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This project, initially developed at University College London, contains programs to perform rigid, affine and non-linear registration of nifti or analyse images. Two versions of the algorithms are included, a CPU- and a GPU- (using CUDA) based implementation.
CUDA accelerated spherical model forward solution for EEG/MEG
... by a factor of 22 and 32 is obtained for the EEG and MEG solution respectively when compared to the fastest CPU implementation available in the public domain. The complete source code and pre-compiled binaries are also made available via an open source license (GPL Version 3). A CUDA enabled NVIDIA graphics card is required to use the software.
Folding@home Linux Client Monitor Using this program will allow you to track your contributions to the global folding effort and to any folding teams you may be associated. You will also have control over when the client runs and how much cpu it cons