In this position paper, we argue that the loosely coupled in situ processing paradigm will
play an important role in high performance computing for the foreseeable future. Loosely …

The rapid advancement in scientific simulations and experimental facilities has resulted in
the generation of vast amounts of data at unprecedented scales. The analysis and …

One of the primary challenges facing scientists is extracting understanding from the large
amounts of data produced by simulations, experiments, and observational facilities. The use …

High performance computing applications are producing increasingly large amounts of data
and placing enormous stress on current capabilities for traditional post-hoc visualization …

Scientific visualization for exascale computing is very likely to require in situ processing.
Traditional simulation checkpointing and post hoc visualization will likely be unsustainable …

With this work, we explore the feasibility of using in situ data binning techniques to achieve
significant data reductions for particle data, and study the associated errors for several post …

In situ visualization is increasingly necessary to address I/O limitations on supercomputers.
With the increasing heterogeneity of supercomputer design, efficient and cost effective use …

In situ visualization and analysis is a valuable yet under utilized commodity for the
simulation community. There is hesitance or even resistance to adopting new …

Data sizes are becoming a critical issue particularly for HPC applications. We have
developed a user-driven lossy wavelet-based storage model to facilitate the analysis and …