Search Results for "cuda"

MCX is a GPU-accelerated, general-purpose, physically-accurate and feature-rich 3-D light transport simulator. It is one of the fastest simulators because it can use tens of thousands of GPU threads to simulate photons in parallel.

Fast FDTD solver with graphics card support. Optimized for nanoscale optics - scanning near field optical microscopy, rough surface scattering and solar cells. Uses CUDA environment for graphics card operation.

JDFTx is a plane-wave density functional theory code designed for electronic structure theory development. One prominent unique capability is the treatment of solvated electronic systems using joint density functional theory. Please see http://jdftx.org for download and compile instructions, tutorials, documentation and citation information.

Copenhagen Computed Tomography Toolbox is a collection of applications and libraries for flexible and efficient CT reconstruction. The toolbox apps generally take a set of projections (X-ray intensity measurements) and filter and back project them in order to recreate the image or volume that the projections represent. The project includes both mostly informative CPU implementations and highly efficient GPU implementations. Regular releases are hosted at the Python Package Index.

FERN is a CUDA program that implements new methods for solving large sets of stiff differential equations using explicit integration methods. For the theory behind the program (due to Mike Guidry), see http://arxiv.org/abs/1112.4778 .

cuLsoda is an implementation of the Livermore Solver for Ordinary Differential Equations with Automatic switching for stiff and non-stiff problems (LSODA), written in NVIDIA's C for CUDA GPGPU API. NOTE: This repository is now deprecated and replaced by a new one at GitHub: https://github.com/Celemourn/cuLsoda

Oree - Optimum Real-time Estimation of Events of Interaction: real-time reconstruction of photon interaction events in Gamma Cameras. Optionally making use of a CUDA enable GPU, Oree achieves reconstruction of over 1M events/sec.

Blit contains a group of highly efficient iterative sparse solvers that can handle multiple right-hand-sides (i.e. block solvers). We will implement BLQMR, BLGMRES and other block algorithms in MATLAB, FORTRAN 90, C/C++, CUDA and OpenCL.