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Parallel Processing

Parallel Processing is a computing method where multiple processors execute or process an application or computation simultaneously. It aims to increase computational speed and efficiency by dividing tasks into smaller sub-tasks that can be processed concurrently.
Related Terms
Asynchronous TestingPerformanceScalabilityDistributed Computing
What are the types of parallel processing?
Types of parallel processing include bit-level, instruction-level, data, and task parallelism, each focusing on different levels of concurrency within a computation.
What are the benefits of parallel processing?
Benefits of parallel processing include increased computational speed, efficient resource utilization, reduced processing time for large datasets, and improved performance for complex applications.
What are common challenges in parallel processing?
Common challenges include managing data dependencies, ensuring load balancing, minimizing communication overhead, and handling concurrency issues such as race conditions and deadlocks.