What is concurrency and how does it impact performance in programming?
Concurrency refers to the ability of a system to handle multiple tasks simultaneously. It can improve performance by allowing better resource utilization, but it can also introduce complexity and potential bottlenecks.
Can you explain how concurrency differs from parallelism?
Sure! Concurrency is about dealing with multiple tasks at once, while parallelism is about executing multiple tasks simultaneously. Concurrency can occur on a single core, while parallelism requires multiple cores.
What are some common issues that arise with concurrency?
Common issues include race conditions, deadlocks, and resource contention. These can lead to unpredictable behavior and performance degradation if not managed properly.
How can I improve performance in a concurrent system?
You can improve performance by optimizing algorithms, using efficient data structures, minimizing lock contention, and employing techniques like thread pooling.
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