Salesforce, inc. (20240184550). DYNAMICALLY APPLYING PROFILE-GUIDED OPTIMIZATION TO A DBMS simplified abstract
Contents
DYNAMICALLY APPLYING PROFILE-GUIDED OPTIMIZATION TO A DBMS
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DYNAMICALLY APPLYING PROFILE-GUIDED OPTIMIZATION TO A DBMS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240184550 titled 'DYNAMICALLY APPLYING PROFILE-GUIDED OPTIMIZATION TO A DBMS
Simplified Explanation
Simplified Explanation: An application server identifies a set of functions in the source code of an uninterrupted software service, including functions with high computational expense. It then compiles a subset of these functions into a shared library, performs instrumentation to optimize the shared library, and updates the source code to point to the optimized library.
- **Key Features and Innovation:**
- Identification of high computational expense functions in source code - Compilation of a subset of functions into a shared library - Instrumentation to optimize the shared library - Updating source code to use the optimized library
Potential Applications: This technology could be applied in various software development scenarios where optimizing computational performance is crucial, such as in real-time systems, high-performance computing, and large-scale data processing applications.
Problems Solved: - Addressing computational inefficiencies in software services - Improving overall performance and efficiency of software applications - Streamlining the compilation and optimization process for high-complexity functions
Benefits: - Enhanced computational performance of software services - Reduction in computational overhead and resource utilization - Simplified development and maintenance of high-performance software applications
Commercial Applications: Optimizing software services for industries such as finance, healthcare, e-commerce, and telecommunications to improve speed, efficiency, and reliability in critical applications.
Prior Art: No prior art information available at this time.
Frequently Updated Research: No frequently updated research relevant to this technology at the moment.
Questions about the Technology Question 1: How does the application server identify functions with high computational expense in the source code? Answer: The application server uses predefined criteria or algorithms to analyze the complexity and resource usage of functions in the source code, flagging those that exceed a certain threshold.
Question 2: What are the potential challenges in implementing the optimization process for shared libraries in a production environment? Answer: Some challenges may include ensuring compatibility with existing code, managing dependencies, and verifying the performance improvements without introducing new bugs or issues.
Original Abstract Submitted
an application server may identify a set of functions for the source code associated with an uninterruptable software service. in some examples, the subset of the set of functions may include one or more functions having a computational expense greater than a threshold. the application server may create a compilation template to compile a subset of the set of functions to a shared library, and may perform an instrumentation to identify the subset of the set of functions based on the shared library. the application server may create an optimized version of the shared library based on performing the instrumentation. the application server may then change one or more portions of the source code to repoint to the optimized version of the shared library based on creating the optimized version of the shared library.
