👉 Parallel Processing Computing (PPC), also known as Parallel Computing, is a computing paradigm that involves dividing computational tasks into smaller subtasks and executing them simultaneously across multiple processors or computing nodes. This approach leverages the power of parallelism to significantly accelerate complex computations, making it particularly useful for tasks that are computationally intensive or require processing large datasets. PPC can be implemented in various forms, including data parallelism, where the same operation is applied to different pieces of data concurrently, and task parallelism, where different tasks are executed in parallel. By distributing workloads across multiple processors, PPC enhances performance, reduces execution time, and improves resource utilization, making it a critical technology in fields such as scientific research, machine learning, and big data analytics.
