Optimized FFT computations on heterogeneous platforms with application to the Poisson equation

We develop optimized multi-dimensional FFT implementations on CPU–GPU heterogeneous platforms for the case when the input is too large to fit on the GPU global memory, and use the resulting techniques to develop a fast Poisson solver. The solver involves memory bound computations for which the large...

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Vydáno v:	Journal of parallel and distributed computing Ročník 74; číslo 8; s. 2745 - 2756
Hlavní autoři:	Wu, Jing, JaJa, Joseph
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier Inc 01.08.2014 Elsevier
Témata:	Applied sciences Boundary conditions Buses (vehicles) Computation Computer science; control theory; systems Computer systems and distributed systems. User interface CUDA GPU Data transfer (computers) Exact sciences and technology Fast Fourier transforms Operation, maintenance, reliability Parallel and vector implementations Platforms Poisson equation Poisson equations Software Solvers Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Three dimensional Poisson equations Fast Fourier transforms Parallel and vector implementations CUDA GPU Performance evaluation Lower bound Neumann problem Parallel algorithm Fast Fourier transformation Data transmission Poisson equation Bus(channel) Distributed system Boundary condition Synchronization Heterogeneity Computation time Graphic processing unit Bandwidth Central unit Accelerator Execution time
ISSN:	0743-7315, 1096-0848
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