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Jacobian-free Newton-Krylov methods with GPU acceleration for computing nonlinear ship wave patterns

R. Pethiyagoda, S. W. McCue, T. J. Moroney, J. M. Back

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Tags: Algorithms, CUDA, Fluid dynamics, nVidia, nVidia Tesla M2090, Partial differential equations, PDEs

March 27, 2014 by hgpu

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high performance computing on graphics processing units: hgpu.org

Jacobian-free Newton-Krylov methods with GPU acceleration for computing nonlinear ship wave patterns

Recent source codes

Spatter: Benchmark for measuring the performance of sparse and irregular memory access

StePS: Stereographically Projected Cosmological Simulations

AMGCL:C++ library for solving large sparse linear systems with algebraic multigrid method

PAstudy

hpx: The C++ Standard Library for Parallelism and Concurrency

OpenDwarfs: a benchmark suite consisting of different computation/communication idioms, i.e., dwarfs, for state-of-art multicore CPUs, GPUs, Intel MICs and Altera FPGAs

Rodinia Benchmark Suite ported for OpenCL-capable Intel FPGAs

The Ocean Tensor Package

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International Conference on Image, Video and Signal Processing (IVSP), 2019

International Joint Conference on Signals, Systems and Computers (CSSC), 2018

International Joint Conference on Robotics, Automation and Mechatronics (JCRAM), 2018

International Joint Conference on Robotics and Artificial Intelligence (JCRAI), 2018

International Joint Conference on Computer Vision and Pattern Recognition (CCVPR), 2018