Aggregate Execution Profile for Script Optimization
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Solution Overview
Problem
Traditional compilers like the V8 JavaScript Engine optimize only frequently executed functions, overlooking slowly executing functions that may cause performance degradation for many users, especially on mobile devices, due to their infrequent execution per user but frequent execution in aggregate.
Innovation Solution
A code analysis module aggregates individual execution profiles from multiple users to create an aggregate execution profile, emphasizing aspects of the script that can be optimized for improved performance across users, enabling enhanced script execution and compilation optimizations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traditional compilers optimize only frequently executed functions, then compilation complexity is reduced, but script execution performance deteriorates due to overlooked infrequently executed functions that cause degradation for many users
Solution Approach 1:
The patent transitions from single-user execution profiling to multi-user aggregate execution profiling, adding a dimensional perspective that captures infrequently executed functions across the user population. This aggregate profile enables the compiler to identify and optimize functions that individually execute rarely but collectively impact many users, resolving the performance degradation issue without significantly increasing compilation complexity.
2Productivity
If aggregate execution profiling is implemented across multiple users, then script execution performance is improved, but data collection and processing complexity increases
Solution Approach 1:
The patent introduces an intermediary mechanism where execution profiles are collected from multiple users and aggregated into a composite profile that is then used for optimization. This intermediary aggregate profile serves as a mediator between individual user experiences and the compilation process, enabling performance improvement across the user base while managing data complexity through structured aggregation and filtering of execution patterns.
Data Source
AI summary
Systems and methods can optimize or attempt to optimize portions of scripts that might be overlooked by traditional compilers. These systems and methods can include a code analysis module that develops an aggregate execution profile for a script by aggregating individual execution profiles of a plurality of users. These systems and methods can use the aggregate execution profile to emphasize aspects of the script that can be optimized for a plurality of users, enabling improved script performance for users.