Concurrent and Parallel Programming
Concurrent and parallel programming is a paradigm in computer science focused on designing software where multiple computations or processes execute simultaneously or in overlapping time periods. Concurrency deals with the challenge of managing and structuring multiple tasks that are in progress at the same time, often to improve responsiveness or handle multiple external events, and can be implemented even on a single processor core through time-slicing. Parallelism, a specific form of concurrency, leverages multi-core processors or distributed systems to execute multiple tasks simultaneously, with the primary goal of accelerating computation by breaking a large problem into smaller pieces that are solved in parallel. Both approaches introduce complexities related to task synchronization, communication, and managing shared resources to avoid issues like race conditions and deadlocks.
- Introduction to Concurrent and Parallel Computing
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2. Fundamental Concepts