Distributed scheduling system and method for gpu watershed runoff simulation
A scheduling method and distributed technology, applied in resource allocation, multi-program device, program control design, etc., can solve the problems of reducing the efficiency of runoff simulation, reduce the amount of data exchange data, improve efficiency, and solve the problem of huge amount of calculation Effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0058] In a specific embodiment, the overall thinking adopted by the present invention is as follows: In order to improve the simulation accuracy of runoff and confluence, the present invention adopts a distributed hydrological model. First, the watershed is divided into grid sets with equal area and size according to a certain spatial resolution; on this basis, the process of runoff confluence is divided into time slices with equal time intervals. For each time slice, the grid is used as the unit for confluence calculation. Through the iteration of time slices, the process simulation of runoff and confluence in the watershed is completed. Considering the large amount of computation of the distributed hydrological model and the low performance of the CPU, a general-purpose computation is introduced to improve the computation efficiency.
[0059] In order to solve the problem of frequent video memory and memory data exchange when a single computer simulates the runoff confluen...
Embodiment approach
[0101] In order to improve the simulation accuracy of runoff and confluence, a distributed hydrological model is adopted. First, the watershed is divided into grid sets with equal area and size according to a certain spatial resolution; on this basis, the process of runoff confluence is divided into time slices with equal time intervals. For each time slice, the grid is used as the unit for confluence calculation. Through the iteration of time slices, the process simulation of runoff and confluence in the watershed is completed.
[0102] Considering the large amount of computation of the distributed hydrological model and the low performance of the CPU, a general-purpose computation is introduced to improve the computation efficiency. The runoff and inflow simulation supported by general computing requires that the runoff and inflow results of each grid unit have no influence on other grid units in a time slice, that is, the runoff and inflow calculation of the grid units can...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


