Parallel Computing Questions Long
Parallel processing refers to the concept of dividing a task or problem into smaller subtasks that can be executed simultaneously or in parallel. It involves the use of multiple processing units or cores to perform these subtasks concurrently, thereby increasing the overall processing speed and efficiency.
On the other hand, parallel computing is a broader term that encompasses the entire field of utilizing parallel processing techniques to solve computational problems. It involves the design, implementation, and utilization of parallel algorithms, architectures, and systems to achieve efficient and faster computation.
While parallel processing focuses on the execution of multiple tasks simultaneously, parallel computing encompasses the entire process of problem decomposition, task allocation, data distribution, synchronization, and communication among the processing units. It involves not only the hardware aspects such as parallel architectures and processors but also the software aspects such as parallel algorithms, programming models, and tools.
Parallel processing can be seen as a technique or approach used within the broader context of parallel computing. It is a means to achieve parallelism and exploit the potential of parallel architectures and systems. Parallel computing, on the other hand, deals with the overall design and implementation of parallel systems and algorithms to solve complex computational problems efficiently.
In summary, parallel processing refers to the execution of multiple tasks simultaneously, while parallel computing encompasses the entire field of utilizing parallel processing techniques to solve computational problems efficiently.