Compiler Metadata Optimization Pipeline
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Solution Overview
Problem
Traditional compilers face inefficiencies in compile time due to unnecessary pattern matching for optimizations that do not yield significant benefits, leading to reduced productivity for developers.
Innovation Solution
A computer-implemented method that utilizes metadata collection and consumption during compilation to identify optimizations with no significant impact, thereby skipping them and reducing compile time without affecting execution performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional compilers execute a sequence of optimizations in a fixed pipeline, then code quality is improved, but compile time increases due to unnecessary pattern matching
Solution Approach 1:
The compiler performs preliminary analysis during the compilation process to identify which optimizations actually produce changes in the code. This preliminary information is then used to adjust the optimization pipeline for subsequent compilations, skipping optimizations that previously yielded no changes. This preliminary action resolves the contradiction by gathering data about actual optimization effectiveness before making decisions about which optimizations to apply.
Solution Approach 2:
The optimization pipeline is made dynamic by adjusting which optimizations are applied based on historical metadata from previous compilations. Instead of a fixed pipeline, the system adapts the optimization sequence by disabling optimizations that consistently produce no changes while maintaining those that do produce improvements. This dynamic adjustment resolves the contradiction by making the compilation process adaptive rather than static.
2Power
If compilers apply all optimizations in the pipeline, then execution performance is improved, but productivity decreases due to extended compile time
Solution Approach 1:
The system changes parameters of the compilation process by modifying which optimizations are enabled or disabled based on historical data. Metadata from previous compilations is analyzed to determine which optimizations actually improved execution performance, and only those optimizations are retained in subsequent compilations. This parameter change resolves the contradiction by optimizing the compilation process itself based on performance outcomes.
Solution Approach 2:
The system implements feedback loops where the results of previous compilations (which optimizations produced changes) are fed back into the compilation process. This feedback mechanism allows the compiler to learn from past performance and adjust its optimization strategy accordingly, resolving the contradiction by using historical performance data to guide future optimization decisions.
3Manufacturing precision
If compilers perform pattern matching for all optimizations, then code optimization is maximized, but time consumption increases with no benefit
Solution Approach 1:
The system extracts and removes optimizations from the compilation pipeline that consistently produce no changes in the code. By analyzing historical metadata to identify ineffective optimizations, the system takes out these redundant pattern matching operations, thereby reducing compile time without sacrificing the effectiveness of optimizations that do produce meaningful improvements.
Data Source
AI summary
In an approach to improve computer-based compilation, embodiments of the present invention determine if there is an entry in a metadata file for a compilation command request. Further, in response to determining there is no entry in the metadata file, embodiments execute a first process, wherein the first process comprises: initiating a compilation for a compilation unit; and determining the compilation has made a change to an input program within or below a predetermined threshold. Additionally, embodiments, determine that a compiler option used to disable an optimization is identified, record the compiler option to disable the optimization in the metadata file, and disable the optimization based on the compiler option to disable in the metadata file.