Search Results for "parallel desktop"

As of August 2018 Spheral++ has moved to Github -- please see the current repository at https://github.com/jmikeowen/spheral We are leaving a frozen version here on SourceForge for historical reasons. Spheral++ provides a steerable parallel environment for performing coupled hydrodynamical & gravitational numerical simulations. Hydrodynamics and gravity are modelled using particle based methods (SPH and N-Body).

HSPI offers to the astronomer the possibility to capture pictures from the CCD camera in a fast and intuitive way, keeping under control all the instrumentation in posses. HSPI can control the CCD camera, the mount, the focuser, the filter wheel and the dome from a single interface, and not only this: these features can be added on as many observatories and instrumentations you want. HSPI is ASCOM and INDI compatible, so if you want to use particular setups like Linux computers connected...

Parallel Iterative Deconvolution is a multithreaded ImageJ plugin for iterative image deblurring.

Parallel Spectral Deconvolution is a multithreaded ImageJ plugin for spectral image deblurring.

Drivers and applications for the range of Scientific CCD cameras produced by Apogee Instruments Inc. Both ISA and Parallel interfaces are supported. A high level library and GUI are provided for Astronomical applications.

PARAMESH is a package of Fortran 90 subroutines designed to provide an application developer with an easy route to extend an existing serial code which uses a logically cartesian structured mesh into a parallel code with adaptive mesh refinement(AMR).

The goal is an Ascom driver for parallel port connected, telescope controlling stepper motors.

Finds the cosmological power spectrum from a N-body simulation using the MPI FFTW library. May be run as a parallel computation for increased resolution. Reads in binary Gadget2 files.

Software for creating Depth Maps and DEMs from image pairs taken using a Stereo Camera Rig. Currently works on images from Parallel Cameras. I can be contacted via jamie.fraser@gmail.com.

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.