Fingerprint-Initiated Trace Extraction for Code Segments
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Solution Overview
Problem
Current debugging tools require analyzing entire software programs to diagnose performance issues, which is time-consuming and often impractical due to proprietary code, and state-of-the-art performance monitors struggle to pinpoint specific code sections causing problems.
Innovation Solution
Implementing a fingerprint-initiated trace extraction method within a computer processor that automatically recognizes specific code fingerprints associated with performance issues, allowing for targeted tracing and analysis of only the affected code segment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If entire software program is analyzed to diagnose performance issues, then diagnostic completeness is improved, but diagnostic time and resource consumption increase significantly
Solution Approach 1:
The patent segments the software program into multiple code sections and assigns unique fingerprints to each section. Instead of analyzing the entire program, the system divides it into manageable parts that can be independently identified and traced, allowing focused analysis on only the problematic segment.
Solution Approach 2:
The patent extracts only the necessary code section containing the performance issue from the entire software program. By using fingerprints to identify and extract the specific problematic code segment, the system avoids the time-consuming process of analyzing the complete program while maintaining diagnostic accuracy.
2Measurement precision
If proprietary code is analyzed in full to identify problem locations, then problem detection accuracy is improved, but operational complexity and resource requirements worsen
Solution Approach 1:
The patent applies preliminary action by pre-computing and storing fingerprints for each code section before execution. These fingerprints are prepared in advance and stored in a data structure, enabling rapid identification of code sections during runtime without requiring complex real-time analysis of the entire proprietary codebase.
Solution Approach 2:
The patent creates simplified representations (fingerprints) of code sections that capture essential identifying features without requiring access to or analysis of the complete proprietary source code. These fingerprint copies enable problem detection while maintaining operational simplicity.
3Measurement precision
If state-of-the-art performance monitors are used to pinpoint specific code sections, then problem localization capability is improved, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent applies local quality by assigning unique, localized fingerprints to specific code sections rather than using a monolithic monitoring approach. Each code section has its own distinctive fingerprint characteristics, enabling precise localization of performance issues without requiring complex system-wide monitoring infrastructure.
Data Source
AI summary
Techniques relate to fingerprint-initiated trace extraction. A determination is made of whether a fingerprint is present in software that is currently executing on a processor of a computer system. The fingerprint comprises a representation of a sequence of behavior that occurs in the processor while the software is executing. In response to determining that the fingerprint is not present in the software currently executing on the processor, monitoring continues for the software executing on the processor to determine whether the fingerprint is present. In response to determining that the fingerprint is present in the software executing on the processor, a trace is triggered of a code segment of the software corresponding to when the fingerprint is recognized. The trace is for a record of instructions of the code segment of the software.