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.^[1] It is a fundamental feature of operating systems.^[2]

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.^[3][4]

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.^[5] Parallel File System manages the single view, maintains logical space and provides access to data files.^[6]

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.^[7] The caches are larger in Parallel I/O and shared through distributed memory systems.^{[8][9][10][11]}

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.^[12]

See also

• Converged infrastructure
• Dynamic infrastructure

References

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