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Data Parallel – Parallel Programming in C#/.NET
Data parallelism distributes compute-bound work across cores. Prime-counting examples compare PLINQ, Parallel.For, thread-local state, partitioning, and measured timings.

Topic
Dividing computational work so multiple processors or cores execute it at the same time, with attention to partitioning, scheduling, synchronization, and overhead.
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Writing
Data parallelism distributes compute-bound work across cores. Prime-counting examples compare PLINQ, Parallel.For, thread-local state, partitioning, and measured timings.