Reap the Benefits of the Evolving HPC Cloud

Harnessing the necessary high performance compute
power to drive modern biomedical research is a formidable
and familiar challenge throughout the life sciences. Modern
research-enabling technologies – Next Generation Sequencing
(NGS), for example – generate huge datasets that must be
processed. Key applications such as genome assembly, genome
annotation and molecular modeling can be data-intensive,
compute intensive, or both. Underlying high performance
computing (HPC) infrastructures must evolve rapidly to keep
pace with innovation. And not least, cost pressures constrain
both large and small organizations alike.
In such a demanding and dynamic HPC environment, Cloud
Computing(i) technologies, whether deployed as a private
cloud or in conjunction with a public cloud, represent a powerful
approach to managing technical computing resources. By
breaking down internal compute silos, by masking underlying
HPC complexity to the scientist-clinician researcher user
community, and by providing transparency and control to IT
managers, cloud computing strategies and tools help organizations
of all sizes effectively manage their HPC assets and
growing compute workloads that consume them.