Call Stack Inference via Minimal Fingerprint Profiling
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Solution Overview
Problem
Capturing a call stack in CPU architectures like ARM is time-consuming, impacting program behavior and reducing sample frequency, necessitating an efficient method to infer call stacks from minimal data.
Innovation Solution
Infer call stacks using a database of previously captured call stacks and minimal fingerprint identifiers such as stack depth size, CPU core, and thread ID, allowing for the recording of these identifiers during profiling to reconstruct the corresponding call stack.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If call stack is captured directly during profiling, then complete call stack information is obtained, but profiling time increases and sample frequency decreases
Solution Approach 1:
The patent extracts only the essential fingerprint identifiers (stack depth size, CPU core, thread ID) from the complete call stack data, storing these minimal characteristics instead of the full call stack. This extraction principle resolves the contradiction by capturing enough information to identify call stacks (70-95% accuracy) while dramatically reducing the data burden and enabling higher sampling frequencies.
Solution Approach 2:
The patent creates a database of previously captured call stacks with their fingerprint identifiers, then uses this database to match and infer call stacks during profiling. Instead of capturing complete call stacks in real-time, the system copies and compares fingerprint patterns from the database, achieving high accuracy inference without the overhead of full call stack capture.
2Measurement precision
If call stack is captured directly during profiling, then accurate program behavior analysis is achieved, but program behavior is adversely affected
Solution Approach 1:
The patent removes the intrusive element of full call stack capture and retains only the essential fingerprint identifiers. This extraction maintains measurement precision for program behavior analysis while minimizing interference with program execution, thus preserving program behavior integrity.
Solution Approach 2:
The patent applies partial action by capturing only the necessary fingerprint information (stack depth, CPU core, thread ID) rather than the complete call stack. This partial capture is sufficient to achieve 70-95% call stack inference accuracy while avoiding the adverse effects of full call stack capture on program behavior.
3Quantity of substance
If minimal fingerprint data is recorded instead of complete call stack, then data size is reduced and sampling capacity increases, but call stack inference accuracy decreases
Solution Approach 1:
The patent changes the parameters being recorded from complete call stack information to specific fingerprint parameters (stack depth size, CPU core, thread ID). This parameter transformation reduces data volume significantly while maintaining sufficient information for 70-95% call stack inference accuracy through database matching.
Data Source
AI summary
Methods and systems for inferring call stacks in a program, such as a video game or simulation program, are described herein. The call stack data can be inferred using a database of previously captured call stacks along with a minimal set of identifiers that fingerprint each call stack. If just the minimal fingerprint can be captured during a subsequent profile, then the corresponding call stack can be inferred.


