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Hpcsharp ⭐ 204

High performance algorithms in C#: SIMD/SSE, multi-core and faster

DASH, the C++ Template Library for Distributed Data Structures with Support for Hierarchical Locality for HPC and Data-Driven Science

Mt Kahypar ⭐ 78

Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.

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

VieM -- Vienna Mapping and Sparse Quadratic Assignment

Parallel Matrix Multiplication Fox Algorithm ⭐ 5

☕Implement of Parallel Matrix Multiplication Methods Using FOX Algorithm on Peking University's High-performance Computing System

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