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Computer Science > Mathematical Software

arXiv:1805.08846 (cs)
[Submitted on 21 May 2018]

Title:CUDACLAW: A high-performance programmable GPU framework for the solution of hyperbolic PDEs

Authors:H. Gorune Ohannessian, George Turkiyyah, Aron Ahmadia, David Ketcheson
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Abstract:We present cudaclaw, a CUDA-based high performance data-parallel framework for the solution of multidimensional hyperbolic partial differential equation (PDE) systems, equations describing wave motion. cudaclaw allows computational scientists to solve such systems on GPUs without being burdened by the need to write CUDA code, worry about thread and block details, data layout, and data movement between the different levels of the memory hierarchy. The user defines the set of PDEs to be solved via a CUDA- independent serial Riemann solver and the framework takes care of orchestrating the computations and data transfers to maximize arithmetic throughput. cudaclaw treats the different spatial dimensions separately to allow suitable block sizes and dimensions to be used in the different directions, and includes a number of optimizations to minimize access to global memory.
Subjects: Mathematical Software (cs.MS); Numerical Analysis (math.NA)
Cite as: arXiv:1805.08846 [cs.MS]
  (or arXiv:1805.08846v1 [cs.MS] for this version)
  https://doi.org/10.48550/arXiv.1805.08846

Submission history

From: David Ketcheson [view email]
[v1] Mon, 21 May 2018 14:21:51 UTC (1,544 KB)
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H. Gorune Ohannessian
George Turkiyyah
Aron J. Ahmadia
David I. Ketcheson
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