Microsoft technology licensing, llc (20240134564). TRANSPOSING MATRICES BASED ON A MULTI-LEVEL CROSSBAR simplified abstract
Contents
- 1 TRANSPOSING MATRICES BASED ON A MULTI-LEVEL CROSSBAR
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TRANSPOSING MATRICES BASED ON A MULTI-LEVEL CROSSBAR - 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
TRANSPOSING MATRICES BASED ON A MULTI-LEVEL CROSSBAR
Organization Name
microsoft technology licensing, llc
Inventor(s)
Jinhang Choi of Bellevue WA (US)
Haishan Zhu of Bellevue WA (US)
Eric S. Chung of Woodinville WA (US)
TRANSPOSING MATRICES BASED ON A MULTI-LEVEL CROSSBAR - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240134564 titled 'TRANSPOSING MATRICES BASED ON A MULTI-LEVEL CROSSBAR
Simplified Explanation
The abstract describes a system and method for transposing matrices based on a multi-level crossbar. Here is a simplified explanation of the patent application:
- The system includes a memory to store a matrix with elements arranged in rows and columns.
- An input buffer retrieves a subset of elements from the memory, each from a different column in the matrix.
- A multi-level crossbar performs a transpose operation on the subset of elements.
- An output buffer receives the transposed subset and stores each element in a different column in the matrix.
Potential Applications
This technology could be applied in data processing systems, scientific computing, and machine learning algorithms.
Problems Solved
This innovation solves the problem of efficiently transposing matrices without the need for complex algorithms or extensive memory usage.
Benefits
The benefits of this technology include faster matrix transposition, reduced memory requirements, and improved overall system performance.
Potential Commercial Applications
A potential commercial application for this technology could be in high-performance computing systems for industries such as finance, healthcare, and research.
Possible Prior Art
One possible prior art for matrix transposition methods is the use of traditional algorithms like the Strassen algorithm or the Coppersmith-Winograd algorithm.
What is the impact of this technology on data processing systems?
This technology can significantly improve the efficiency of data processing systems by enabling faster matrix transposition operations, leading to overall performance enhancements.
How does this innovation compare to existing matrix transposition methods in terms of memory usage?
Compared to traditional methods, this innovation reduces memory requirements by efficiently transposing matrices using a multi-level crossbar, making it a more resource-efficient solution.
Original Abstract Submitted
embodiments of the present disclosure include systems and methods for transposing matrices based on a multi-level crossbar. a system may include a memory configured to store a matrix comprising a plurality of elements arranged in a set of rows and a set of columns. a system may include an input buffer configured to retrieve a subset of a plurality of elements from the memory. each element in the subset of the plurality of elements is retrieved from a different column in the matrix. a system may include a multi-level crossbar configured to perform a transpose operation on the subset of the plurality of elements. a system may include an output buffer configured to receive the transposed subset of the plurality of elements and store, in the memory, each element in the transposed subset of the plurality of elements in a different column in the matrix.
