parallel data processing
nounUK /ˈpærəlɛl ˈdeɪtə ˈprəʊsɛsɪŋ/
US /ˈpærəlɛl ˈdeɪtə ˈprɑːsɛsɪŋ/
A way of doing many pieces of a big job at the same time so it finishes faster.
The video game uses parallel data processing to load the whole world quickly.
OTHER MEANINGS
2. A computing method where many processors work on different parts of the same dataset at once.
The weather team relies on parallel data processing to run thousands of simulations overnight.
3. In data engineering, splitting a large batch of records across machines so each machine handles its own chunk.
Their new pipeline uses parallel data processing to clean millions of rows in minutes.
4. A technique in machine learning where training examples are spread across many devices to speed up learning.
Parallel data processing let the researchers train the model on eight GPUs at the same time.