This invention describes a method for updating an existing, running software program, which is structured as a "task graph," to perform a different kind of work. Instead of rebuilding the program from scratch, it takes the characteristics of the new task and applies them to the already executable program, reconfiguring it dynamically. The patent specifically focuses on achieving this modification through an application programming interface (API) call, often by comparing the structural layout of the old and new tasks.
Why it matters: Filed in 2019, this invention predates the full explosion of MLOps and the need for highly adaptive AI/ML systems. Its core idea of dynamically reconfiguring executable computational graphs to handle new workloads, especially through API calls and topology comparison, is now critical for efficient AI model adaptation and resource management in rapidly changing environments.
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