Backprojection Algorithms for Multicore and GPU Architectures

2018 ◽  
pp. 420-440
Author(s):  
William Chapman
Keyword(s):  
Gpu Architectures

An Octree-based, Cartesian CFD Solver for Helios on CPU and GPU Architectures.

2021 ◽  
Author(s):  
Dylan Jude ◽  
Jay Sitaraman ◽  
Andrew M. Wissink
Keyword(s):  
Gpu Architectures

Exploring Applications of STT-RAM in GPU Architectures

2021 ◽  
Vol 68 (1) ◽  
pp. 238-249
Author(s):  
Xiaoxiao Liu ◽  
Mengjie Mao ◽  
Xiuyuan Bi ◽  
Hai Li ◽  
Yiran Chen
Keyword(s):  
Gpu Architectures

GPU-based pseudo-transient finite difference solution for power-law viscous flow in cartesian, polar and spherical coordinates

2021 ◽  
Author(s):  
Emilie Macherel ◽  
Yuri Podladchikov ◽  
Ludovic Räss ◽  
Stefan M. Schmalholz
Keyword(s):  
High Resolution ◽  
Finite Difference ◽  
Viscous Flow ◽  
Power Law ◽  
High Performance ◽  
Viscoelastic Behavior ◽  
Iterative Solution ◽  
Circular Inclusion ◽  
Lithospheric Flexure ◽  
Gpu Architectures

<p>Power-law viscous flow describes well the first-order features of long-term lithosphere deformation. Due to the ellipticity of the Earth, the lithosphere is mechanically analogous to a shell, characterized by a double curvature. The mechanical characteristics of a shell are fundamentally different to the characteristics of plates, having no curvature in their undeformed state. The systematic quantification of the magnitude and the spatiotemporal distribution of strain, strain-rate and stress inside a deforming lithospheric shell is thus of major importance: stress is for example a key physical quantity that controls geodynamic processes such as metamorphic reactions, decompression melting, lithospheric flexure, subduction initiation or earthquakes.</p><p>Stress calculations in a geometrically and mechanically heterogeneous 3-D lithospheric shell require high-resolution and high-performance computing. The pseudo-transient finite difference (PTFD) method recently enabled efficient simulations of high-resolution 3-D deformation processes, implementing an iterative implicit solution strategy of the governing equations for power-law viscous flow. Main challenges for the PTFD method is to guarantee convergence, minimize the required iteration count and speed-up the iterations.</p><p>Here, we present PTFD simulations for simple mechanically heterogeneous (weak circular inclusion) incompressible 2-D power-law viscous flow in cartesian and cylindrical coordinates. The flow laws employ a pseudo-viscoelastic behavior to optimize the iterative solution by exploiting the fundamental characteristics of viscoelastic wave propagation.</p><p>The developed PTFD algorithm executes in parallel on CPUs and GPUs. The development was done in Matlab (mathworks.com), then translated into the Julia language (julialang.org), and finally made compatible for parallel GPU architectures using the ParallelStencil.jl package (https://github.com/omlins/ParallelStencil.jl). We may unveil preliminary results for 3-D spherical configurations including gravity-controlled lithospheric stress distributions around continental plateaus.</p>

scholarly journals Dynamically managed data for CPU-GPU architectures

2012 ◽  
Author(s):  
Thomas B. Jablin ◽  
James A. Jablin ◽  
Prakash Prabhu ◽  
Feng Liu ◽  
David I. August
Keyword(s):  
Gpu Architectures

scholarly journals Hardware Support for Scratchpad Memory Transactions on GPU Architectures

2017 ◽  
pp. 273-286
Author(s):  
Alejandro Villegas ◽  
Rafael Asenjo ◽  
Angeles Navarro ◽  
Oscar Plata ◽  
Rafael Ubal ◽  
...  
Keyword(s):  
Hardware Support ◽  
Scratchpad Memory ◽  
Gpu Architectures
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