Progress in combustion science and engineering has led to the generation of large amounts
of data from large-scale simulations, high-resolution experiments, and sensors. This corpus …

The next generation of supercomputers will break the exascale barrier. Soon we will have
systems capable of at least one quintillion (billion billion) floating-point operations per …

Over the last decade, ensemble visualization has witnessed a significant development due
to the wide availability of ensemble data, and the increasing visualization needs from a …

Extreme scale scientific simulations are leading a charge to exascale computation, and data
analytics runs the risk of being a bottleneck to scientific discovery. Due to power and I/O …

Visualization and analysis tools, techniques, and algorithms have undergone a rapid
evolution in recent decades to accommodate explosive growth in data size and complexity …

There is a widening gap between compute performance and the ability to store computation
results. Complex scientific codes are the most affected since they must save massive files …

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 …

With the onset of extreme-scale computing, I/O constraints make it increasingly difficult for
scientists to save a sufficient amount of raw simulation data to persistent storage. One …

Automation of the execution of computational tasks is at the heart of improving scientific
productivity. Over the last years, scientific workflows have been established as an important …

The advent of petascale computing applied to direct numerical simulation (DNS) of turbulent
combustion has transformed our ability to interrogate fine-grained 'turbulence …