Showing 5 open source projects for "parallel desktop"

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  • 1
    UmUTracker

    UmUTracker

    A MATLAB program for 2D particle tracking or 3D DHM based tracking.

    We present a versatile and fast MATLAB program (UmUTracker) that automatically detects and tracks particles by analyzing long video sequences acquired by either light microscopy or digital holography microscopy (DHM). Our program finds the 2D particle center position using an isosceles triangle transform and the axial position by a fast implementation of Rayleigh-Sommerfeld numerical reconstruction algorithm using a one dimensional radial intensity profile. *Updates v1.1: 2017/11/21- Bug...
    Downloads: 1 This Week
    Last Update:
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  • 2
    orbkit (Moved to Github)

    orbkit (Moved to Github)

    A Modular Python Toolbox for Cross-Platform Post-Processing of Quantum

    PLEASE NOTE ORBKIT HAS BEEN MOVED TO https://github.com/orbkit/orbkit orbkit is a parallel Python program package for post-processing wave function data extracted from output files of MOLPRO (Molden File Format), TURBOMOLE (AOMix file format), GAMESS-US, PROAIMS/AIMPAC (wfn/wfx file format), and Gaussian (Output File and Formatted Checkpoint File) output files. Futhermore, an interface to cclib, a parser for quantum chemical logfiles, is provided. If you use orbkit in your work,...
    Downloads: 3 This Week
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  • 3
    PPIV is a parallel software application used in Particle Image Velocimetry (PIV) analysis. The software will compute the vector field for one image pair or multiple image pairs. PPIV can run on a single desktop machine or in a cluster environment.
    Downloads: 0 This Week
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  • 4
    The JBlaster is a software driver that allows you to configure Altera's PLDs and FPGAs through the ByteBlasterMV in JTAG mode under Linux and Windows NT, interfaceing via the parallel Port. The JBlaster parses a Quartus II generated chain descriptio
    Downloads: 0 This Week
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  • 5
    Improving the speed of the signal analysis code for Seti@home. Leveraging modern processors advanced features such as SIMD and parallel execution units, as well as identifying better methods to code existing functions.
    Downloads: 0 This Week
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