Source Code Profiling for Line-Level Latency and Energy Estimation
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Solution Overview
Problem
Existing tools for analyzing source code are inaccurate and inefficient in identifying latency and energy bottlenecks, making it challenging to optimize applications for real-time data analytics in enterprise systems.
Innovation Solution
A computer-executable tool that enables line-level instrumentation of source code to measure latency and energy consumption by annotating specific lines, using a profiling library and models to provide metrics, and modifying the code to improve performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing source code analysis tools are used, then analysis can be performed, but accuracy in identifying latency and energy bottlenecks is poor
Solution Approach 1:
The patent segments source code into individual lines and creates separate profile records for each line, enabling line-level granularity in latency and energy consumption measurement. This segmentation allows precise identification of specific bottleneck lines rather than analyzing code at a coarse function or file level.
Solution Approach 2:
The patent applies different profiling treatments to different lines of code based on their characteristics. Each line receives customized profiling instructions embedded in the intermediate representation, allowing localized measurement of latency and energy metrics for each specific line rather than uniform analysis across the entire codebase.
2Measurement precision
If line-level profiling instrumentation is added to source code, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent introduces an intermediate representation (IR) layer as a mediator between source code and executable code. Profiling instructions are embedded in this IR layer, which acts as an intermediary that adds measurement capability without directly modifying the source code structure or requiring changes to the execution engine.
Solution Approach 2:
The patent creates a universal profiling framework that handles multiple types of measurements (latency, energy consumption) through a common intermediate representation structure. The same IR-based approach is used for both latency profiling and energy profiling, reducing overall system complexity through code reuse and unified handling.
3Productivity
If existing profiling approaches are used, then overall application performance can be measured, but line-level optimization capability is insufficient
Solution Approach 1:
The patent segments performance metrics to the line level by creating individual profile records for each source code line. Each record contains line-specific latency and energy consumption data, enabling identification of exact bottleneck lines and facilitating targeted optimizations rather than broad application-level tuning.
Solution Approach 2:
The patent applies localized profiling measurements to individual lines of code, capturing line-specific latency and energy metrics. This local quality approach allows developers to identify and optimize specific problematic lines while leaving well-performing lines unchanged, improving overall productivity through focused optimization efforts.
Data Source
AI summary
Implementations of the present disclosure include methods, systems, and computer-readable storage mediums for receiving source code of an application, providing intermediate code based on the source code, the intermediate code including at least one instruction for profiling at least one line of the source code, providing profiling data by processing the intermediate code, processing the profiling data based on one or more of a latency model and an energy model to respectively provide at least one latency metric and at least one energy metric of the at least one line, and storing modified source code that is provided based on a modification of the at least one line of source code.