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Analyze the sample code to identify which parts of the code can be executed concurrently. This can be identified by looking for sections of the code that do not depend on the output of other sections.
Create a list of tasks for each section of the code that can be executed concurrently.
Choose a concurrency model that is suitable for the sample code. This can be multi-threading, multi-processing, or asynchronous programming.
Use the concurrency model to execute the tasks simultaneously.
Ensure that the shared resources in the code are protected using synchronization techniques such as locking or semaphores to prevent data races.
Test the concurrent execution of the sample code to ensure that it produces the correct results.