👉 PSP (Parallel Scalable Processing) computing is an advanced computational paradigm designed to efficiently handle large-scale, complex problems by leveraging parallelism and scalability. It involves distributing computational tasks across multiple processors or nodes in a network, enabling simultaneous processing of data and computations. This approach optimizes resource utilization, reduces execution time, and enhances performance by breaking down problems into smaller, manageable sub-tasks that can be processed concurrently. PSP computing is particularly effective for applications requiring high throughput, such as big data analytics, machine learning, and scientific simulations, where traditional sequential processing methods would be inadequate due to their limited scalability and efficiency.
