Qualcomm incorporated (20240184548). DEAD ITERATION ELIMINATION simplified abstract
Contents
- 1 DEAD ITERATION ELIMINATION
DEAD ITERATION ELIMINATION
Organization Name
Inventor(s)
Cedric Bastoul of Geispolsheim (FR)
Maxime Joël Schmitt of Strasbourg (FR)
Benoit Jean Nicolas Meister of San Diego CA (US)
Chandan Reddy of Vandœuvre-lès-Nancy (FR)
DEAD ITERATION ELIMINATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240184548 titled 'DEAD ITERATION ELIMINATION
Simplified Explanation
The abstract of the patent application describes a method for identifying and removing dead iterations in program code to optimize output data space.
- The method involves receiving input program code.
- Generating a polyhedral representation of the input program code to obtain an iteration space and a data space.
- Identifying dead iterations within the iteration space based on the data space and a specified output data space.
- Dead iterations are iterations that do not contribute to the specified output data space.
- Generating output program code without the dead iterations based on the input program code.
Potential Applications
This technology could be applied in optimizing compiler design, parallel computing, and performance tuning of software applications.
Problems Solved
This technology helps in improving the efficiency and performance of software programs by eliminating unnecessary iterations, thereby reducing computational overhead.
Benefits
The benefits of this technology include faster execution of programs, reduced memory usage, and improved overall performance of software applications.
Potential Commercial Applications
Potential commercial applications of this technology include software development tools, high-performance computing systems, and optimization software for various industries.
Possible Prior Art
Prior art in this field includes research on loop optimization techniques, compiler design, and parallel computing strategies aimed at improving program efficiency and performance.
What are the potential limitations of this technology in real-world applications?
The potential limitations of this technology in real-world applications could include compatibility issues with existing software systems, the complexity of implementing the optimization techniques, and the need for specialized expertise to utilize the technology effectively.
How does this technology compare to existing methods for optimizing program code?
This technology offers a more systematic and automated approach to identifying and removing dead iterations in program code compared to traditional manual optimization methods. By leveraging polyhedral representations and data space analysis, this technology can achieve more efficient and effective optimization results.
Original Abstract Submitted
a processor-implemented method includes receiving input program code. the method also includes generating a polyhedral representation of the input program code to obtain an iteration space and a data space. the method further includes identifying dead iterations within the iteration space based on the data space and a specified output data space. the dead iterations comprise iterations not contributing to the specified output data space. the method also includes generating, based on the input program code, output program code without the dead iterations.
