Compiler Runtime Struct Field Size Reduction
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Solution Overview
Problem
Existing compiler techniques fail to effectively reduce the size of struct fields at runtime, especially when values assigned to these fields are unknown at compile time, leading to inefficient memory usage and performance issues in memory-bound applications.
Innovation Solution
A compiler system that performs runtime analysis to determine the minimum and maximum values of struct fields, reduces their size if feasible, and creates clone functions with reduced field sizes, ensuring compatibility and performance improvements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If compile-time and static analysis methods are used to determine struct field sizes, then the compilation process is simple and fast, but the field size optimization is ineffective when values are unknown at compile time
Solution Approach 1:
The compiler performs preliminary runtime analysis by inserting instrumentation code during compilation to collect actual runtime values of struct fields. This preliminary action enables the compiler to determine precise field size requirements based on actual execution data, rather than relying solely on compile-time static analysis or conservative estimates.
Solution Approach 2:
The patent introduces an intermediary runtime analysis phase that bridges compile-time static analysis and actual program execution. This intermediary mechanism collects runtime values and feeds them back to determine optimal field sizes, effectively mediating between the limitations of static analysis and the variability of runtime behavior.
2Quantity of substance
If runtime analysis is performed to determine precise field sizes, then memory footprint is reduced, but the compilation process becomes more complex and time-consuming
Solution Approach 1:
The compilation process is segmented into distinct phases: initial compilation with instrumentation insertion, runtime execution for data collection, and subsequent compilation passes for optimization. This segmentation allows the system to distribute the computational workload and enables field size optimization without requiring the entire compilation to be significantly slower.
Solution Approach 2:
The compiler applies partial optimization by performing runtime analysis only on struct fields that are candidates for size reduction, rather than analyzing all fields uniformly. This selective approach reduces the overhead of runtime analysis and compilation time while still achieving memory footprint reduction for the most beneficial fields.
3Quantity of substance
If field sizes are reduced based on runtime analysis, then memory efficiency improves, but compatibility and correctness must be maintained across different execution scenarios
Solution Approach 1:
The compiler dynamically changes the parameter of field size based on runtime analysis results. By adjusting field size parameters according to actual runtime values rather than fixed compile-time assumptions, the system achieves better memory efficiency while maintaining correctness through evidence-based optimization.
Solution Approach 2:
The system implements a feedback mechanism where runtime execution data is collected and fed back to the compilation process. This feedback loop enables the compiler to verify that field size reductions maintain code correctness by comparing optimized behavior against original execution, ensuring reliability is preserved.
Data Source
AI summary
An embodiment of a semiconductor package apparatus may include technology to identify a field of a data structure as a candidate for a size reduction, perform a runtime analysis on the field, and reduce the size of the field based on the runtime analysis. Other embodiments are disclosed and claimed.