Research On Parallel Computing And Rendering Of Electromagnetic Environment Base On PC Cluster

With the wide application of electromagnetic in modern weapon systems, theinformation control which is based on electromagnetic has become the key factor of themodern war. So how to describe this environment’s distribution and its ability quicklyand racily has become an important direction of research in this field. The fastnumerical computation and visualization methods for3D space such as complexelectromagnetic environment include parallel computing and rendering method basedon high-performance computer or graphics workstations, general computation base onGPU and parallel method on PC cluster. By reason of the low barrier for entry, the lowcost and the great expansibility, PC cluster has become more and more popular withresearchers and become a research focus of the field in parallel computing andrendering.Currently，how to describe the radar’s detectability and wireless communicationnet’s ability has became two main directions in electromagnetic environment research.Based on the two directions, this thesis focuses on how to realize parallel computationand rendering of complex electromagnetic environment on PC cluster, and the researchwork consists of parallel computing of complex electromagnetic environment, parallelisosurface extracting and rendering of3D scalar field, parallel direct volume renderingand PC cluster environment optimization. In detail, the major work and the maincontributions of this thesis are described as follows:1) Proposed a3D scalar field data structure for common electromagneticenvironment and designed two parallel computing methods for radar net’s probability ofdetection and communication’s distribution of electromagnetic radiation. On the basis ofthese theories, a parallel computing framework for complex electromagneticenvironment is built.2) According to the characteristics of Isosurface Rendering, a Parallel IsosurfaceRendering method based on Sort-Last is proposed. This method adopts static taskallocation in load balance and designs a dynamic time-based adaptive statisticalDirect-Send image synthesis algorithm in the image synthesis stage.3) In allusion to the characteristics of Light projection for direct volume rendering,we propose a parallel direct volume rendering method based on Sort-First model. Thismethod designs a task allocation algorithm based on the weight of the screen area, andcan achieve better load balancing performance in image composing.4) In PC Cluster, different node has different ability, and different sence is fit fordifferent cluster size. According to these characteristics, we proposed an optimizedcombination method for PC cluster environment. In this method, we use the timecomplexity of the current scene to achieve the optimal size of the current cluster environment. A node-based load balancing method is also proposed in order to solve theload imbalance caused by the difference between nodes.5) In the PC cluster parallel environment, we designed and implemented aprototype parallel computing and visualization system-ParaEME, this system inheritsthe results of this thesis and validates the methods in the thesis. As an effective parallelcomputing and rendering solution on PC cluster, ParaEME can provide an impactfulreference for common scientific computing and visualization on PC cluster.