Final answer:
Nondeterminism is a natural part of concurrency in computer science, where multiple tasks or processes run simultaneously. Parallelism, on the other hand, focuses on executing tasks simultaneously but in a more deterministic manner. Nondeterminism is more closely associated with concurrency due to the unpredictable nature of event ordering and timing.
Step-by-step explanation:
Nondeterminism is a natural part of concurrency in computer science. In concurrent programming, multiple tasks or processes run simultaneously and can access shared resources. Nondeterminism refers to the lack of predictability in the order or timing of events in concurrent systems, which can lead to different outcomes each time the program is run.
On the other hand, parallelism is the simultaneous execution of multiple tasks or processes on separate processing units, such as multiple CPU cores. Parallelism aims to increase overall computation speed by distributing work across multiple resources. While parallelism can introduce some concurrency, it is not inherently nondeterministic, as the order and timing of events can still be controlled to achieve consistent results.
Therefore, while both concurrency and parallelism involve simultaneous execution, nondeterminism is more closely associated with concurrency due to the unpredictable nature of event ordering and timing.