Huawei technologies co., ltd. (20240119114). Matrix Multiplier and Matrix Multiplier Control Method simplified abstract
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 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 20240119114 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 a right fractal matrix in consecutive clock cycles.
- The operation circuit is coupled to the controller.
- The controller controls the operation circuit to reuse a left fractal matrix in n consecutive clock cycles.
- The controller also controls the operation circuit to use a right fractal matrix 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 various fields such as signal processing, image processing, and artificial intelligence where matrix multiplication is a common operation.
Problems Solved
This technology solves the problem of efficiently multiplying matrices in consecutive clock cycles, which can improve the overall performance of matrix operations in various applications.
Benefits
The benefits of this technology include faster matrix multiplication, reduced computational time, and improved efficiency in processing large amounts of data.
Potential Commercial Applications
One potential commercial application of this technology is in hardware accelerators for deep learning algorithms, where fast matrix multiplication is essential for training and inference tasks.
Possible Prior Art
Prior art in the field of matrix multiplication includes traditional methods using CPU or GPU processing, as well as specialized hardware accelerators for matrix operations.
What is the impact of this technology on computational efficiency in matrix multiplication tasks?
This technology significantly improves computational efficiency by enabling faster matrix multiplication in consecutive clock cycles, reducing processing time and improving overall performance in various applications.
How does this technology compare to existing hardware accelerators for matrix operations?
This technology offers a unique approach to matrix multiplication by reusing matrices in consecutive clock cycles, which can potentially outperform existing hardware accelerators in terms of efficiency and speed.
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.
