Binary Data Transformation Routines for Dynamic Translation
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Solution Overview
Problem
Existing binary data transformation systems face performance losses due to complex bit filling processes, which are error-prone and difficult to maintain, especially when translating data between different formats, and often require platform-specific knowledge and restrict compiler optimizations.
Innovation Solution
A method and apparatus for creating data transformation routines that generate source and target models, mappings, and transformation routines to efficiently translate data between formats, accounting for differences in endianness and optimizing bit positions, using template-based dynamic binary translation to minimize overhead and improve performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional bit filling methods are used to transform binary data between formats, then data transformation can be achieved, but translation overhead increases and performance decreases
Solution Approach 1:
The system performs preliminary analysis of source and target data formats to generate optimized transformation routines before actual data translation occurs. This includes analyzing bit positions, endianness differences, and data layouts to pre-compute efficient transformation sequences, thereby reducing runtime overhead.
Solution Approach 2:
The invention dynamically changes transformation parameters based on the specific source and target formats being converted. By adapting the transformation routine to the actual data characteristics (such as bit width, endianness, and alignment requirements), the system achieves optimal performance for each translation scenario rather than using fixed, inefficient bit filling operations.
2Adaptability or versatility
If complex bit filling processes are implemented to handle format transformations, then data can be transformed between different formats, but the system becomes error-prone and difficult to maintain
Solution Approach 1:
The transformation system performs self-analysis by automatically examining source and target data formats and generating appropriate transformation routines without requiring manual intervention. This self-service capability includes automatic detection of format differences, generation of mapping rules, and creation of optimized transformation code, thereby eliminating the complexity and errors associated with manual bit filling implementation.
Solution Approach 2:
The invention introduces an intermediate format analysis layer that acts as a mediator between source and target formats. This intermediary component analyzes both formats, determines the necessary transformations, and generates appropriate routines, thereby simplifying the overall system architecture and improving maintainability by centralizing the complex transformation logic in a manageable intermediate layer.
3Adaptability or versatility
If manual bit filling operations are used to copy bits between source and target positions, then data transformation can be performed, but performance is significantly reduced when bits need to be split and copied to multiple locations
Solution Approach 1:
The system segments the bit manipulation process into distinct analysis and execution phases. During the analysis phase, it identifies all bit positions that need to be moved and groups them by target location. During execution, it performs bulk operations for each group rather than individual bit copies, thereby maintaining adaptability for complex transformations while significantly improving efficiency through reduced operation overhead.
Solution Approach 2:
The invention merges multiple individual bit copy operations into consolidated transformation routines. By analyzing the transformation requirements and combining operations that can be performed together (such as copying multiple bits to the same target position or performing endianness conversions), the system reduces the total number of operations and improves transformation efficiency while maintaining full bit manipulation capability.
Data Source
AI summary
A method and apparatus is disclosed for creating data transformation routines for transforming data from a source format to a target format. The routines can be used in conjunction with dynamic binary translators, which enable binaries of a source platform to execute on a target platform without recompilation. This is achieved by runtime (on-the-fly) translation of source machine instructions into equivalent target machine instructions. Typically dynamic binary translators are used for migrating from an older platform to a newer one, implementing complex instruction set architectures, speeding up simulators and in profiling tools. The transformation routines are also used for translating data in databases from one format to another, for example, where the data format has been modified in an upgraded system. In all these applications, the speed and accuracy of translation need to be kept low to ensure that the overhead incurred does not outweigh the advantages of translation.