problem-size

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ranimeshehata / Sparse-Matrix-Vector-Multiplication

A high-performance implementation of Sparse Matrix-Vector Multiplication in C++ with serial, parallel (OpenMP), and GPU-accelerated (CUDA) versions, demonstrating the performance benefits of parallelism across different architectures.

serial gpu optimization openmp parallel-computing cuda efficiency methodology csr spmv sparse-matrix speedup workload load-balancing foster compressed-sparse-row problem-size

Updated Dec 29, 2025
C++

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