Parallel Source Code Compilation via Segmentation
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Solution Overview
Problem
Conventional operating system installation and source code compilation processes are sequential, leading to high dependency and failure risks, resulting in inefficient use of time and processor cycles, with installation times taking around 25 minutes for a typical operating system.
Innovation Solution
Decoupling sequential installation of components by using a disk image container and definition to allow parallel installation of independent components, and employing a compiler that divides source code into sections for parallel compilation and execution, eliminating external dependencies and enabling faster transitions between states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If sequential installation of components is used, then dependency management is simplified, but installation time is excessive (25 minutes)
Solution Approach 1:
The patent divides the operating system into multiple independent components that can be installed in parallel. Each component is packaged as a separate unit with its own installation logic, allowing the installation process to be segmented into independent tasks that can execute simultaneously rather than sequentially, thereby reducing total installation time from 25 minutes to approximately 5 minutes.
Solution Approach 2:
The patent performs preliminary actions by pre-packaging components with their dependency information and installation metadata before the actual installation process. This allows the installation system to pre-plan the installation sequence and parallel execution strategy, eliminating the need for sequential dependency resolution during installation and enabling faster component deployment.
2Productivity
If sequential compilation process is used, then compilation accuracy is maintained, but compilation time is significantly delayed
Solution Approach 1:
The patent segments the source code into multiple independent compilation units or modules that can be compiled in parallel. Each module is compiled independently with its own compilation context, allowing the compiler to process multiple sections simultaneously rather than sequentially, thereby significantly reducing total compilation time while maintaining code correctness through proper dependency tracking.
Solution Approach 2:
The patent introduces dynamic compilation scheduling that adapts the compilation process based on dependency analysis. The system dynamically determines which modules can be compiled in parallel and which must wait for dependencies, optimizing the compilation pipeline to maximize parallel execution while ensuring correct compilation order, thus improving productivity without sacrificing accuracy.
3Reliability
If sequential installation with dependencies is used, then installation correctness is ensured, but failure propagation causes entire process to fail
Solution Approach 1:
The patent segments the installation process into independent component units, each with isolated installation logic and error handling. This segmentation prevents failure propagation across the entire installation process - if one component fails to install, other independent components can continue installing successfully, improving overall installation reliability and efficiency by allowing partial success rather than complete failure.
Solution Approach 2:
The patent introduces an intermediary installation management system that coordinates component installation while providing isolation and error containment. This intermediary layer manages dependencies and failure states, allowing individual component failures to be handled independently without cascading to other components, thus maintaining high installation reliability while enabling parallel execution for improved productivity.
4Productivity
If parallel installation of components is used, then installation time is reduced, but dependency management becomes complex
Solution Approach 1:
The patent performs preliminary dependency analysis and installation planning before the actual parallel installation begins. The system pre-processes component dependency information to generate an optimized installation schedule that identifies which components can be installed in parallel and which must follow specific sequences. This preliminary action eliminates complex runtime dependency management while enabling efficient parallel execution.
Solution Approach 2:
The patent replaces the mechanical sequential dependency management system with a data-driven parallel execution model. Instead of using complex mechanical coordination to manage dependencies, the system uses data structures to represent dependencies and algorithms to determine parallel execution opportunities, substituting complex mechanical control with simpler computational logic that enables high-throughput parallel installation.
Data Source
AI summary
Techniques for an ultra-fact software compilation of source code are provided. A compiler receives software code and may divide it into code sections. A map of ordered nodes may be generated, such that each node in the map may include a code section and the order of the nodes indicates an execution order of the software code. Each code section may be compiled into an executable object in parallel and independently from other code sections. A binary executable may be generated by linking executable objects generated from the code sections. The methodology significantly differs from existing source code compilation techniques because conventional compilers build executable sequentially, whereas the embodiments divide the source code into multiple smaller code sections and compile them individually and in parallel. Compiling multiple code sections improves the compilations in order of magnitude from conventional techniques.