Control Program Generation Using Matrix Annotation for Speed and Memory

The invention applies preliminary action by storing annotation information about matrix structures in advance in a database before code generation. This pre-stored information includes details about triangular, diagonal, sparse, and other special matrix structures, which are then automatically utilized during the control program generation process to optimize computing speed and reduce memory requirements without increasing program complexity.

The invention changes parameters by transforming the representation of matrix operations from generic forms to optimized forms based on stored annotation information. When the code generator encounters a matrix operation, it queries the database for specific structural parameters (e.g., whether a matrix is triangular, diagonal, or sparse) and generates optimized code accordingly, thereby improving computing speed while managing complexity.

The invention applies preliminary action by pre-storing annotation information about matrix structures in a database before code generation. This information includes characteristics of special matrix structures (triangular, diagonal, sparse, etc.), which are automatically retrieved and applied during code generation to minimize memory requirements while avoiding increased program complexity.

The invention changes parameters by using stored annotation information to transform generic matrix operation representations into optimized representations. By querying the database for specific structural parameters and generating code that exploits these structures (e.g., storing only non-zero elements of sparse matrices), the invention reduces memory requirements while maintaining manageable program complexity.

The invention uses an intermediary approach by introducing a database as a mediator between the graphical control model and the code generation process. The database stores annotation information about matrix structures and provides this information to the code generator, which then produces optimized code. This intermediary layer improves resource efficiency while keeping the added system complexity manageable and isolated.

The invention applies self-service by enabling the code generator to automatically query and utilize annotation information from the database without requiring manual intervention. The system self-optimizes by automatically identifying special matrix structures and generating appropriate optimized code, thereby improving productivity while minimizing the complexity burden through automation.