This invention aims to make computer programs run faster by arranging their internal instructions more efficiently in memory. It works by observing how a program uses its different parts over time, creating a map of how these parts call each other. Then, it groups frequently used or related parts together and tells the program's builder to place them close to each other, reducing delays when the computer needs to access them. The patent specifically focuses on optimizing server programs that respond to internet requests, prioritizing functions based on how much processing they perform.
Why it matters: The need for efficient server-based applications has intensified with cloud computing and microservices since 2017. Advances in dynamic analysis and graph-based machine learning could now make building and clustering call graphs more effective for complex server workloads.
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