While cloud computing has brought paradigm shifts to computing services, researchers and
developers have also found some problems inherent to its nature such as bandwidth …

Big data has revolutionized science and technology leading to the transformation of our
societies. High-performance computing (HPC) provides the necessary computational power …

In-situ (InS) server systems are typically deployed in special environments to handle InS
workloads which are generated from environmentally sensitive areas or remote places …

This paper presents a robust and efficient method for tracking topological features in time-
varying scalar data. Structures are tracked based on the optimal matching between …

Reducing the amount of data stored by simulations will be of utmost importance for the next
generation of large-scale computing. Accordingly, there is active research to shift analysis …

Recent years have seen an explosion of data volumes from a myriad of distributed sources
such as ubiquitous cameras and various sensors. The challenges of analyzing these …

In-situ analytics has lately been shown to be an effective approach to reduce both I/O and
storage costs for scientific analytics. Developing an efficient in-situ implementation, however …

With exascale computing on the horizon, reducing performance variability in data
management tasks (storage, visualization, analysis, etc.) is becoming a key challenge in …

Today's leadership computing facilities have enabled the execution of transformative
simulations at unprecedented scales. However, analyzing the huge amount of output from …

Data staging and in-situ/in-transit data processing are emerging as attractive approaches for
supporting extreme scale scientific workflows. These approaches improve end-to-end …