18494455. Matrix Multiplier and Matrix Multiplier Control Method simplified abstract (HUAWEI TECHNOLOGIES CO., LTD.)
Contents
- 1 Matrix Multiplier and Matrix Multiplier Control Method
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Matrix Multiplier and Matrix Multiplier Control Method - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
Matrix Multiplier and Matrix Multiplier Control Method
Organization Name
Inventor(s)
Chun Hang Lee of Hong Kong (CN)
Matrix Multiplier and Matrix Multiplier Control Method - A simplified explanation of the abstract
This abstract first appeared for US patent application 18494455 titled 'Matrix Multiplier and Matrix Multiplier Control Method
Simplified Explanation
The patent application describes a matrix multiplier that can efficiently multiply a left fractal matrix by multiple right fractal matrices in consecutive clock cycles. This technology allows for faster matrix operations and can be useful in various applications.
- The operation circuit is coupled to a controller.
- The controller controls the operation circuit to reuse a left fractal matrix A in n consecutive clock cycles.
- The controller also controls the operation circuit to use a right fractal matrix B in n right fractal matrices in each of the n consecutive clock cycles.
- The operation circuit multiplies the left fractal matrix by the right fractal matrix in each of the n consecutive clock cycles to obtain n matrix operation results.
Potential Applications
This technology can be applied in:
- Signal processing
- Image processing
- Machine learning algorithms
Problems Solved
This technology solves the problem of slow matrix multiplication in complex systems by efficiently multiplying matrices in consecutive clock cycles.
Benefits
The benefits of this technology include:
- Faster matrix operations
- Improved efficiency in processing large amounts of data
- Reduced computational time
Potential Commercial Applications
- High-performance computing systems
- Data centers
- Scientific research institutions
Possible Prior Art
One possible prior art could be traditional matrix multiplication algorithms that are not optimized for consecutive matrix operations.
Unanswered Questions
How does this technology compare to existing matrix multiplication methods in terms of speed and efficiency?
This article does not provide a direct comparison with existing methods.
Are there any limitations to the size or type of matrices that can be multiplied using this technology?
The article does not mention any limitations regarding the size or type of matrices that can be multiplied.
Original Abstract Submitted
A matrix multiplier includes an operation circuit and a controller. The operation circuit is coupled to the controller. The controller is configured to control the operation circuit to reuse a left fractal matrix Ain n consecutive clock cycles, and control the operation circuit to use a right fractal matrix Bin n right fractal matrices in each of the n consecutive clock cycles. The operation circuit is configured to multiply, in each of the n consecutive clock cycles, the left fractal matrix by the right fractal matrix in the n right fractal matrices to obtain n matrix operation results.
