The considerable interest in the high performance computing (HPC) community regarding
analyzing and visualization data without first writing to disk, ie, in situ processing, is due to …

Data reduction is increasingly being applied to scientific data for numerical simulations,
scientific visualizations and data analyses. It is most often used to lower I/O and storage …

Analyzing scientific datasets created from simulations on modern supercomputers is a
daunting challenge due to the fast pace at which these datasets continue to grow. Low cost …

The growing power and capacity of supercomputers enable scientific simulations at extreme
scale, leading to not only more accurate modeling and greater predictive ability but also …

The explosive growth in supercomputers capacity has changed simulation paradigms.
Simulations have shifted from a few lengthy ones to an ensemble of multiple simulations …

Abstract The Bay of Bengal (BoB) fosters several monsoon depressions and cyclones,
playing a crucial role in the Asian summer and winter monsoons. The capacity of the bay to …

In order to solve the difficulties of visualization and data storage caused by the huge volume
of com-putational fluid dynamics data, an in-situ streamline extraction and velocity field …

Recent advancements in data acquisition, storage, and computing power have enabled
scientists from various scientific and engineering domains to simulate more complex and …

Discrete event simulation is used to explore the robustness of queueing network models, a
set of powerful analytical techniques for evaluating computer system performance. These …

为了解决大规模计算流体力学数据量巨大引起的可视化和数据存储困难, 提出一种原位流线提取
和速度场压缩方法. 在计算流体数值模拟的原位, 首先使用均匀随机方法在流场中分布和生成 …