Program Specialization via Partial Interpretation and Constant Propagation
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Solution Overview
Problem
Computer programs are becoming increasingly bloated due to 'feature creep,' leading to performance and security issues, with existing bloat-reduction systems often requiring manual analysis and resulting in incorrect program execution.
Innovation Solution
A computerized process that separates a program's configuration logic from its main logic, allowing for partial interpretation to establish concrete values at a 'neck' in the program, which are then propagated to simplify and remove unused instructions through optimizing transformations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If manual inspection and rewriting is used to reduce program bloat, then program size is reduced, but time consumption and cost increase significantly
Solution Approach 1:
The system performs automatic program specialization without requiring manual analysis or rewriting by programmers. The computerized system autonomously analyzes the program, identifies unused instructions, and generates specialized versions, eliminating the need for human intervention in the bloat-reduction process.
Solution Approach 2:
The invention replaces the mechanical process of manual program inspection and rewriting with an automated computerized system. The system uses algorithms to analyze program semantics, track variable states, and transform programs automatically, substituting human manual labor with computational processes.
2Quantity of substance
If existing computerized bloat-reduction systems are used, then program size is reduced, but program correctness deteriorates due to execution errors
Solution Approach 1:
The system performs partial interpretation of the program up to a specified neck point rather than attempting to analyze or transform the entire program. This focused approach on the configuration logic portion improves correctness by avoiding complex transformations of the main logic while still achieving bloat reduction through constant propagation and instruction elimination.
Solution Approach 2:
The system incorporates testing and verification mechanisms to ensure the correctness of specialized programs. By comparing the behavior of specialized programs against the original program and verifying that they produce equivalent results for the required functionality, the system maintains program correctness while reducing size.
3Measurement precision
If full program interpretation is performed, then complete program analysis is achieved, but computational complexity and time increase
Solution Approach 1:
The program is divided into two distinct portions: configuration logic (above the neck) and main logic (below the neck). The system applies full interpretation and analysis only to the configuration logic portion, while the main logic is transformed using constant propagation. This segmentation reduces computational complexity while maintaining sufficient analysis precision for bloat reduction.
Solution Approach 2:
The system performs partial interpretation only up to the neck point rather than interpreting the entire program. This limited scope of interpretation reduces computational complexity and time requirements while still achieving effective program specialization through the subsequent constant propagation phase.
Data Source
AI summary
A computerized technique for program simplification and specialization combines a partial interpretation of the program based on a subset of program functions to obtain variable states with concrete values at a program “neck.” These concrete values are then propagated as part of an optimization transformation that simplifies the program based on these constant values, for example, by eliminating branches that are never taken based on the constant values.