Selective Compiler Optimization Using Intermediate Representation Feedback
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Solution Overview
Problem
Existing compiler optimization techniques are inefficient and resource-intensive, as they often apply optimizations that do not improve the input IR, consuming significant time and processor resources without enhancing performance.
Innovation Solution
A compiler system that performs profile-based optimization by identifying which optimizations change the IR and selectively applying them in subsequent compilations, omitting those that do not improve the IR, thereby reducing unnecessary processing and optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If compiler optimizations are applied to improve executable performance, then program execution speed is improved, but compilation time and processor resource consumption increase
Solution Approach 1:
The system performs preliminary analysis during compilation to identify which optimizations will actually change the IR. By determining the effectiveness of each optimization pass beforehand, the system avoids applying useless optimizations, thus reducing compilation time while still achieving performance improvements through selective application of effective optimizations.
Solution Approach 2:
Instead of applying all possible optimizations, the system applies only the necessary subset of optimizations that will actually change the IR. This partial action approach avoids the excessive application of redundant optimization passes, reducing compilation time and resource consumption while maintaining the essential performance benefits.
2Speed
If comprehensive compiler optimizations are applied, then executable performance is improved, but processor resource consumption increases
Solution Approach 1:
The system extracts and identifies the specific subset of optimizations that will produce actual changes in the IR by comparing input and output IR representations. This extraction process allows the compiler to eliminate redundant optimization passes, reducing processor resource consumption while maintaining the essential performance improvements from the effective optimizations.
Solution Approach 2:
The system applies only the necessary partial set of optimizations rather than all possible optimizations. By selectively applying only those optimizations that will actually change the IR, the system reduces processor resource consumption and energy usage while still achieving the required executable performance improvements.
3Manufacturing precision
If all optimization passes are applied to ensure thorough optimization, then code quality is improved, but unnecessary processing is performed
Solution Approach 1:
The system implements feedback by comparing the input IR with the output IR after each optimization pass to determine whether the optimization actually changed the code. This feedback mechanism allows the compiler to identify and eliminate redundant optimization passes, improving compilation efficiency while maintaining code quality through selective application of effective optimizations.
Solution Approach 2:
The system performs preliminary comparison of IR representations to predict which optimizations will be effective before fully applying them. This preliminary action allows the compiler to avoid unnecessary processing of redundant optimizations while ensuring that quality-improving optimizations are applied, thus balancing code quality with compilation efficiency.
Data Source
AI summary
Apparatuses, systems, and techniques to select optimizations to be performed by compilers. In at least one embodiment, a processor includes one or more circuits to perform a compiler to select one or more optimizations to one or more first versions of a program based, at least in part, on a result of performing said one or more optimizations on one or more second versions of said program.