The proceedings contain 12 papers. The topics discussed include: fast approximation of persistence diagrams with guarantees;trigger happy: assessing the viability of trigger-based in situ analysis;high-quality and low...
ISBN:
(纸本)9781665432832
The proceedings contain 12 papers. The topics discussed include: fast approximation of persistence diagrams with guarantees;trigger happy: assessing the viability of trigger-based in situ analysis;high-quality and low-memory-footprint progressive decoding of large-scale particle data;amortised encoding for large high-resolution displays;portable and composable flow graphs for in situ analytics;an entropy-based approach for identifying user-preferred camera positions;parameter analysis and contrail detection of aircraft engine simulations;lossy compression for visualization of atmospheric data;and instrumenting multiphysics blood flow simulation codes for in situ visualization and analysis.
The proceedings contain 5 papers. The topics discussed include: sub-linear time sampling approach for large-scale datavisualization using reinforcement learning;speculative progressive raycasting for memory constrain...
ISBN:
(纸本)9798350330182
The proceedings contain 5 papers. The topics discussed include: sub-linear time sampling approach for large-scale datavisualization using reinforcement learning;speculative progressive raycasting for memory constrained isosurface visualization of massive volumes;a distributed-memory parallel approach for volume rendering with shadows;low-cost post hoc reconstruction of HPC simulations at full resolution;and towards adaptive refinement for multivariate functional approximation of scientific data.
The proceedings contain 12 papers. The topics discussed include: high-quality progressive alignment of large 3D microscopy data;a prototype for pipeline-composable task-based visualization algorithms;topological analy...
ISBN:
(纸本)9781665491563
The proceedings contain 12 papers. The topics discussed include: high-quality progressive alignment of large 3D microscopy data;a prototype for pipeline-composable task-based visualization algorithms;topological analysis of ensembles of hydrodynamic turbulent flows an experimental study;distributed hierarchical contour trees;angular-based edge bundled parallel coordinates plot for the visual analysis of large ensemble simulation data;hybrid image-/data-parallel rendering using island parallelism;new triggers for automatic camera placement over time;massive datavisualization techniques for use in virtual reality devices;exploration tool for effectively interpreting the visual metaphor process of sentiment visualization;toward bi-directional in situ visualization and analysis of blood flow simulations with dynamic deforming walls;and distributed volumetric neural representation for in situ visualization and analysis.
The proceedings contain 13 papers. The topics discussed include: fault diagnosis and insulation structure improvement on 550kV resin-impregnated paper oil-SF6 bushings;contingency analysis via SDP relaxations of the O...
ISBN:
(纸本)9781538606179
The proceedings contain 13 papers. The topics discussed include: fault diagnosis and insulation structure improvement on 550kV resin-impregnated paper oil-SF6 bushings;contingency analysis via SDP relaxations of the OPF problem;drying comparison of cassava flour through solar dryer and hybrid oven;model development for performance analysis of a spark ignition engine fueled with propane and octane;a study on the user-defined modeling of unified power flow controller in DSA;Very short-term bus reactive load forecasting models based on KDD s approach;influence of water droplets on the numerical simulation of a small gas turbine;and numerical investigation of the effects of ethanol addition on the performance and emission characteristic of CI diesel engine.
The reconstruction and novel view synthesis of dynamic scenes recently gained increased attention. As reconstruction from large-scale multi-view data involves immense memory and computational requirements, recent benc...
详细信息
The reconstruction and novel view synthesis of dynamic scenes recently gained increased attention. As reconstruction from large-scale multi-view data involves immense memory and computational requirements, recent benchmark datasets provide collections of single monocular views per timestamp sampled from multiple (virtual) cameras. We refer to this form of inputs as monocularized data. Existing work shows impressive results for synthetic setups and forward-facing real-world data, but is often limited in the training speed and angular range for generating novel views. This paper addresses these limitations and proposes a new method for full 360 degrees inward-facing novel view synthesis of non-rigidly deforming scenes. At the core of our method are: 1) An efficient deformation module that decouples the processing of spatial and temporal information for accelerated training and inference;and 2) A static module representing the canonical scene as a fast hash-encoded neural radiance field. In addition to existing synthetic monocularized data, we systematically analyze the performance on real-world inward-facing scenes using a newly recorded challenging dataset sampled from a synchronized large-scale multi-view rig. In both cases, our method is significantly faster than previous methods, converging in less than 7 minutes and achieving real-time framerates at 1 K resolution, while obtaining a higher visual accuracy for generated novel views.
Contour trees describe the topology of level sets in scalar fields and are widely used in topological dataanalysis and visualization. A main challenge of utilizing contour trees for large-scale scientific data is the...
详细信息
Contour trees describe the topology of level sets in scalar fields and are widely used in topological dataanalysis and visualization. A main challenge of utilizing contour trees for large-scale scientific data is their computation at scale using high-performance computing. To address this challenge, recent work has introduced distributed hierarchical contour trees for distributed computation and storage of contour trees. However, effective use of these distributed structures in analysis and visualization requires subsequent computation of geometric properties and branch decomposition to support contour extraction and exploration. In this work, we introduce distributed algorithms for augmentation, hypersweeps, and branch decomposition that enable parallel computation of geometric properties, and support the use of distributed contour trees as query structures for scientific exploration. We evaluate the parallel performance of these algorithms and apply them to identify and extract important contours for scientific visualization.
暂无评论