Computationally-efficient and scalable parallel implementation of chemistry in simulations of turbulent combustion

2012 ◽  
Vol 159 (10) ◽  
pp. 3096-3109 ◽  
Author(s):  
Varun Hiremath ◽  
Steven R. Lantz ◽  
Haifeng Wang ◽  
Stephen B. Pope
Keyword(s):  
Turbulent Combustion ◽  
Parallel Implementation ◽  
Computationally Efficient

scholarly journals Computationally Efficient Solution of a 2D Diffusive Wave Equation Used for Flood Inundation Problems

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2195 ◽  
Author(s):  
Wojciech Artichowicz ◽  
Dariusz Gąsiorowski
Keyword(s):  
Wave Equation ◽  
Parallel Implementation ◽  
Time Integration ◽  
Computational Time ◽  
System Of Nonlinear Equations ◽  
Computationally Efficient ◽  
Time Step ◽  
Finite Element Scheme ◽  
Numerical Errors ◽  
Floodplain Inundation

This paper presents a study dealing with increasing the computational efficiency in modeling floodplain inundation using a two-dimensional diffusive wave equation. To this end, the domain decomposition technique was used. The resulting one-dimensional diffusion equations were approximated in space with the modified finite element scheme, whereas time integration was carried out using the implicit two-level scheme. The proposed algorithm of the solution minimizes the numerical errors and is unconditionally stable. Consequently, it is possible to perform computations with a significantly greater time step than in the case of the explicit scheme. An additional efficiency improvement was achieved using the symmetry of the tridiagonal matrix of the arising system of nonlinear equations, due to the application of the parallelization strategy. The computational experiments showed that the proposed parallel implementation of the implicit scheme is very effective, at about two orders of magnitude with regard to computational time, in comparison with the explicit one.

scholarly journals Parallel Harmonic Balance Method for Analysis of Nonlinear Dynamical Systems

2020 ◽  
Author(s):  
J. Blahoš ◽  
A. Vizzaccaro ◽  
L. Salles ◽  
F. El Haddad
Keyword(s):  
Harmonic Balance ◽  
Solid Mechanics ◽  
Nonlinear Dynamical Systems ◽  
Parallel Implementation ◽  
Harmonic Balance Method ◽  
Aircraft Engine ◽  
Balance Method ◽  
Computationally Efficient ◽  
Nonlinear Dynamical ◽  
Engine Design

Abstract Controlling vibration in jet engine remains one of the biggest challenges in aircraft engine design and conception. Methods dealing with vibration modelling usually rely on reduced order modelling techniques. This paper aims to provide a high fidelity method to solve vibration problems. It presents a parallel harmonic balance method applied to a full size problem. In order to be computationally efficient, a parallel harmonic balance method is used for the first time in solid mechanics. First, the parallel implementation of harmonic balance method is described in detail. The algorithm is designed to minimize communication between cores. Then, the software is tested for both beam and blade geometries. Finally, a scalability study shows promising acceleration when increasing the number of cores.

Computationally efficient model of the implanted knee for time-sensitive applications

2020 ◽  
Author(s):  
E Bori ◽  
A Navacchia ◽  
L Wang ◽  
L Duxbury ◽  
S McGuan ◽  
...  
Keyword(s):  
Computationally Efficient

Cloud-Based Multimedia Content Protection System

2020 ◽  
pp. 164-169
Author(s):  
B. Aparna ◽  
S. Madhavi ◽  
G. Mounika ◽  
P. Avinash ◽  
S. Chakravarthi
Keyword(s):  
Large Scale ◽  
Protection System ◽  
Multimedia Content ◽  
Computationally Efficient ◽  
Content Protection ◽  
Protection Systems ◽  
Multimedia Content Protection ◽  
High Scalability ◽  
Cloud Infrastructures ◽  
Rapid Deployment

We propose a new design for large-scale multimedia content protection systems. Our design leverages cloud infrastructures to provide cost efficiency, rapid deployment, scalability, and elasticity to accommodate varying workloads. The proposed system can be used to protect different multimedia content types, including videos, images, audio clips, songs, and music clips. The system can be deployed on private and/or public clouds. Our system has two novel components: (i) method to create signatures of videos, and (ii) distributed matching engine for multimedia objects. The signature method creates robust and representative signatures of videos that capture the depth signals in these videos and it is computationally efficient to compute and compare as well as it requires small storage. The distributed matching engine achieves high scalability and it is designed to support different multimedia objects. We implemented the proposed system and deployed it on two clouds: Amazon cloud and our private cloud. Our experiments with more than 11,000 videos and 1 million images show the high accuracy and scalability of the proposed system. In addition, we compared our system to the protection system used by YouTube and our results show that the YouTube protection system fails to detect most copies of videos, while our system detects more than 98% of them.

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