Traditionally, distributed storage systems have relied upon the interfaces provided by the OS
kernel to interact with storage hardware. However, much research has shown that OSes …

Many scientists rely on indexing and query to identify trends and anomalies within extreme-
scale scientific data. Compressed bitmap indexing (eg, FastBit) is the go-to indexing method …

Iterative computing is pervasive in web applications, data mining and scientific computing.
Many parallel algorithms for such applications are synchronous algorithms which need strict …

Visualization—the use of visual elements to explore data, form hypotheses, or convey
conclusions—is an integral part of the scientific process. Starting from an initial exploration …

Traditional compute-centric scientific discovery has led to a growing gap between
computation power and storage capabilities. However, in the data explosion era, where data …

We are approaching a point in time when it will be infeasible to catalog and query data after
it has been generated. This trend has fueled research on in-situ data processing (ie …

In the previous chapter, we have introduced the motivation for a big data analysis system
and its essential components: data model and programming model. We have also clearly …

This thesis contributes from the perspective of task-based programming models to the efforts
of optimizing I/O intensive applications. Throughout this thesis, we propose programming …

In the scope of High Performance Computing (HPC), simulations for larger problems are
nowadays commonly run on highly parallel supercomputers producing immense amounts of …

Maximizing I/O Bandwidth for Out-of-Core HPC Applications on Homogeneous and
Heterogeneous Large-Scale Systems Page 1 Maximizing I/O Bandwidth for Out-of-Core HPC …