The description of complex configuration is a difficult issue.We present a powerful technique for cluster identification and characterization.The scheme is designed to treat and analyze the experimental and/or simulat...The description of complex configuration is a difficult issue.We present a powerful technique for cluster identification and characterization.The scheme is designed to treat and analyze the experimental and/or simulation data from various methods.The main steps are as follows.We first divide the space using face or volume elements from discrete points.Then,we combine the elements with the same and/or similar properties to construct clusters with special physical characterizations.In the algorithm,we adopt an administrative structure of a hierarchy-tree for spatial bodies such as points,lines,faces,blocks,and clusters.Two fast search algorithms with the complexity lnN are generated.The establishment of the hierarchy-tree and the fast searching of spatial bodies are general,which are independent of spatial dimensions.Therefore,it is easy to extend the method to other fields.As a verification and validation,we applied this method and analyzed some two-dimensional and three-dimensional random data.展开更多
We demonstrate fast time-division color etectroholography using a multiple-graphics-processing-unit （GPU） cluster system with a spatial light modulator and a controller to switch the color of the reconstructing ligh...We demonstrate fast time-division color etectroholography using a multiple-graphics-processing-unit （GPU） cluster system with a spatial light modulator and a controller to switch the color of the reconstructing light. The controller comprises a universal serial bus module to drive the liquid crystal optical shutters. By using the controller, the computer-generated hologram （CGH） display node of the multiple-GPU cluster system synchronizes the display of the CGH with the color switching of the reconstructing light. Fast time-division color electroholography at 20 fps is realized for a three-dimensional object comprising 21,000 points per color when 13 GPUs are used in a multiple-GPU cluster system.展开更多
基金supported by the National Natural Science Foundation of China (Grant Nos 10702010 and 10775018)the Science Foundations of the Laboratory of Computational Physics and China Academy of Engineering Physics (Grant Nos.2009A0102005 and 2009B0101012)
文摘The description of complex configuration is a difficult issue.We present a powerful technique for cluster identification and characterization.The scheme is designed to treat and analyze the experimental and/or simulation data from various methods.The main steps are as follows.We first divide the space using face or volume elements from discrete points.Then,we combine the elements with the same and/or similar properties to construct clusters with special physical characterizations.In the algorithm,we adopt an administrative structure of a hierarchy-tree for spatial bodies such as points,lines,faces,blocks,and clusters.Two fast search algorithms with the complexity lnN are generated.The establishment of the hierarchy-tree and the fast searching of spatial bodies are general,which are independent of spatial dimensions.Therefore,it is easy to extend the method to other fields.As a verification and validation,we applied this method and analyzed some two-dimensional and three-dimensional random data.
基金partially supported by the Japan Society for the Promotion of Science through a Grant-in-Aid for Scientific Research(C)under Grant No.15K00153
文摘We demonstrate fast time-division color etectroholography using a multiple-graphics-processing-unit （GPU） cluster system with a spatial light modulator and a controller to switch the color of the reconstructing light. The controller comprises a universal serial bus module to drive the liquid crystal optical shutters. By using the controller, the computer-generated hologram （CGH） display node of the multiple-GPU cluster system synchronizes the display of the CGH with the color switching of the reconstructing light. Fast time-division color electroholography at 20 fps is realized for a three-dimensional object comprising 21,000 points per color when 13 GPUs are used in a multiple-GPU cluster system.
