Compiler Register Allocation Using Performance Metrics
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Solution Overview
Problem
Existing methods for modifying instructions to move data in and out of memory do not effectively consider performance costs, leading to suboptimal execution in parallel computing platforms.
Innovation Solution
A compiler analyzes potential transformations to optimize register assignment and allocation, estimating performance costs and selecting transformations to implement during compilation, thereby reducing register pressure and improving program performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If instructions are modified to move data in and out of memory, then data transfer capability is improved, but performance costs increase
Solution Approach 1:
The compiler performs preliminary analysis of potential transformations and estimates their performance costs before actual compilation. By predicting which transformations will incur high performance costs, the system can avoid unnecessary data movements and prepare optimal instruction sequences in advance, thereby improving data transfer capability while minimizing performance penalties.
Solution Approach 2:
The system incorporates feedback mechanisms where performance cost estimates from previous transformations inform subsequent compilation decisions. The compiler uses measured or estimated performance metrics to adjust transformation strategies, avoiding modifications that would increase performance costs while maintaining improved data transfer capability through beneficial transformations.
2Productivity
If transformations are applied to optimize register assignment, then program performance is improved, but device complexity increases
Solution Approach 1:
The compilation process is segmented into distinct phases: analyzing potential transformations, estimating performance costs, selecting optimal transformations, and applying them during compilation. This segmentation allows the compiler to manage complexity by handling one aspect of optimization at a time while still achieving overall program performance improvement.
Solution Approach 2:
The system introduces an intermediary estimation mechanism that evaluates potential transformations before applying them. This intermediary layer acts as a mediator between the source code and the compiled code, providing performance cost predictions that guide transformation selection without requiring complex real-time analysis during compilation, thus improving program performance while controlling compiler complexity.
3Speed
If register pressure is reduced through transformations, then execution speed is improved, but loss of information increases
Solution Approach 1:
The compiler performs preliminary analysis to identify transformations that will effectively reduce register pressure before applying them. By predicting which transformations will achieve the desired register reduction, the system can plan the transformation sequence in advance, ensuring that execution speed is improved while maintaining necessary information through careful selection of transformations that preserve data integrity.
Data Source
AI summary
Apparatuses, systems, and techniques to allocate and/or assign registers. In at least one embodiment, registers are allocated based, at least in part, on a set of estimated performance metrics associated with transformations generated prior to a register allocation phase of compilation.