Optimizing Script Code IR by Removing Redundant Reference Count Operations
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Solution Overview
Problem
Conventional intermediate representations (IR) for script code do not provide an efficient means to track object references, leading to redundant reference count operations that consume significant computing resources.
Innovation Solution
Optimizing the IR by identifying and removing redundant reference count operations, specifically incref-decref code pairs that do not decrement the reference count to zero, to generate an optimized IR that consumes fewer computing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional IR includes reference count operations for tracking object references, then memory management correctness is ensured, but execution efficiency deteriorates due to redundant operations consuming significant computing resources
Solution Approach 1:
The patent extracts and removes redundant reference count operations (decref operations that do not decrement to zero) from the intermediate representation. By identifying and eliminating these unnecessary operations while preserving the essential memory management functionality, the system maintains correctness without the performance penalty of redundant executions.
Solution Approach 2:
The patent changes the parameter of reference count operations by analyzing their actual effect on the reference count value. By determining whether a decref operation actually decrements the count to zero or not, the system selectively removes operations that have no practical effect, thereby optimizing execution efficiency while maintaining memory management reliability.
2Measurement precision
If IR includes all reference count operations to track object references, then reference tracking accuracy is maintained, but code complexity increases due to significant amount of tracking code
Solution Approach 1:
The patent extracts redundant reference count operations from the intermediate representation by analyzing which operations actually affect the reference count state. By removing decref operations that do not decrement to zero, the system reduces code complexity while preserving reference tracking accuracy for operations that matter.
Solution Approach 2:
Instead of including all reference count operations and filtering out redundancies during execution, the patent inverts the approach by statically analyzing and removing redundant operations beforehand. This inversion from runtime filtering to compile-time elimination reduces code complexity while maintaining tracking accuracy.
Data Source
AI summary
Disclosed here are methods, systems, paradigms and structures for optimizing generation of intermediate representation (IR) for a script code by eliminating redundant object reference count operations from the IR. An IR of the script includes (a) a set of first code that increments a reference count of an object when a programming construct refers to the object, and (b) an associated set of second code which decrements the reference count of the object when a reference to the object is removed. The IR is analyzed to identify a subset of the set of second code which, upon execution, does not decrement the reference count of the object to a zero value. The subset of second code and the first code corresponding to the subset is removed from the IR to generate an optimized IR. The optimized IR is further converted to an executable code.