The combination of heterogeneous computing and cloud computing is emerging as a
powerful new paradigm to meet the requirements for high-performance computing (HPC) …

Scalable solutions for computing and storage are a necessity for the timely processing and
management of big data. In the last several decades, High-Performance Computing (HPC) …

Cloud computing offers many advantages to researchers and engineers who need access to
high performance computing facilities for solving particular compute-intensive and/or large …

For a long time, High Performance Computing (HPC) has been critical for running large-
scale modeling and simulation using numerical models. The big data analytics domain …

The explosion of the data both in the biomedical research and in the healthcare systems
demands urgent solutions. In particular, the research in omics sciences is moving from a …

The dawn of exascale computing and its convergence with big data analytics has greatly
spurred research interests. The reasons are straightforward. Traditionally, high performance …

Biomedical data are growing exponentially in both volume and levels of complexity, due to
the rapid advancement of technologies and research methodologies. Analyzing these large …

Many scientific problems depend on the ability to analyze and compute on large amounts of
data. This analysis often does not scale well, its effectiveness hampered by the increasing …

During the past decade, data-driven science and engineering have emerged as a key
paradigm for performing scientific research, enabling innovations through new kinds of …

High performance computing (HPC) clouds are becoming an alternative to on-premise
clusters for executing scientific applications and business analytics services. Most research …