Original: Data parallelism (also known as loop-level parallelism) is a form of parallelization of computing across multiple processors in parallel computing environments. Data parallelism focuses on distributing the data across different parallel computing nodes.
Simplified: Data parallelism (also known as loop-level parallelism) is a form of parallel computing for multiple processors using a technique for distributing the data across different parallel processor nodes.