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Parallel I/O

Parallel I/O is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Parallel I/O rather than just read about it. In short: Parallel I/O, in the context of a computer, means the performance of multiple input/output operations at the same time, for instance simultaneously outputs to storage devices and display devices. It is a fundamental feature of operating systems.

Key takeaways

  • Parallel I/O belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Parallel I/O to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Parallel I/O from memory before moving on to harder problems.

Reference excerpt

Parallel I/O, in the context of a computer, means the performance of multiple input/output operations at the same time, for instance simultaneously outputs to storage devices and display devices. It is a fundamental feature of operating systems. One particular instance is parallel writing of data to disk; when file data is spread across multiple disks, for example in a RAID array, one can store multiple parts of the data at the same time, thereby achieving higher write speeds than with a single device. Other ways of parallel access to data include: Parallel Virtual File System, Lustre, GFS etc.

Features

Scientific computing It is used for scientific computing and not for databases. It breaks up support into multiple layers including High level I/O library, Middleware layer and Parallel file system. Parallel File System manages the single view, maintains logical space and provides access to data files.

Storage A single file may be stripped across one or more object storage target, which increases the bandwidth while accessing the file and available disk space. The caches are larger in Parallel I/O and shared through distributed memory systems.

Breakthroughs Companies have been running Parallel I/O on their servers to achieve results with regard to price and performance. Parallel processing is especially critical for scientific calculations where applications are not only CPU but also are I/O bound.

See also Converged infrastructure Dynamic infrastructure

References

Worked examples

Example 1 — a first encounter with Parallel I/O

Start with the simplest possible case. Write down what Parallel I/O claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Parallel I/O before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Parallel I/O ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Parallel I/O

In research
Parallel I/O appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Parallel I/O in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Parallel I/O is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computing stubs, Concurrency (computer science), Input/output, so understanding it makes those chapters shorter.
In everyday life
Look for Parallel I/O outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Parallel I/O in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Parallel I/O means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Parallel I/O out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Parallel I/O in simple terms?

Parallel I/O, in the context of a computer, means the performance of multiple input/output operations at the same time, for instance simultaneously outputs to storage devices and display devices. It is a fundamental feature of operating systems.

Why does Parallel I/O matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Parallel I/O?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Parallel I/O.

Tags

  • Computing stubs
  • Concurrency (computer science)
  • Input/output

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