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This section has multiple issues. Unsourced material may be challenged and removed. Statements consisting only of original research should be removed. Structuring software systems as composed of multiple concurrent, communicating parts can be useful for tackling complexity, regardless of whether the parts can be executed in parallel. In this way, multiple processes are part-way through execution at a single instant, but only one process is being executed at that instant.
In general, however, the languages, tools, and techniques for parallel programming might not be suitable for concurrent programming, and vice versa. However, since both processes perform their withdrawals, the total amount withdrawn will end up being more than the original balance. Increased program throughput—parallel execution of a concurrent program allows the number of tasks completed in a given time to increase. Concurrent programming allows the time that would be spent waiting to be used for another task. More appropriate program structure—some problems and problem domains are well-suited to representation as concurrent tasks or processes. There are several models of concurrent computing, which can be used to understand and analyze concurrent systems.