Projects with this topic
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Set of Feature Selection Tools that make use of parallel environments through CUDA, MPI and Threads
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Bandicoot: user-friendly C++ library for GPU accelerated linear algebra, integrating with CUDA and OpenCL
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SuperConga: Superconductivity simulation framework on GPU.
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ElasWave3D is a novel 3D solver optimized for simulating seismic waves in terrains with complex topography. This solver leverages GPU acceleration to enhance performance.
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CUDA-accelerated implementation of Partial 3D Discrete Wavelet Transform, enabling efficient multi-resolution analysis of volumetric data. Designed optimized GPU kernels to support partial inverse transform, allowing reconstruction of arbitrary points in a 3D signal without processing the entire dataset.
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Examples of Cuda By Example book written by me
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A GUI based application for generating Photomosaics. Website: https://morgangrundy.github.io/
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Meshless solver for continuous PDEs
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A thermal Multiple Relaxation Time Lattice Boltzmann Method (Thermal MRT-LBM) solver using a D3Q27 lattice for the fluid dynamics and a D3Q7 lattice for the convection-diffusion equation modelling the thermal part. The solver is coupled to a live renderer using GLEW, GLM and OpenGL to enable live feedback of the entire simulation domain.
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Master's Thesis on "Noise Reduction for Interactive Volume Visualization using Volumetric Path Tracing"
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Computing centrality metrics with the GPU.
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CUDA-accelerated feature selection mRMR (minimum Redundancy Maximum Relevance) for NVIDIA GPUs.
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Small (C++ & CUDA) project to quickly find the points of intersection between two large sets of finite lines.
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An instructional project to present concepts of parallel programming for C++, Cuda with a Python interface.
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