👉 Thread computing is a parallel computing paradigm where multiple threads, each with its own context and execution environment, run concurrently within a single process or thread pool. This approach allows for efficient utilization of multi-core processors by dividing tasks among threads, each capable of executing independently yet sharing the same memory space and resources. Unlike traditional multi-threading, which often involves context switching between separate threads, thread computing minimizes overhead by allowing threads to share data and synchronize operations, leading to improved performance and scalability in parallel applications. This model is particularly beneficial for tasks that can be decomposed into smaller, independent subtasks that can be executed simultaneously, enhancing throughput and reducing latency in computationally intensive applications.
