A novel GPU accelerated MCMC algorithm for graph coloring
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Updated
Jul 15, 2020 - Cuda
A novel GPU accelerated MCMC algorithm for graph coloring
GPU-accelerated implementation of the Smith-Waterman algorithm (GPU101 PiA project)
GPU Accelerated Path-Tracer (basic prototype)
An image enhancing program using histogram equalization, enables GPU acceleration with CUDA
GPU programming harnesses the power of Graphics Processing Units and parallel computing for intense tasks like numerical simulations in Astro- or Biophysics
A mini project that includes calculations related to light propagation. The following technologies are used: C ++ & CUDA & OpenMP.
Parallel Programming on the GPU using CUDA
Upload of CUDA programs developed in my GPU Computing Course
CUDA C simple application for Nvidia's GPU
A complete x86 race checker accelerated by Cuda GPU
Parallel implementation with CUDA of LBP descriptor algorithm
Parallel Heterogeneous CPU/GPU computing
⏱️ 📈 💎 Projects based in High Performance Computing Labs. This projects was built using C++ (C Plus Plus) and CUDA (Compute Unified Device Architecture). This repository it's based in some practical lab exercises and examples related with High Performance Computing, among many others!
Parallelization of the Alpha-Beta Pruning Algorithm applied to an open-source Chess engine, using GPUs
Newton's and Halley's Method for the Matrix Polar Decomposition using CUDA
Optimized Parallel Sum program demonstrating CPU vs GPU performance
A collection of GPU and high-performance computing programs written in CUDA for CS89.25/189.3, a graduate-level CS course at Dartmouth.
High-performance computing on clusters using NVIDIA graphics accelerators. GPU Programming on NVIDIA CUDA, profiling and optimization with NVVP.
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