Atomicity in Real-Time Computing

2012 ◽  
pp. 147-165
Author(s):  
Jan Vitek
Keyword(s):  
Real Time ◽  
Real Time Computing

The real-time computing of the Stirling formula based on hardware acceleration

2013 ◽  
Author(s):  
Jiyang Yu ◽  
Dan Huang ◽  
Siyang Zhao ◽  
Nan Pei ◽  
Huixia Cheng ◽  
...  
Keyword(s):  
Real Time ◽  
Hardware Acceleration ◽  
Stirling Formula ◽  
The Real ◽  
Real Time Computing

MODIFIED METHOD FOR REAL-TIME COMPUTING DENSE OPTICAL FLOW ON FPGA

2019 ◽  
Vol 70 ◽  
pp. 146-157
Author(s):  
A. V. Bratulin ◽  
◽  
M. B. Nikiforov ◽  
A. I. Efimov ◽  
◽  
...  
Keyword(s):  
Optical Flow ◽  
Real Time ◽  
Modified Method ◽  
Dense Optical Flow ◽  
Real Time Computing

Joint optimal checkpointing and rejuvenation policy for real-time computing tasks

2019 ◽  
Vol 182 ◽  
pp. 63-72 ◽  
Author(s):  
Gregory Levitin ◽  
Liudong Xing ◽  
Liang Luo
Keyword(s):  
Real Time ◽  
Real Time Computing

scholarly journals Fire propagation visualization in real time

2018 ◽  
Vol 18 (03) ◽  
pp. e27
Author(s):  
Monica Denham ◽  
Sigfrido Waidelich ◽  
Karina Laneri
Keyword(s):  
Real Time ◽  
Stochastic Simulations ◽  
Computational Tool ◽  
Graphic Processing Units ◽  
Ignition Point ◽  
Fire Propagation ◽  
Raster Maps ◽  
Real Time Computing ◽  
Computing Simulation ◽  
Critical Direction

Our motivation comes from the need of a tailored computational tool for simulation and prediction of forest fire propagation, to be used by firefighters in Patagonia, Argentina. Based on previous works on Graphic Processing Units (GPU) for fitting and simulating fires in our region, we developed a visualization interface for real time computing, simulation and prediction of fire propagation. We have the possibility of changing the ensemble of raster maps layers to change the region in which fire will propagate.The visualization platform runs on GPUs and the user can rotate and zoom the landscape to select the optimal view of fire propagation. Opacity of different layers can be regulated by the user, allowing to see fire propagation at the same time that underlying vegetation, wind direction and intensity. The ignition point can also be selected by the user, and firebreaks can be plotted while simulation is going on.After the performance of a high number of stochastic simulations in parallel in GPUs, the application shows a map of the final fire surface colored according to the probability that a given cell burns. In this way the user can visually identify the most critical direction for fire propagation, a useful information to stop fire optimizing resources, which is specially important when they are scarce like is the case of our Patagonia region.

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