This paper gives a brief introduction to the emergency handling of Tangjiashan barrier lake.Some technologies for the application of geological and topographical data are summarized and the mechanism of formation of a...This paper gives a brief introduction to the emergency handling of Tangjiashan barrier lake.Some technologies for the application of geological and topographical data are summarized and the mechanism of formation of a barrier lake is analyzed.Based on the safety status evaluation,the dam breach flood point is calculated.The paper concludes with discussion of the practical effects of emergency handling scenarios and different drainage channel designs.展开更多
Deep images store multiple fragments perpixel,each of which includes colour and depth,unlike traditional 2D flat images which store only a single colour value and possibly a depth value.Recently,deep images have found...Deep images store multiple fragments perpixel,each of which includes colour and depth,unlike traditional 2D flat images which store only a single colour value and possibly a depth value.Recently,deep images have found use in an increasing number of applications,including ones using transparency and compositing.A step in compositing deep images requires merging per-pixel fragment lists in depth order;little work has so far been presented on fast approaches.This paper explores GPU based merging of deep images using different memory layouts for fragment lists:linked lists,linearised arrays,and interleaved arrays.We also report performance improvements using techniques which leverage GPU memory hierarchy by processing blocks of fragment data using fast registers,following similar techniques used to improve performance of transparency rendering.We report results for compositing from two deep images or saving the resulting deep image before compositing,as well as for an iterated pairwise merge of multiple deep images.Our results show a 2 to 6 fold improvement by combining efficient memory layout with fast register based merging.展开更多
文摘This paper gives a brief introduction to the emergency handling of Tangjiashan barrier lake.Some technologies for the application of geological and topographical data are summarized and the mechanism of formation of a barrier lake is analyzed.Based on the safety status evaluation,the dam breach flood point is calculated.The paper concludes with discussion of the practical effects of emergency handling scenarios and different drainage channel designs.
文摘Deep images store multiple fragments perpixel,each of which includes colour and depth,unlike traditional 2D flat images which store only a single colour value and possibly a depth value.Recently,deep images have found use in an increasing number of applications,including ones using transparency and compositing.A step in compositing deep images requires merging per-pixel fragment lists in depth order;little work has so far been presented on fast approaches.This paper explores GPU based merging of deep images using different memory layouts for fragment lists:linked lists,linearised arrays,and interleaved arrays.We also report performance improvements using techniques which leverage GPU memory hierarchy by processing blocks of fragment data using fast registers,following similar techniques used to improve performance of transparency rendering.We report results for compositing from two deep images or saving the resulting deep image before compositing,as well as for an iterated pairwise merge of multiple deep images.Our results show a 2 to 6 fold improvement by combining efficient memory layout with fast register based merging.
