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 . 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 .