# parallel-chunks

**Repository Path**: mirrors_google/parallel-chunks

## Basic Information

- **Project Name**: parallel-chunks
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-19
- **Last Updated**: 2026-02-14

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

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SPDX-FileCopyrightText: 2020 Google LLC

SPDX-License-Identifier: Apache-2.0
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Parallel chunks

This is not an officially supported Google product.

Contains working useful code examples in multiple programming languages to
employ multiple threads to efficiently hash, compress/decompress, encrypt data.

For a number of years, there existed a number of useful commandline unix tools
that would process standard input or a single file, and provide information
about that file on standard output. These usually happen to be single threaded.

These days, having multiple cores in a system is the norm, even in sub $1 CPUs.
It has become reasonable to expect credit card sized computers costing less than
$50 to come with several gigabytes of ram, and multi gigabit io interfaces, and
to be able to run general purpose operating systems.

These good old, standard, unix command-line tools have not changed much, yet,
however, we at least have concurrency primitives available in a number of
programming languages that make utilizing multiple threads for such a thing
simple looking, albeit sometimes tricky.

Here's a number of simple example programs in several languages that demonstrate
how these primitives can be used to partially re-implement (in spirit) some of
the functionality offered by these widely spread standard utilities.