Showing 8 open source projects for "jd-core"

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  • 1
    experix laboratory control system

    experix laboratory control system

    instrument control, data acquisition display and analysis

    Experix is a command-line driven environment for laboratory data acquisition and device control and graphical presentation and analysis of data. Written in C for GNU-Linux . Tested on PC and Raspberry Pi. The core is written very generally in order to support applications by means of script files. Device interfaces: PCMCIA daq (2 devices tested) via kernel module with interrupt handler and memory-mapped data; USB daq (1 device tested) using libusbx; running an equipment servicing program via pipes. Interfaces accessible via commands and scripts: file i/o modelled on stdio and stdlib; usb control and bulk transfers; socket operations; webcam; graphics via framebuffer. ...
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  • 2

    KEMP

    A FDTD solver for electromagnetic wave simulations on a GPU cluster

    ...The FDTD (Finite-Difference Time-Domain) method is a popular numerical method for electromagnetic field simulations. KEMP enables hardware accelerations suitable for multi-GPU, multi-core CPU and GPU cluster. KEMP also provide easy configuration by using Python scripting language.
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  • 3
    MDcore is an Open-Source library implementing the core functionality of a Molecular Dynamics engine. The engine is inherently multi-threaded and runs efficiently on multi-processor/multi-core shared-memory architectures.
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  • 4

    XNDiff

    X-ray and Neutron powder pattern simulation analysis

    Keywords (XNDiff): -SAXS -SANS -absolute units -core (double)shell crystalline nanoparticles -with a parallelepidal shape -particle assemblies -powder and ensemble average -C/C++ -Unix -OpenMP -HPC Cluster Keywords (BatchMultiFit): -simultaneous fits for several SAXS and SANS curves with simulation data from XNDiff -SANS data can be smeared with dq values from experimental data sets or analytical functions -Mathematica console -local and global optimizers (simulated annealing, differential evolution, Nelder-Mead, ...) can be used -range for fit parameters and further constraints between fit parameters -parallelized (typ. 4-8 threads) TODO (BatchMultiFit): -read and use errorbars from experimental data sets -allow different q-ranges for different data sets in the fits -rewrite and test in Python using e.g. the lmfit module: https://pypi.python.org/pypi/lmfit/ to get rid of Mathematica and to run it on HPC clusters
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  • 5
    MIT SPHERES Simulation (Release)

    MIT SPHERES Simulation (Release)

    MIT's spacecraft simulator for control algorithm development

    The SPHERES simulation is designed to support most software-related aspects of single- and multi-satellite SPHERES operations. The simulation code base consists of simulated versions of most of the SPHERES core flight code and additional code that simulates dynamics, communications, and other environmental interaction. The simulation is particularly valuable during the early stages of algorithm development and implementation as an aid in accelerating the learning curve for any Guest Scientist for SPHERES. Algorithms may be implemented in C or Embedded MATLAB and executed in the MATLAB simulation environment to verify general desired behavior. ...
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  • 6
    A open platform for the design space exploration of a paramerized architecture based on a EPIC/VLIW core. It includes area, power and performance estimators and the implementation of several exploration algorithms presented in literature.
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  • 7
    The Virtual Geoscience Workbench for discontinuous systems is a computer software environment for modelling. We have made the combined Finite-Discrete Element Method (FEMDEM) the core of our solids technology.
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  • 8
    A text-mode simulator for the original 12-bit, 4K core memory PDP-8 desktop computer.
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