An implementation of a parallel Gaussian blur algorithm written in CUDA C++. OpenCV is used solely for reading/writing images and converting between image formats.
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Jul 31, 2020 - Cuda
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shared-memory
Here are 8 public repositories matching this topic...
A simple and understandable CUDA kernel for batch-matmul operation
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Oct 15, 2018 - Cuda
The MNIST classification problem is a fundamental machine learning task that involves recognizing handwritten digits (0- 9) from a dataset of 70,000 grayscale images (28x28 pixels each). It serves as a benchmark for evaluating machine learning models, particularly neural networks.
benchmarking deep-learning parallel-computing cuda mnist neural-networks high-performance-computing gpu-acceleration profiling shared-memory openacc performance-optimization c-cpp nsight tensor-cores cuda-streams pinned-memory
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Sep 12, 2025 - Cuda
A collection of CUDA programming exercises focused on exploring and implementing high-performance GPU computing techniques. The repository covers topics such as warp-level optimization, shared memory utilization, and various algorithm implementations tailored for parallel processing.
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Sep 5, 2025 - Cuda
Machine problems
cuda reduction matrix-multiplication convolution gpu-computing shared-memory sparse-matrix atomic-operation
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Dec 12, 2019 - Cuda
Assigment 3 for the "Parallel & Distributed Systems" course (ECE, AUTh)
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Mar 16, 2025 - Cuda
High-performance GPU implementations of Gaussian Blur and Sobel Edge Detection with CUDA, featuring optimized memory usage, benchmarking, and visualization of speedups over CPU.
computer-vision cpp gpu parallel-computing cuda image-processing high-performance-computing gpu-acceleration shared-memory gaussian-blur sobel-edge-detection
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Oct 21, 2025 - Cuda
Repository of the lab9 assignment for the Parallel Programming course.
cuda shared-memory reductions thread-synchronization atomic-operations 2d-blocks warp-divergence warp-shuffles tnreadfence
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Jul 3, 2025 - Cuda
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