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Advantages of parallel computing

Updated: 8/11/2023
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Save time and/or money: In theory, throwing more resources at a task will shorten its time to completion, with potential cost savings. Parallel clusters can be built from cheap, commodity components.

Provide concurrency: A single compute resource can only do one thing at a time. Multiple computing resources can be doing many things simultaneously

Use of non-local resources: Using compute resources on a wide area network, or even the internet when local compute resources are scarce.

Limits to serial computing: Both physical and practical reasons pose significant constraints to simply building ever faster serial computers:

  • Transmission speeds - the speed of a serial computer is directly dependent upon how fast data can move through hardware. Absolute limits are the speed of light (30 cm/nanosecond) and the transmission limit of copper wire (9 cm/nanosecond). Increasing speeds necessitate increasing proximity of processing elements.
  • Limits to miniaturization - processor technology is allowing an increasing number of transistors to be placed on a chip. However, even with molecular or atomic-level components, a limit will be reached on how small components can be.
  • Economic limitations - it is increasingly expensive to make a single processor faster. Using a larger number of moderately fast commodity processors to achieve the same (or better) performance is less expensive.
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Save time and/or money: In theory, throwing more resources at a task will shorten its time to completion, with potential cost savings. Parallel clusters can be built from cheap, commodity components.

Provide concurrency: A single compute resource can only do one thing at a time. Multiple computing resources can be doing many things simultaneously

Use of non-local resources: Using compute resources on a wide area network, or even the internet when local compute resources are scarce.

Limits to serial computing: Both physical and practical reasons pose significant constraints to simply building ever faster serial computers:

  • Transmission speeds - the speed of a serial computer is directly dependent upon how fast data can move through hardware. Absolute limits are the speed of light (30 cm/nanosecond) and the transmission limit of copper wire (9 cm/nanosecond). Increasing speeds necessitate increasing proximity of processing elements.
  • Limits to miniaturization - processor technology is allowing an increasing number of transistors to be placed on a chip. However, even with molecular or atomic-level components, a limit will be reached on how small components can be.
  • Economic limitations - it is increasingly expensive to make a single processor faster. Using a larger number of moderately fast commodity processors to achieve the same (or better) performance is less expensive.
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Q: Advantages of parallel computing
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What are the advantages and disadvantages of parallel computing?

One advantage to parallel computing is the ability to process information quicker. A disadvantage is maintaining the system because it is complex.


What are distributed and parallel computing?

Parallel computing and distributed computing are ways of exploiting parallelism in computing to achieve higher performance. Multiple processing elements are used to solve a problem, either to have it done faster or to have a larger size problem been solved. To state simply, if the processing elements share the memory, it is called parallel computing, other wise it is called distributed computing. Some have opinion that distributed computing is a special form of parallel computing.


What is the definition of parallel computing?

The definition of parallel computing is the processing of data many bits at a time as opposed to serial computing which is the processing of data one bit at a time.


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What is the difference between distributed and parallel computing?

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