Data parallelism is a specific type of parallelism that distributes data across different processors to be operated on. The same operations are performed on each datum and run synchronously by a single execution thread. This is in contrast to the more familiar task parallelism where different operations may be performed on the same or distinct data asynchronously.
Data parallelism is a specific type of parallelism that distributes data across different processors to be operated on. The same operations are performed on each datum and run synchronously by a single execution thread. This is in contrast to the more familiar task parallelism where different operations may be performed on the same or distinct data asynchronously.