Simulation Design of Aircraft CFD Based on High Performance Parallel Computation

2018 ◽  
pp. 961-968
Author(s):  
Yinfen Xie
Keyword(s):  
Parallel Computation ◽  
High Performance ◽  
Simulation Design

scholarly journals High-Performance Ultra-Thin Spectrometer Optical Design Based on Coddington’s Equations

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 323
Author(s):  
Zhiwei Feng ◽  
Guo Xia ◽  
Rongsheng Lu ◽  
Xiaobo Cai ◽  
Hao Cui ◽  
...  
Keyword(s):  
High Resolution ◽  
Spectral Resolution ◽  
High Performance ◽  
Optical Design ◽  
Pixel Size ◽  
Simulation Design ◽  
Central Wavelength ◽  
Spot Radius ◽  
Unique Method ◽  
Almost All

A unique method to design a high-throughput and high-resolution ultrathin Czerny–Turner (UTCT) spectrometer is proposed. This paper reveals an infrequent design process of spectrometers based on Coddington’s equations, which will lead us to develop a high-performance spectrometer from scratch. The spectrometer is composed of cylindrical elements except a planar grating. In the simulation design, spot radius is sub-pixel size, which means that almost all of the energy is collected by the detector. The spectral resolution is 0.4 nm at central wavelength and 0.75 nm at edge wavelength when the width of slit is chosen to be 25 μm and the groove density is 900 lines/mm.

Application of High Performance Parallel Computing Based on GPU

2013 ◽  
Vol 411-414 ◽  
pp. 585-588
Author(s):  
Liu Yang ◽  
Tie Ying Liu
Keyword(s):  
Particle Swarm Optimization ◽  
Parallel Computing ◽  
Parallel Computation ◽  
High Performance ◽  
Search Process ◽  
Search Rate ◽  
Swarm Optimization ◽  
Path Search ◽  
Parallel Feature ◽  
Time And Space Complexity

This paper introduces parallel feature of the GPU, which will help GPU parallel computation methods to achieve the parallelization of PSO parallel path search process; and reduce the increasingly high problem of PSO (PSO: Particle Swarm Optimization) in time and space complexity. The experimental results show: comparing with CPU mode, GPU platform calculation improves the search rate and shortens the calculation time.

scholarly journals Data Centric Framework for Large-scale High-performance Parallel Computation

2014 ◽  
Vol 29 ◽  
pp. 2336-2350 ◽  
Author(s):  
Kenji Ono ◽  
Yasuhiro Kawashima ◽  
Tomohiro Kawanabe
Keyword(s):  
Parallel Computation ◽  
High Performance ◽  
Large Scale

scholarly journals A Parallel Implementation of Unscheduled Flow Control in Interconnected Power Systems

2012 ◽  
Vol 2012 ◽  
pp. 1-19
Author(s):  
G. Ozdemir Dag ◽  
Mustafa Bagriyanik
Keyword(s):  
Power Systems ◽  
Power System ◽  
Parallel Computation ◽  
High Performance ◽  
Power Flow ◽  
Parallel Implementation ◽  
Computation Time ◽  
Test System ◽  
Fuzzy Decision Making ◽  
Optimization Approach

The unscheduled power flow problem needs to be minimized or controlled as soon as possible in a deregulated power system since the transmission systems are mostly operated at their power-carrying limits or very close to it. The time spent for simulations to determine the current states of all the system and control variables of the interconnected power system is important. Taking necessary action in case of any failure of equipment or any other occurrence of an undesired situation could be critical. Using supercomputing facilities and parallel computing techniques together decreases the computation time greatly. In this study, a parallel implementation of a multiobjective optimization approach based on both genetic algorithms and fuzzy decision making to manage unscheduled flows is presented. Parallel computation techniques are applied using supercomputers (high-performance computers). The proposed method is applied to the IEEE 300 bus test system. Two different cases for some parameters of GA are considered to see the power of parallel computation technique. Then the simulation results are presented.

A novel paradigm of parallel computation and its use to implement simple high-performance hardware

1992 ◽  
Vol 7 (2-3) ◽  
pp. 181-198 ◽  
Author(s):  
R.W Hartenstein ◽  
A.G Hirschbiel ◽  
K Schmidt ◽  
M Weber
Keyword(s):  
Parallel Computation ◽  
High Performance

scholarly journals SPATIOTEMPORAL DOMAIN DECOMPOSITION FOR MASSIVE PARALLEL COMPUTATION OF SPACE-TIME KERNEL DENSITY

2015 ◽  
Vol II-4/W2 ◽  
pp. 7-11 ◽  
Author(s):  
A. Hohl ◽  
E. M. Delmelle ◽  
W. Tang
Keyword(s):  
Domain Decomposition ◽  
Parallel Computation ◽  
High Performance ◽  
Parallel Implementation ◽  
Kernel Density ◽  
Great Accuracy ◽  
Space Time ◽  
Size Diversity ◽  
Data Points ◽  
Tropical Climates

Accelerated processing capabilities are deemed critical when conducting analysis on spatiotemporal datasets of increasing size, diversity and availability. High-performance parallel computing offers the capacity to solve computationally demanding problems in a limited timeframe, but likewise poses the challenge of preventing processing inefficiency due to workload imbalance between computing resources. Therefore, when designing new algorithms capable of implementing parallel strategies, careful spatiotemporal domain decomposition is necessary to account for heterogeneity in the data. In this study, we perform octtree-based adaptive decomposition of the spatiotemporal domain for parallel computation of space-time kernel density. In order to avoid edge effects near subdomain boundaries, we establish spatiotemporal buffers to include adjacent data-points that are within the spatial and temporal kernel bandwidths. Then, we quantify computational intensity of each subdomain to balance workloads among processors. We illustrate the benefits of our methodology using a space-time epidemiological dataset of Dengue fever, an infectious vector-borne disease that poses a severe threat to communities in tropical climates. Our parallel implementation of kernel density reaches substantial speedup compared to sequential processing, and achieves high levels of workload balance among processors due to great accuracy in quantifying computational intensity. Our approach is portable of other space-time analytical tests.

Application of CAE Technology in the Simulation Design of Internal Combustion Engine Piston

2015 ◽  
Vol 1092-1093 ◽  
pp. 483-486
Author(s):  
Yan Hui Zhao ◽  
Sheng Hui Peng ◽  
Hong Li
Keyword(s):  
Finite Element ◽  
Internal Combustion Engine ◽  
High Performance ◽  
Combustion Engine ◽  
Rapid Development ◽  
Computer Software ◽  
Internal Combustion ◽  
Low Noise ◽  
Simulation Design ◽  
Element Analysis

In recent years, the computer software and technology and the rapid development of finite element theory promote the internal combustion engine dynamic analysis process, greatly improving the application of the internal combustion engine complex parts of the finite element analysis of the efficiency of the precision and reliability of.CAE technology in engine design in the field of eventually allow designers to design modern engine with high performance, low emission, low fuel consumption and low noise, light weight and miniaturization.

Sign in / Sign up

Export Citation Format

Share Document