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kindratenko v numerical computations gpus 2014

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Textbook in PDF format Accelerating Numerical Dense Linear Algebra Calculations with GPUs. A Guide to Implement Tridiagonal Solvers on GPUs. Batch Matrix Exponentiation. Efficient Batch LU and QR Decomposition on GPU. A Flexible CUDA LU-Based Solver for Small, Batched Linear Systems. Sparse Matrix-Vector Product. Solving Ordinary Differential Equations on GPUs. GPU-based integration of large numbers of independent ODE systems. Finite and spectral element methods on unstructured grids for flow and wave propagation problems. A GPU implementation for solving the Convection Diffusion equation using the Local Modified SOR method. Pseudorandom numbers generation for Monte Carlo simulations on GPUs: Open CL approach. Monte Carlo Automatic Integration with Dynamic Parallelism in CUDA. GPU-Accelerated computation routines for quantum trajectories method. Monte Carlo Simulation of Dynamic Systems on GPUs. Fast Fourier Transform (FFT) on GPUs. A Highly Efficient FFT Using Shared-Memory Multiplexing. Increasing parallelism and reducing thread contentions in mapping localized N-body simulations to GPUs

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Kindratenko V. Numerical computations with GPUs 2014.pdf 9.1 MB

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kindratenko v numerical computations gpus 2014

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