Search Results for "cuda"
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Showing 9 open source projects for "cuda"
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Monte Carlo eXtreme (MCX)
Physically accurate and validated GPU ray-tracer
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. -
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PMCGPU
Parallel simulators for Membrane Computing on the GPU
...The objective of this project (PMCGPU) is to bring together all the researchers working on the development of parallel simulators for P systems, specially those using the GPU (e.g. CUDA, OpenCL, etc). Other parallel platforms are also welcome (multicore and manycore, FPGAs, etc). This project has been initiated by the Research Group on Natural Computing (Department of Computer Science and Artificial Intelligence, University of Seville). PMCGPU was born inside the P-Lingua project, of the same research group. ... -
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FERN: Fast Explicit Reaction Networks
Quickly and explicitly solving sets of differential equations.
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 . -
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...***** You will find all future GeNN updates on GitHub at: https://github.com/genn-team/genn THIS PAGE WILL NO LONGER BE MAINTAINED! ==================================== GeNN is a GPU enhanced Neuronal Network simulation environment based on code generation for NVidia CUDA.
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Fast flexible simulator of spiking neural networks. Easy to use graphical user interface with comprehensive monitoring facilities. Integrates with the NeMo CUDA simulator and the iSpike interface for the iCub robot.
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The goal of project "defE" is to build a library to handle the simulation of the transformation and collision about deformable geometry using the sphere-spring system. It uses CUDA to deal with the enormous mount of parallel computable calculation.
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This projects aims at providing java-bindings to the CUDA numeric environment. CUDA is an extension to the C/C++ programming language by NVIDIA.
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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.
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