Numerical computations with GPUs / ed. by V.Kindratenko. - Cham: Springer, 2014. - x, 405 p.: ill. - Bibliogr. at the end of the chapters. - ISBN 978-3-319-06547-2 Шифр: И/В19-N92) 02   Место хранения:   02 | Отделение ГПНТБ СО РАН | Новосибирск

Оглавление / Contents

Part I Linear Algebra 1 Accelerating Numerical Dense Linear Algebra Calculations with GPUs .................................................... 3 Jack Dongarra, Mark Gates, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, and Ichitaro Yamazaki 2 A Guide for Implementing Tridiagonal Solvers on GPUs ........ 29 Li-Wen Chang and Wen-mei W. Hwu 3 Batch Matrix Exponentiation ................................. 45 M. Graham Lopez and Mitchel D. Horton 4 Efficient Batch LU and QR Decomposition on GPU .............. 69 William J. Brouwer and Pierre-Yves Taunay 5 A Flexible CUDA LU-Based Solver for Small, Batched Linear Systems .............................................. 87 Antonino Tumeo, Nitin Gawande, and Oreste Villa 6 Sparse Matrix-Vector Product ............................... 103 Zbigniew Koza, Maciej Matyka, Łukasz Mirosław, and Jakub Poła Part II Differential Equations 7 Solving Ordinary Differential Equations on GPUs ............ 125 Karsten Ahnert, Denis Demidov, and Mario Mulansky 8 GPU-Based Parallel Integration of Large Numbers of Independent ODE Systems ................................. 159 Kyle E. Niemeyer and Chih-Jen Sung 9 Finite and Spectral Element Methods on Unstructured Grids for Flow and Wave Propagation Problems ............... 183 Dominik Göddeke, Dimitri Komatitsch, and Matthias Möller 10 A GPU Implementation for Solving the Convection Diffusion Equation Using the Local Modified SOR Method ..... 207 Yiannis Cotronis, Elias Konstantinidis, and Nikolaos M. Missirlis 11 Finite-Difference in Time-Domain Scalable Implementations on CUDA and OpenCL ......................................... 223 Lidia Kuan, Pedro Tomás, and Leonel Sousa Part III. Random Numbers and Monte Carlo Methods 12 Pseudorandom Numbers Generation for Monte Carlo Simulations on GPUs: OpenCL Approach ....................... 245 Vadim Demchik 13 Monte Carlo Automatic Integration with Dynamic Parallelism in CUDA ........................................ 273 Elise de Doncker, John Kapenga, and Rida Assaf 14 GPU: Accelerated Computation Routines for Quantum Trajectories Method ........................................ 299 Joanna Wiśniewska and Marek Sawerwain 15 Monte Carlo Simulation of Dynamic Systems on GPU's ......... 319 Jonathan Rogers Part IV. Fast Fourier Transform and Localized n-Body Problems 16 Fast Fourier Transform (FFT) on GPUs ....................... 339 Yash Ukidave, Gunar Schirner, and David Kaeli 17 A Highly Efficient FFT Using Shared-Memory Multiplexing .... 363 Yi Yang and Huiyang Zhou 18 Increasing Parallelism and Reducing Thread Contentions in Mapping Localized N-Body Simulations to GPUs ............ 379 Bharat Sukhwani and Martin C. Herbordt