Text-to-Graphical Code Conversion for Parallel Execution
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Solution Overview
Problem
Traditional text-based programming environments require users to possess advanced programming skills, creating a barrier for non-technical users and reducing the efficiency of computer system utilization, as they often require different skills for conceptualizing and implementing solutions, and do not provide intuitive debugging capabilities.
Innovation Solution
A method for automatically converting textual programming code into graphical code, allowing users to create and execute graphical programs without specifying nodes or connections, which can be compiled into machine code, providing a visual representation of program operation and supporting parallel execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If text-based programming environments are used, then programming functionality can be achieved, but user accessibility and ease of operation deteriorate due to requiring advanced programming skills
Solution Approach 1:
The patent introduces a graphical programming language as an intermediary between the user and the text-based programming environment. This graphical language serves as a mediator that translates user-friendly visual operations into executable text-based code, eliminating the need for users to directly master complex text-based programming syntax while still achieving full programming functionality.
Solution Approach 2:
The patent creates a visual representation (graphical program) that copies and represents the functionality of text-based code in a more intuitive format. The graphical program visually models the program structure, data flow, and control logic, allowing users to understand and manipulate programming concepts through visual analogies rather than abstract text syntax.
2Reliability
If text-based programming is used, then implementation can be achieved, but debugging capability and understanding deteriorate
Solution Approach 1:
The patent employs visual differentiation through color coding in the graphical program to indicate different types of operations, data flows, and control structures. Color changes and visual highlights are used to mark debugging points, variable values, and execution flow, making it easier to identify and understand program behavior without requiring textual analysis.
Solution Approach 2:
The patent transitions from one-dimensional text-based code to two-dimensional graphical representations. This dimensional change allows users to visually perceive program structure, data relationships, and execution flow in a spatial arrangement that provides intuitive understanding and facilitates debugging through visual inspection rather than linear text reading.
3Ease of operation
If graphical programming environments are used, then ease of operation improves, but conversion complexity increases when translating from text-based code
Solution Approach 1:
The patent performs preliminary parsing and analysis of the text-based code to extract structural information, data types, and control logic before generating the graphical program. This preliminary processing step breaks down the complex conversion task into manageable phases: syntax analysis, semantic interpretation, and graphical translation, reducing the overall conversion complexity through systematic decomposition.
Solution Approach 2:
The conversion system is designed to automatically translate text-based code into graphical programs without requiring manual intervention. The system self-services the conversion process by automatically analyzing the text code structure, identifying programming constructs, and generating corresponding graphical representations, eliminating the need for users to manually create graphical programs from text code.
4Productivity
If text-based code is used, then execution can be achieved, but parallel execution capability deteriorates
Solution Approach 1:
The patent segments the program into independent graphical nodes and operations that can be visually identified as potential parallel execution units. The graphical representation naturally divides the program into discrete functional blocks with explicit data flow dependencies, making it easier to identify segments that can execute in parallel on multiple processor cores without complex restructuring of the original text-based code.
Data Source
AI summary
Automatic conversion of textual program code to graphical program code is performed. The method automatically translates the given functionality of a textual program code into executable graphical program code, corresponding to the same functionality. The method includes a parsing routine that generates a syntax tree and code generation routines, which create graphical program code from the syntax tree.