Nvidia corporation (20240104790). OPTIMIZING GRID-BASED COMPUTE GRAPHS simplified abstract
Contents
- 1 OPTIMIZING GRID-BASED COMPUTE GRAPHS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 OPTIMIZING GRID-BASED COMPUTE GRAPHS - 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 How does this technology compare to existing graph compression methods?
- 1.11 What are the specific industries that could benefit the most from this innovation?
- 1.12 Original Abstract Submitted
OPTIMIZING GRID-BASED COMPUTE GRAPHS
Organization Name
Inventor(s)
Shekhar Dwivedi of Santa Clara CA (US)
OPTIMIZING GRID-BASED COMPUTE GRAPHS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240104790 titled 'OPTIMIZING GRID-BASED COMPUTE GRAPHS
Simplified Explanation
The patent application describes techniques for compressed grid-based graph representations for efficient implementations of graph-mapped computing applications.
- Selecting a reference grid with multiple blocks
- Assigning nodes of the graph to blocks of the grid
- Generating a graph representation that maps nodal connections relative to the reference grid
Potential Applications
This technology could be applied in various fields such as network optimization, data analysis, and machine learning algorithms.
Problems Solved
1. Efficient implementation of graph-mapped computing applications 2. Compression of grid-based graph representations for better performance
Benefits
1. Improved efficiency in computing applications 2. Reduced storage requirements for graph representations 3. Enhanced performance in graph mapping tasks
Potential Commercial Applications
Optimizing network routing algorithms Enhancing data visualization tools Improving machine learning models
Possible Prior Art
One possible prior art could be the use of traditional graph representations in computing applications before the introduction of compressed grid-based techniques.
Unanswered Questions
How does this technology compare to existing graph compression methods?
This article does not provide a direct comparison with other graph compression techniques.
What are the specific industries that could benefit the most from this innovation?
The article does not specify which industries could see the most significant impact from implementing this technology.
Original Abstract Submitted
disclosed are apparatuses, systems, and techniques that enable compressed grid-based graph representations for efficient implementations of graph-mapped computing applications. the techniques include but are not limited to selecting a reference grid having a plurality of blocks, assigning nodes of the graph to blocks of the grid, and generating a graph representation that maps directions, relative to the reference grid, of nodal connections of the graph.
