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ORCIDNumerical Computations with GPUs 2014
- Volodymyr V. Kindratenko
:
Numerical Computations with GPUs. Springer 2014, ISBN 978-3-319-06547-2
Linear Algebra
- Jack J. Dongarra, Mark Gates, Azzam Haidar, Jakub Kurzak, Piotr Luszczek, Stanimire Tomov, Ichitaro Yamazaki:
Accelerating Numerical Dense Linear Algebra Calculations with GPUs. 3-28 - Li-Wen Chang, Wen-mei W. Hwu:
A Guide for Implementing Tridiagonal Solvers on GPUs. 29-44 - M. Graham Lopez, Mitchel D. Horton:
Batch Matrix Exponentiation. 45-67 - William J. Brouwer, Pierre-Yves Taunay:
Efficient Batch LU and QR Decomposition on GPU. 69-86 - Antonino Tumeo, Nitin Gawande, Oreste Villa:
A Flexible CUDA LU-Based Solver for Small, Batched Linear Systems. 87-101 - Zbigniew Koza, Maciej Matyka, Lukasz Miroslaw, Jakub Pola:
Sparse Matrix-Vector Product. 103-121
Differential Equations
- Karsten Ahnert, Denis Demidov, Mario Mulansky:
Solving Ordinary Differential Equations on GPUs. 125-157 - Kyle E. Niemeyer, Chih-Jen Sung:
GPU-Based Parallel Integration of Large Numbers of Independent ODE Systems. 159-182 - Dominik Göddeke, Dimitri Komatitsch, Matthias Möller:
Finite and Spectral Element Methods on Unstructured Grids for Flow and Wave Propagation Problems. 183-206 - Yiannis Cotronis, Elias Konstantinidis, Nikolaos M. Missirlis:
A GPU Implementation for Solving the Convection Diffusion Equation Using the Local Modified SOR Method. 207-221 - Lidia Kuan, Pedro Tomás, Leonel Sousa:
Finite-Difference in Time-Domain Scalable Implementations on CUDA and OpenCL. 223-242
Random Numbers and Monte Carlo Methods
- Vadim Demchik:
Pseudorandom Numbers Generation for Monte Carlo Simulations on GPUs: OpenCL Approach. 245-271 - Elise de Doncker, John A. Kapenga, Rida Assaf:
Monte Carlo Automatic Integration with Dynamic Parallelism in CUDA. 273-298 - Joanna Wisniewska, Marek Sawerwain:
GPU: Accelerated Computation Routines for Quantum Trajectories Method. 299-318 - Jonathan D. Rogers:
Monte Carlo Simulation of Dynamic Systems on GPU's. 319-336
Fast Fourier Transform and Localized n-Body Problems
- Yash Ukidave, Gunar Schirner, David R. Kaeli:
Fast Fourier Transform (FFT) on GPUs. 339-361 - Yi Yang, Huiyang Zhou:
A Highly Efficient FFT Using Shared-Memory Multiplexing. 363-377 - Bharat Sukhwani, Martin C. Herbordt:
Increasing Parallelism and Reducing Thread Contentions in Mapping Localized N-Body Simulations to GPUs. 379-405
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