thread-synchronization

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Parallel-Systems-aka-Uniwa / Covariance-Register

CUDA/C project for calculating column means, subtracted mean matrices, transposed differences, and covariance matrices of 2D integer arrays using GPU acceleration. Optimized with shared memory and thread synchronization for high-performance parallel computations (Parallel Systems, UNIWA).

c linear-algebra parallel-computing cuda high-performance-computing cuda-kernels gpu-computing academic-project numerical-methods shared-memory covariance-matrix thread-synchronization matrix-operations uniwa

Updated Feb 20, 2026
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Parallel-Systems-aka-Uniwa / CUDA

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CUDA/C project for parallel matrix computations on 2D integer arrays, including average, maximum, Matrix B and C transformations, with high-performance GPU acceleration using parallel reductions, shared memory, and atomic operations (Parallel Systems, UNIWA).