Executable Code Recompilation for Speed Optimization
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Solution Overview
Problem
Existing executable code is often generic and inefficient, leading to slower execution times due to variable-based branching and unnecessary code execution, as existing compilers and linkers struggle to optimize code for specific configurations and instances.
Innovation Solution
Recompiling executable code to replace variables with constants, eliminate unreachable code, and streamline conditional branches, thereby creating customized, lightweight code that executes faster by analyzing and optimizing code at runtime or prior to execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If generic executable code with variables is used, then code reusability and flexibility are improved, but execution speed and performance deteriorate
Solution Approach 1:
The patent applies preliminary action by performing code specialization before execution. The system analyzes generic executable code, identifies variables with known values, and replaces them with constant values in advance. This pre-processing transforms the code into a specialized version optimized for specific execution contexts, thereby improving execution speed without sacrificing the original code's reusability during development and testing phases.
2Adaptability or versatility
If generic executable code with conditional branches is used, then code adaptability is improved, but execution time increases due to unnecessary branch evaluation
Solution Approach 1:
The patent applies the extraction principle by removing unnecessary conditional branches from generic executable code during the specialization process. The system analyzes control flow graphs, determines which branches are always taken based on constant value substitutions, and extracts (removes) the unreachable or redundant branch instructions. This leaves only the essential execution path, eliminating time wasted on evaluating conditions that will always resolve to the same outcome.
3Speed
If comprehensive code analysis is performed to optimize execution, then execution speed is improved, but compilation complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the code optimization process into distinct, manageable phases: (1) variable value analysis to identify constants, (2) control flow graph construction and analysis, (3) branch determination based on constant propagation, and (4) code generation with optimized instructions. This segmented approach breaks down the complex compilation task into smaller, more tractable sub-tasks, making the overall process more manageable while still achieving significant execution speed improvements.
Data Source
AI summary
Executable code may be recompiled so that generic portions of code may be replaced with specific portions of code. The recompilation may customize executable code for a specific use or configuration, making the code lightweight and executing faster. The replacement mechanism may replace variable names with fixed values, replace conditional branches with only those branches which are known to be executed, and may eliminate executable code portions that are not executed. The replacement mechanism may comprise identifying known values defined in the executable code for variables, and replacing those variables with the constant value. Once the constants are substituted, the code may be analyzed to identify branches that may be evaluated using the constant values. Those branches may be reformed using the constant value and the rest of the conditional code that may not be accessed may be removed.