What are some real-world examples of data parallelism?
Data parallelism is used in various fields. For instance, in image processing, multiple images can be processed simultaneously.
Can you give me more examples in machine learning?
Sure! In machine learning, training models on large datasets can be parallelized across multiple GPUs to speed up the process.
What about in scientific computing?
In scientific computing, simulations of physical systems often use data parallelism to run calculations on different parts of the system at the same time.
Are there any examples in big data analytics?
Yes! Big data frameworks like Apache Spark utilize data parallelism to process large datasets across clusters of computers efficiently.
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