|
|
|
Federico Piscaglia and Federico Ghioldi
We introduce algorithmic advancements designed to expedite simulations in OpenFOAM using GPUs. These developments include the following. (a) The amgx4Foam library, which connects the open-source AmgX library from NVIDIA to OpenFOAM. Matrix generation, in...
ver más
|
|
|
|
|
|
|
Riad Ibadulla, Thomas M. Chen and Constantino Carlos Reyes-Aldasoro
This paper describes the transformation of a traditional in silico classification network into an optical fully convolutional neural network with high-resolution feature maps and kernels. When using the free-space 4f system to accelerate the inference sp...
ver más
|
|
|
|
|
|
|
Tiexiang Mo and Guodong Li
Many large-scale water transmission projects, such as China?s South-to-North Water Transfer Project, are hundreds of kilometers long and need real-time regulation applications for management and control. This requires the calculation model to have higher...
ver más
|
|
|
|
|
|
|
Guigui Wang, Shihan Tan, Ge Song and Sheng Wang
The CBATS (carrier-based aircraft take-off and landing training system) is an important application of virtual reality technology in the simulation field. Large-scale, real-time ocean simulations are the biggest challenge to the authenticity of the visua...
ver más
|
|
|
|
|
|
|
Youkou Dong, Dingtao Yan and Lan Cui
The discrete element method (DEM), a discontinuum-based method to simulate the interaction between neighbouring particles of granular materials, suffers from intensive computational workload caused by massive particle numbers, irregular particle shapes, ...
ver más
|
|
|
|
|
|
|
Seojin Jang, Wei Liu and Yongbeom Cho
Owing to their high accuracy, deep convolutional neural networks (CNNs) are extensively used. However, they are characterized by high complexity. Real-time performance and acceleration are required in current CNN systems. A graphics processing unit (GPU)...
ver más
|
|
|
|
|
|
|
Yuhao Huo, Anran Yang, Qingren Jia, Yebin Chen, Biao He and Jun Li
Oblique photogrammetry models are indispensable for implementing digital twins of cities. Geographic information system researchers have proposed plenty of methods to load and visualize these city-scaled scenes. However, when the area viewed changes quic...
ver más
|
|
|
|
|
|
|
Petr Kriz,Jiri Prinosil,Martin Buchta
Pág. 7 - 12
Today, modern, powerful, and relatively available computer technology allows the proposal of real-time camera systems working with several video streams. There is also a permanent tendency to increase image resolution, what can be useful for example in s...
ver más
|
|
|
|
|
|
|
Yuzhu Wang, Yuan Zhao, Jinrong Jiang and He Zhang
Graphics processing unit (GPU)-based computing for climate system models is a longstanding research area of interest. The rapid radiative transfer model for general circulation models (RRTMG), a popular atmospheric radiative transfer model, can calculate...
ver más
|
|
|
|
|
|
|
Dongbo Shi, Lei Sun and Yonghui Xie
In this research, a two-stage deep convolutional neural network is proposed to predict the off-design performance of a S-CO2 turbine based on field reconstruction. Once the deep model is well-trained, the calculation with graphics processing unit (GPU)-a...
ver más
|
|
|
|