Numerical computations with GPUs (Cham, 2014). - ОГЛАВЛЕНИЕ / CONTENTS
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ОбложкаNumerical 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   

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