Titlebook: Numerical Computations with GPUs; Volodymyr Kindratenko Book 2014 Springer International Publishing Switzerland 2014 Differential equation

superfluous

Solving Ordinary Differential Equations on GPUsoping a generic implementation of the most common algorithms and combining this with modern C. libraries like VexCL and Thrust. Our approach is based on generic programming and results in highly scalable and easy-to-use source code.

喃喃而言

貪心

A GPU Implementation for Solving the Convection Diffusion Equation Using the Local Modified SOR Meth results of GPUs based on Fermi and Kepler architectures and a contemporary quad core CPU. The CPU implementation is parallelized with OpenMP utilizing manual AVX (Advanced Vector Extensions) vectorization. The results regarding recomputation look quite promising and we expect that it will be of more significance in the near future.

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Book 2014rical methods, including solution of linear equations and FFT, for massively parallel GPU architectures. This volume consolidates recent research and adaptations, covering widely used methods that are at the core of many scientific and engineering computations. Each chapter is written by authors wor

反復(fù)無常

A Guide for Implementing Tridiagonal Solvers on GPUsview and summarize several existing optimization strategies, and systematically analyze the purpose for each optimization. Finally, a case study, called SPIKE-CR, is given to demonstrate how to apply the guidelines to build a high-performance GPU tridiagonal solver.

THROB

吵鬧

Pseudorandom Numbers Generation for Monte Carlo Simulations on GPUs: OpenCL Approach number generators for Monte Carlo simulations and libraries for GPUs are reviewed. Some tricks for generators implementation on GPUs with OpenCL framework are considered. The performance results of implemented generators on several AMD and NVIDIA GPUs are presented.

殺人

Sparse Matrix-Vector Productable and validated SpMV kernels: cuSPARSE, CUSP and Paralution. We present and discuss complete codes of several SpMV kernels for both basic SpMV formats and some of its derivatives, including CMRS, and briefly discuss the principles beyond other popular format extensions.

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Monte Carlo Simulation of Dynamic Systems on GPU’slistings are provided for Monte Carlo simulation of a point-mass in atmospheric flight. Runtime results are provided demonstrating significant runtime reductions compared to serial CPU-based implementations.

孵卵器