The size of large-scale scientific datasets created from simulations and computed on
modern supercomputers continues to grow at a fast pace. A daunting challenge is to analyze …

This paper presents a novel end-to-end framework for closed-form computation and
visualization of critical point uncertainty in 2D uncertain scalar fields. Critical points are …

Cosmological N-body simulation is an important tool for scientists to study the evolution of
the universe. With the increase of computing power, billions of particles of high space-time …

FTLE (Finite Time Lyapunov Exponent) computation is one of the standard approaches to
Lagrangian flow analysis. The main features of interest in FTLE fields are ridges that …

脑部神经纤维追踪整合单个体素内纤维的方向信息, 描绘全局的纤维走向分布,
因此单个体素的方向信息决定了纤维追踪结果的准确性和完整性, 而传统方法往往直接将体素主 …

Abstract Phase-Contrast Magnetic Resonance Imaging (PC-MRI) measures volumetric and
time-varying blood flow data, unsurpassed in quality and completeness. Such blood-flow …

As the era of exascale computing approaches, the need for effective, scalable, and flexible
data reduction techniques is becoming more and more prominent. As discussed in the …

Flow visualization is commonly used in studying fluid dynamics since fluids such as air,
water and wind have invisible flow patterns due to its transparent property. In this era of big …

The advent of high-performance supercomputers enables scientists to perform extreme-
scale simulations that generate millions of cells and thousands of time steps. Through …