Adaptive optimization of sparse matrix-vector multiplication on emerging many-core architectures
Sparse matrix vector multiplication (SpMV) is one of the most common operations in
scientific and high-performance applications, and is often responsible for the application …
scientific and high-performance applications, and is often responsible for the application …
Optimizing sparse matrix–vector multiplications on an armv8-based many-core architecture
Sparse matrix–vector multiplications (SpMV) are common in scientific and HPC applications
but are hard to be optimized. While the ARMv8-based processor IP is emerging as an …
but are hard to be optimized. While the ARMv8-based processor IP is emerging as an …
Reverse-mode algorithmic differentiation of an OpenMP-parallel compressible flow solver
Reverse-mode algorithmic differentiation (AD) is an established method for obtaining adjoint
derivatives of computer simulation applications. In computational fluid dynamics (CFD) …
derivatives of computer simulation applications. In computational fluid dynamics (CFD) …
Parallelizable adjoint stencil computations using transposed forward-mode algorithmic differentiation
Algorithmic differentiation (AD) is a tool for generating discrete adjoint solvers, which
efficiently compute gradients of functions with many inputs, for example for use in gradient …
efficiently compute gradients of functions with many inputs, for example for use in gradient …
Optimizing sparse matrix-vector multiplication on emerging many-core architectures
Sparse matrix vector multiplication (SpMV) is one of the most common operations in
scientific and high-performance applications, and is often responsible for the application …
scientific and high-performance applications, and is often responsible for the application …
[HTML][HTML] Efficient mesh deformation based on Cartesian background mesh
H Fang, C Gong, C Yu, C Min, X Zhang, J Liu… - … & Mathematics with …, 2017 - Elsevier
Moving mesh is widely used in the simulation of aerodynamic shape optimization, multibody
relative motion, aircraft icing and aeroelasticity. The efficient and high quality mesh …
relative motion, aircraft icing and aeroelasticity. The efficient and high quality mesh …
Petascale scramjet combustion simulation on the Tianhe-2 heterogeneous supercomputer
Y Che, M Yang, C Xu, Y Lu - Parallel Computing, 2018 - Elsevier
Combustion simulation is complex and computationally expensive as it involves integration
of fundamental chemical kinetics and multidimensional Computational Fluid Dynamics …
of fundamental chemical kinetics and multidimensional Computational Fluid Dynamics …
[PDF][PDF] Unified Cloud Orchestration Framework for Elastic High Performance Computing in the Cloud.
L Miroslaw, M Pantic, H Nordborg - IoTBD, 2016 - scitepress.org
The demand for computational power and storage in industry and academia is continuously
increasing. One of the key drivers of this demand is the increased use of numerical …
increasing. One of the key drivers of this demand is the increased use of numerical …
[PDF][PDF] Jan Huckelheim1, Paul Hovland2, Michelle Mills Strout3 and
JD Muller - core.ac.uk
Reverse-mode algorithmic differentiation is an established method for obtaining adjoint
derivatives of computer simulation applications. In computational fluid dynamics (CFD) …
derivatives of computer simulation applications. In computational fluid dynamics (CFD) …
Parallelizing and optimizing a detonation combustion simulation application on heterogeneous platform
Y Che, C Xu, T Wang - Computers & Fluids, 2018 - Elsevier
Initition3d is a detonation combustion simulation application developed based on the
AMROC (Adaptive Mesh Refinement Object-oriented C++) framework, originally parallelized …
AMROC (Adaptive Mesh Refinement Object-oriented C++) framework, originally parallelized …