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Thrust ⭐ 4,843

[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl

stdgpu: Efficient STL-like Data Structures on the GPU

Learn Gpgpu ⭐ 29

Algorithms implemented in CUDA + resources about GPGPU

A cross-platform Pytnon library for fundamental algorithm with GPU-accelerated computing

Dpcluster ⭐ 21

Efficient Dirichlet process clustering

Parallel reduction of boundary matrices for Persistent Homology with CUDA

Gpu Toolkit ⭐ 14

🦚 🧰 Collection of basic GPU algorithms implemented in CUDA C++.

Gpu Cuda Self Organising Maps ⭐ 7

🧠 💡 📈 A project based in High Performance Computing. This project was built using CUDA (Compute Unified Device Architecture), C++ (C Plus Plus), C, CMake and JetBrains CLion. The scenario of the project was a GPU-based implementation of the Self-Organising-Maps (S.O.M.) algorithm for Artificial Neural Networks (A.N.N.), with the support of CUDA (Compute Unified Device Architecture), using its offered parallel optimisations and tunings. The final goal of the project was to test the several GPU

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