We are investigators at the Center for Computation and Technology (CCT), LSU. Our research interest is to develope high-performance and distributed computing strategies for large scale scientfic applications. In particular, biological applications such as Next-generation sequencing analytics, molecular simulations, and advanced sampling are the major topics aimed by the developed strategies. HPC has been a key role for supporting large scale applications, and distributed computing strategies have been increasingly becoming critical, in particular, data intensive applications and BigData challenges. Currently, we focus on specific reesearch topics described below. You can contact us with e-mails. jhkim@cct.lsu.edu, nykim@cct.lsu.edu
Science gateways are effective means for collaborative research activities with the capability to utilize large scale High-performance computing (HPC) resources and databases located in many different places. Gateways lower significantly barriers associated with all kinds of complexities associated with accessing and such resources and data sets, and eventually facilitate scientific discovery of an individual researcher. While most of successful gateways are concerned about large scale compute intensive scientific applications, gateway is also an attractive method for BigData projects. We have been developing a gateway architecture along with collaborators and the schematic is shown here. Our approach provides an effective way to develop a new science gateway which is capable of the seamless integration of distributed resources and databases, while the development cycle is reletively shorter due to our design strategy to build interoperable, distributed, adative, and user-friendly research cyberinfrastructure.
