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Parallel computing is a type of computation where many calculations or processes are carried out simultaneously. Large problems are divided into smaller ones, which can then be solved concurrently. This approach leverages multiple processing elements to work on different parts of a problem at the same time, significantly speeding up computation.
Key Principles
Parallel computing can be classified into several forms, including bit-level, instruction-level, data, and task parallelism. Each form exploits different aspects of parallelism to enhance performance. For instance, bit-level parallelism increases the processor's word size, reducing the number of instructions needed to perform a task. Instruction-level parallelism allows multiple instructions to be executed simultaneously by reordering and grouping them. Data parallelism involves performing the same operation on multiple data points concurrently, while task parallelism divides a task into subtasks that are executed simultaneously.
Parallel computing - Wikipedia
Wikipedia text under CC-BY-SA licenseParallel Computing | Journal | ScienceDirect.com by Elsevier
Parallel Computing is an international journal that covers the practical use of parallel computer systems, including hardware, software, applications, and performance measurement. It publishes original …
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