cuSten — CUDA finite difference and stencil library
نویسندگان
چکیده
منابع مشابه
MPI- and CUDA- implementations of modal finite difference method for P-SV wave propagation modeling
Among different discretization approaches, Finite Difference Method (FDM) is widely used for acoustic and elastic full-wave form modeling. An inevitable deficit of the technique, however, is its sever requirement to computational resources. A promising solution is parallelization, where the problem is broken into several segments, and the calculations are distributed over different processors. ...
متن کاملEfficient 3D stencil computations using CUDA
We present an efficient implementation of 7–point and 27–point stencils on high-end Nvidia GPUs. A new method of reading the data from the global memory to the shared memory of thread blocks is developed. The method avoids conditional statements and requires only two coalesced instructions to load the tile data with the halo. Additional optimizations include storing only one XY tile of data at ...
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This sheet must be filled in (each box ticked to show that the condition has been met), signed and dated, and included with all assessments-work will not be marked unless this is done I confirm that all this work is my own except where indicated, and that I have: • Clearly referenced/listed all sources as appropriate □ • Referenced and put in inverted commas all quoted text of more than three w...
متن کاملmpi- and cuda- implementations of modal finite difference method for p-sv wave propagation modeling
among different discretization approaches, finite difference method (fdm) is widely used for acoustic and elastic full-wave form modeling. an inevitable deficit of the technique, however, is its sever requirement to computational resources. a promising solution is parallelization, where the problem is broken into several segments, and the calculations are distributed over different processors. ...
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This paper explores stencil operations in CUDA to optimize on GPUs the Jacobi method for solving Laplace’s differential equation. The code keeps constant the access pattern through a large number of loop iterations, that way being representative of a wide set of iterative linear algebra algorithms. Optimizations are focused on data parallelism, threads deployment and the GPU memory hierarchy, w...
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ژورنال
عنوان ژورنال: SoftwareX
سال: 2019
ISSN: 2352-7110
DOI: 10.1016/j.softx.2019.100337