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

Applications running on leadership platforms are more and more bottlenecked by storage
input/output (I/O). In an effort to combat the increasing disparity between I/O throughput and …

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 …

The DOE Extreme-Scale Technology Acceleration Fast Forward Storage and IO Stack
project is going to have significant impact on storage systems design within and beyond the …

Severe I/O bottlenecks on High End Computing platforms call for running data analytics in
situ. Demonstrating that there exist considerable resources in compute nodes un-used by …

Emerging scientific application workflows are composed of heterogeneous coupled
component applications that simulate different aspects of the physical phenomena being …

Increasingly severe I/O bottlenecks on High-End Computing machines are prompting
scientists to process simulation output data online while simulations are running and before …

The ever increasing amount of data generated by scientific simulations coupled with system
I/O constraints are fueling a need for in-situ analysis techniques. Of particular interest are …

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

High performance computing systems are today composed of tens of thousands of
processors and deep memory hierarchies. The next generation of machines will further …