Modular Optimization Pipeline for Code Execution Speed
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Solution Overview
Problem
Conventional compilers are not optimally structured for computing performance, as source code optimized for human comprehension often requires transformation into lower-level code to improve execution speed, reduce size, and minimize power consumption, but existing optimization methods are inflexible and tied to specific compilation processes.
Innovation Solution
The development of modular, pluggable optimization modules that can run in various orders, allowing for flexible optimization of source code, intermediate representation, or object code, independent of translation, enabling rearrangement and customization of optimization pipelines to achieve specific goals like minimizing bytecode size, execution speed, and memory usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If conventional compilers translate source code to machine code, then code execution speed is improved, but the optimization process becomes inflexible and tied to specific compilation processes
Solution Approach 1:
The patent segments the optimization process into independent, modular optimization modules that can be applied separately at different stages (source code level, intermediate representation level, or object code level). Each module performs a specific optimization function and can be independently selected, configured, and executed, allowing flexible adaptation without being bound to a fixed compilation pipeline.
Solution Approach 2:
The system implements dynamic optimization by allowing the optimization pipeline to be configured and adjusted at runtime. Users can select which optimization modules to apply, in what order, and at which code representation level, making the optimization process adaptable to different requirements rather than following a static compilation sequence.
2Ease of operation
If source code is structured for human comprehension, then code maintainability is improved, but computing performance deteriorates
Solution Approach 1:
The system performs preliminary optimization actions by applying optimization modules to source code before compilation, to intermediate representation after initial compilation but before final code generation, or to object code after full compilation. This allows high-level code to remain human-readable while optimizations are progressively applied at appropriate stages without forcing a choice between readability and performance.
Solution Approach 2:
The patent introduces an intermediate representation (IR) as a mediator between human-readable source code and machine code. Optimizations can be applied to the IR form, which preserves the structured nature of the original code for maintainability while enabling performance improvements through transformation. The IR serves as an intermediary that allows optimization without sacrificing code readability.
3Ease of manufacture
If optimization modules are fixed in a compilation process, then implementation simplicity is improved, but the ability to customize optimization pipelines deteriorates
Solution Approach 1:
The optimization modules are designed with universal interfaces and standardized functionality that allows them to be used across different compilation stages and configurations. Each module implements a common optimization interface while providing specific optimization capabilities, enabling them to function universally in various pipeline arrangements without requiring custom implementation for each scenario.
Data Source
AI summary
Disclosed are ways to flexibly arrange, rearrange, and execute optimization modules for program code in user-customizable sequences. In various embodiments, computer programmers can select an order of multiple standalone optimizers that each perform an optimization function on program code, forming a pipeline of a series of optimization modules. The pipeline can be modified by, for example, adding, removing, rearranging, repeating, and/or replacing optimization modules.