20240086491.APPLICATION PROGRAMMING INTERFACE TO ACCELERATE MATRIX OPERATIONS simplified abstract (nvidia corporation)
Contents
- 1 APPLICATION PROGRAMMING INTERFACE TO ACCELERATE MATRIX OPERATIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 APPLICATION PROGRAMMING INTERFACE TO ACCELERATE MATRIX OPERATIONS - 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
APPLICATION PROGRAMMING INTERFACE TO ACCELERATE MATRIX OPERATIONS
Organization Name
Inventor(s)
Piotr Majcher of Sunnyvale CA (US)
Mostafa Hagog of Folsom CA (US)
Philippe Vandermersch of San Jose CA (US)
APPLICATION PROGRAMMING INTERFACE TO ACCELERATE MATRIX OPERATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240086491 titled 'APPLICATION PROGRAMMING INTERFACE TO ACCELERATE MATRIX OPERATIONS
Simplified Explanation
The patent application focuses on determining a matrix multiplication algorithm for a matrix multiplication operation.
- Matrix multiplication algorithm analysis
- Identification of appropriate matrix multiplication algorithm
- Optimization of matrix multiplication operation
Potential Applications
The technology can be applied in various fields such as:
- Computer science
- Data analysis
- Machine learning
- Image processing
Problems Solved
The technology addresses the following issues:
- Efficient matrix multiplication
- Algorithm selection for matrix operations
- Optimization of computational resources
Benefits
The technology offers the following benefits:
- Improved performance in matrix multiplication
- Enhanced algorithm selection process
- Increased efficiency in computational tasks
Potential Commercial Applications
The technology can be utilized in commercial sectors like:
- Cloud computing services
- Data centers
- High-performance computing systems
Possible Prior Art
One possible prior art is the Strassen algorithm for matrix multiplication, which aims to reduce the number of arithmetic operations required for multiplying matrices.
Unanswered Questions
How does the technology compare to existing matrix multiplication algorithms in terms of efficiency and performance?
The article does not provide a direct comparison with other algorithms to showcase the superiority of the proposed method.
Are there any limitations or constraints in implementing this technology in real-world applications?
The article does not mention any potential challenges or restrictions that may arise when implementing the technology in practical scenarios.
Original Abstract Submitted
apparatuses, systems, and techniques to determine a matrix multiplication algorithm for a matrix multiplication operation. in at least one embodiment, a matrix multiplication operation is analyzed to determine an appropriate matrix multiplication algorithm to perform the matrix multiplication algorithm.
