Browse SciDAC Centers and Institutes

    Development of a collection of algorithmic and software components that can be assembled to simulate a broad range of complex multicomponent physical systems in which partial differential equations plays a central role. Specifically, the goal of APDEC is to enable the agile development of high-performance simulation codes for complex multiphysics and multiscale applications that typically require adaptive mesh refinement.
    Development of technologies for an efficient and reliable data placement within a distributed high-performance environment and deployment of services for high-performance processing of computation and data analysis requests from many remote clients. The center targets performance and functionality, and focuses on end-to-end concerns, including file system to file system transfers, and integration with user application tools.
    Development of system software, libraries, compilers, and tools to increase the productivity of computational scientists and performance of applications on leadership computing platforms. Topic workshops to engage researchers in the challenges of leadership computing; collaborations with computational scientists for code development on leadership platforms.
    The Institute for Combinatorial Scientific Computing and Petascale Simulations (CSCAPES, pronounced "seascapes") seeks to accelerate the development and deployment of fundamental enabling technologies in high performance computing, by creating algorithms and software tools for key combinatorial problems in scientific computing at the petascale. In addition, CSCAPES attempts to foster the next generation of researchers capable of effectively applying combinatorial techniques to scientific computing.
    The mission of the DOE SciDAC-2 Earth System Grid Center for Enabling Technologies (ESG-CET) project is to provide climate researchers worldwide with access to data, information, models, analysis tools, and computational resources required to make sense of enormous climate simulation datasets.
    The Center for Interoperable Technologies for Advanced Petascale Simulations (ITAPS) delivers interoperable and interchangeable mesh, geometry, and field manipulation services that are of direct use to scientific applications. The premise of our technology development goal is that such services can be provided as libraries that can be used with minimal intrusion into application codes.
    Development and promotion of cutting edge visualization technologies to analyze vast amount of complex data produced by scientific simulation applications and to enable knowledge discovery at extreme scales. Engagement with a range of application partners including earthquake simulation, hydrology, climate, astrophysics, fusion, and turbulence.
    Development of high performance storage solutions for large scale computer simulations, by bringing together high performance file and storage system expertise. The institute seeks to identify and provide solutions for the storage capacity, performance, concurrency, reliability, availability and manageability for applications at scale.
    Understanding of key factors in scientific codes and computer systems that affect performance; development of models that accurately predict performance; development of tools for performance monitoring, modeling and optimization; development of technology for automatic performance tuning; transfer of performance analysis technology to end users.
    Development of advanced data management technologies. The first layer is located immediately on top of hardware, operating systems, file systems, and mass storage systems, and provides parallel data access technology and transparent access to archival storage. The second layer provides indexing, feature identification, and parallel statistical analysis technology. The third layer provides capabilities for the composition of scientific workflows from the components in the previous layer.
    Development of technology to enable the modularization and deployment of large applications, encompassing software components from within and across diverse disciplines, while making a commitment to performance. The center builds upon the Common Component Architecture (CCA) effort, which is a component model targeted to the needs of high-performance scientific computing.
    The TOPS ("Towards Optimal Petascale Simulations") project responds directly to the needs of scientific applications by developing, demonstrating, and disseminating scalable solver software. The TOPS agenda addresses one of the chief challenges of petascale simulation: solvers whose scaling lags the rest of the simulation, and several other challenges relating to the usability of sophisticated solvers.
    Leveraging of scientific visualization and analytics software tools as an enabling technology for increasing scientific productivity and insight. The center seeks to respond directly to challenges posed by vast collections of complex data, by adapting, extending, creating when necessary and deploying visualization and data understanding technologies for applications of interest to DOE.
    The Open Science Grid (OSG) advances science through open distributed computing. The OSG is a multi-disciplinary partnership to federate local, regional, community and national cyberinfrastructures to meet the needs of research and academic communities at all scales.
    Page Updated: Tue Oct 4 13:05:27 2011 (btg)-R121