Showing 81 open source projects for "cpu memory usage"

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  • 1
    A capsule tree is a general purpose, self-balancing tree data structure for large, ordered, data-sets. It is designed to provide the same characteristics as B-trees and B+trees, but built from the ground up for in-memory usage. In other words, there are no provisions for “slow” I/O cases. The original motivation for this tree was a better backend for memory managers. However, the end result was a new sub-category of trees. The implementation giving here is just one implementation of the new tree sub-category, there can be others. In any case, read the PDF: “Capsule Trees - A Primer”, before delving into the code.
    Downloads: 0 This Week
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  • 2
    GP2X Hardware Library
    Library which allows developper to access the hardware features of GP2X (personal entertainment player created by a Korean company: GPH). Software emulation is provided on PC through SDL.
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  • 3
    libcuzmem
    Allows CUDA developers to deploy kernels requiring more global GPU memory than is available by transparently mapping pinned CPU memory into the GPU memory map. Works behind the scenes and is easily added to existing projects with minimal effort.
    Downloads: 0 This Week
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  • 4
    JACo MP3 Player ( java mp3 player )
    JACo MP3 Player is a cross platform java mp3 player. Features: very low CPU usage (~2%), incredible small library (~90KB), doesn't need JMF, easy to integrate in any application, easy to integrate in any web page (as applet).
    Downloads: 3 This Week
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    Lightweight, cross platform XML processing library for C++. Designed with efficiency and performance (in terms of both CPU and memory usage) as the top priority. Template based, supports multibyte as well as wide character encodings.
    Downloads: 0 This Week
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  • 6
    EasyStream

    EasyStream

    Java library that ease the task to use streams.

    ...EasyStream is a natural extension of Apache commons-io ( http://commons.apache.org/io/ ), providing advanced solutions to some common but not trivial problem. This library key points are performances, low memory footprint, reduced set of dependencies and simplicity of usage.
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