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 …

We present a comprehensive survey on parallel I/O in the high-performance computing
(HPC) context. This is an important field for HPC because of the historic gap between …

Computer simulations are growing in sophistication and producing results of ever greater
fidelity. This trend has been enabled by advances in numerical methods and increasing …

This work compares the two major paradigms for doing in situ visualization: in-line, where
the simulation and visualization share the same resources, and in-transit, where simulation …

We analyze the opportunities for in-transit visualization to provide cost savings compared to
in-line visualization. We begin by develo** a cost model that includes factors related to …

High-Performance Computing (HPC) systems provide input/output (IO) performance growing
relatively slowly compared to peak computational performance and have limited storage …

In the era of data-intensive computing, large-scale applications, in both scientific and the
BigData communities, demonstrate unique I/O requirements leading to a proliferation of …

Performance measurement of parallel algorithms is well studied and well understood.
However, a flaw in traditional performance metrics is that they rely on comparisons to serial …

As computer simulations continue to grow in size and complexity, they present a particularly
challenging class of big data problems. Many application areas are moving toward exascale …

Turbidity currents are underflows responsible for sediment deposits that generate geological
formations of interest for the oil and gas industry. LibMesh-sedimentation is an application …