Google llc (20240118875). DEPLOYING OPTIMIZATION PROFILES FOR COMPILING COMPUTER PROGRAMS IN DATA CENTERS simplified abstract
Contents
- 1 DEPLOYING OPTIMIZATION PROFILES FOR COMPILING COMPUTER PROGRAMS IN DATA CENTERS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DEPLOYING OPTIMIZATION PROFILES FOR COMPILING COMPUTER PROGRAMS IN DATA CENTERS - 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
DEPLOYING OPTIMIZATION PROFILES FOR COMPILING COMPUTER PROGRAMS IN DATA CENTERS
Organization Name
Inventor(s)
Phitchaya Mangpo Phothilimthana of Mountain View CA (US)
DEPLOYING OPTIMIZATION PROFILES FOR COMPILING COMPUTER PROGRAMS IN DATA CENTERS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240118875 titled 'DEPLOYING OPTIMIZATION PROFILES FOR COMPILING COMPUTER PROGRAMS IN DATA CENTERS
Simplified Explanation
The abstract describes a method for feedback-directed optimization using a data store of optimization profiles for compiling computer programs. The method involves determining the validity of optimization profiles for the current software version of the compiler and removing invalid profiles from the data store.
- The method involves maintaining a data store of optimization profiles for compiling computer programs.
- The optimization profiles are used by a compiler to compile computer programs that can be invoked by executing workloads.
- Operations are performed to determine the validity of optimization profiles for the current software version of the compiler.
- Invalid optimization profiles are removed from the data store in response to being determined as not valid for the current software version of the compiler.
Potential Applications
This technology could be applied in software development environments to optimize the performance of compiled computer programs based on feedback from executing workloads.
Problems Solved
This technology helps in identifying and removing invalid optimization profiles for a compiler, ensuring that only valid profiles are used for compiling computer programs.
Benefits
The method improves the efficiency and effectiveness of compiler optimization by maintaining a data store of valid optimization profiles and removing invalid ones.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of high-performance software where optimization of compiled programs is crucial for achieving desired performance levels.
Possible Prior Art
Prior art in the field of compiler optimization techniques may include methods for profiling and optimizing code based on runtime performance data.
What are the specific criteria used to determine the validity of optimization profiles for the current software version of the compiler?
The specific criteria used to determine the validity of optimization profiles for the current software version of the compiler are not explicitly mentioned in the abstract. It would be important to know what factors or metrics are considered when evaluating the compatibility of optimization profiles with the compiler's software version.
How does the method handle cases where an optimization profile is found to be invalid for the current software version of the compiler?
The abstract mentions that invalid optimization profiles are removed from the data store, but it does not elaborate on the process or implications of this removal. Understanding how the method handles and mitigates the impact of removing invalid profiles could provide insights into the overall effectiveness of the optimization process.
Original Abstract Submitted
methods, systems, and apparatus, including computer programs encoded on computer storage media, for feedback-directed optimization. one of the methods includes maintaining a data store comprising a plurality of optimization profiles that are used by a compiler to compile respective computer programs. the computer programs can be invoked by a set of executing workloads. operations are repeatedly performed that include, for each optimization profile in at least a subset of the optimization profiles: determining or predicting whether the optimization profile is a valid optimization profile for a current software version of the compiler, and in response to determining or predicting that the optimization profile is not a valid optimization profile for the current software version of the compiler, removing the optimization profile from the data store.
