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MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel and distributed algorithm on a cluster. [1] [2] [3]A MapReduce program is composed of a map procedure, which performs filtering and sorting (such as sorting students by first name into queues, one queue for each name), and a reduce method, which performs a summary ...
Apache Hadoop (/ h ə ˈ d uː p /) is a collection of open-source software utilities for reliable, scalable, distributed computing.It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.
This SVG is intended to give the reader of the Mapreduce article a basic overview of the data flow in a Mapreduce framework. Source SVG-Edit Date 2012-11-28 Author Poposhka. Permission (Reusing this file) See below.
However map-reduce has been an integral part of functional programming and enabler of parallelism decades before. Concatenating the words Map and Reduce does not sufficiently identify this as a Google specific technology when users are sent to this page searching for general information on map-reduce and parallelism.
A texture map [5] [6] is an image applied (mapped) to the surface of a shape or polygon. [7] This may be a bitmap image or a procedural texture.They may be stored in common image file formats, referenced by 3D model formats or material definitions, and assembled into resource bundles.
In computer graphics, a texture atlas (also called a spritesheet or an image sprite in 2D game development) is an image containing multiple smaller images, usually packed together to reduce overall dimensions. [1] An atlas can consist of uniformly-sized images or images of varying dimensions. [1]
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In computer graphics, a procedural texture [1] is a texture created using a mathematical description (i.e. an algorithm) rather than directly stored data. The advantage of this approach is low storage cost, unlimited texture resolution and easy texture mapping . [ 2 ]