NCSA HPC Technology Transfer to KISTI
The National Center for Supercomputing Applications (NCSA) is developing cyberenvironments to enable scientists and engineers to take full advantage of cyber-resources to drive scientific and engineering advances. Cyberenvironments will integrate distributed computing resources and data into end-to-end scientific processes, providing boosted productivity and enabling cyber-discovery. NCSA is leading the development of key cyberenvironment technologies including Bard, Seige, the Digital Synthesis Framework (DSF), Tupelo, the Parameterized Workflow Engine (PWE), ELF, and Ogrescript that will help drive future innovation. Bard, Siege and DSF are User Interface (UI) Toolkits that provide a consistent UI for building applications that can utilize disparate computing resources. Tupelo is a semantic content library based on semantic web technologies that manages data and metadata. PWE is a workflow management system that has been developed over a period of eight years for supporting high-performance applications in meteorology, chemical engineering, astronomy and even the analysis of financial markets. ELF is a robust container designed to support scripted applications using its native scripting language, Ogrescript, in a wide variety of environments, from desktop applications to high performance computing applications.
Examples where these robust technologies have been deployed and tested include MAEviz, an earthquake disaster management application, LEAD, a HPC weather simulation project, and Cyberintegrator, a workflow environment for integrating data sources and invoking models to produce outputs that can be visualized in desktop and web environments. These projects demonstrate how components of the NCSA software stack can be bundled and extended to meet the needs of each application for the Korea Institute of Science and Technology Information (KISTI)
Objectives
- Transfer current cutting-edge technology developed at NCSA to KISTI. The list of technologies in the scope of this project is identified in section 2 and 3.
- Build a prototype system to provide a user-friendly environment for high-performance computing (HPC) resources.
- Build a prototype platform to assist with building stand-alone applications in support of HPC.
