value of 0 in one vector impact overall computing efficiency? 2. What are the potential limitations of using selection signals based on the first vector for matrix operations?
Original Abstract Submitted
this application provides a matrix computing method, a chip, and a related device. the chip includes a first buffer, is configured to buffer a first vector, and a second buffer is configured to buffer a second vector. a scheduling module generates a selection signal based on a bitmap of the first vector. the selection signal may cause the processing element to obtain, from the first buffer, a group of non-zero elements in the first vector, and cause the processing element to obtain, from the second buffer, a group of elements in the second vector. an operation is performed between the first vector and the second vector based on the group of non-zero elements in the first vector and the group of elements in the second vector. in this application, an element whose value is 0 in one vector may be excluded from computing, to reduce a computing amount.
