Concurrency - Parallel Execution

Data System Architecture


Where a sequential execution can be imagined as a single worker on an assembly line moving between tasks, a parallel process is more like a series of workers, each doing a specific task.

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Parallel does not mean always that your process will use another CPU. Two processes can run in parallel using only one CPU

Parallelism use is only going to increase because:

Parallel execution is the ability to :

  • divide a single operation through the hardware ressource
  • apply multiple CPU and I/O resources to the execution of a single operation.

There are three architectures and approaches to increase performance through paralleled work over additional hardware:

See also: Parallel Programming - (Function|Operation)


mechanism by which a task can be run in parallel may be:

  • time-sharing cooperative multitasking,
  • fibers,
  • threads,
  • processes, using different hyperthreads,
  • cores,
  • CPUs,
  • machines,
  • etc.

Documentation / Reference

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