The Interoperable Technolgoies for Advanced Petascale Simulations (ITAPS) center is one of the mathematics enabling technologies centers in the Department of Energy'sScientific Discovery through Advanced Computing (SciDAC) program.
SciDAC applications have a demonstrated need for advanced software tools to manage the complexities associated with sophisticated geometry, mesh, and field manipulation tasks, particularly as computer architectures move toward the petascale. The Center for Interoperable Technologies for Advanced Petascale Simulations (ITAPS) will deliver interoperable and interchangeable mesh, geometry, and field manipulation services that are of direct use to SciDAC 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. Through SciDAC-1 funding, the ITAPS team developed and deployed a number of advanced technologies including front tracking, mesh quality improvement via smoothing and swapping, and adaptive mesh refinement (AMR), that were used by application scientists and provide ample evidence of the viability of this approach.
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Going forward, we will continue to develop the most promising of the technologies identified in SciDAC-1 and invest in critical new areas identified by SciDAC application teams. In particular, we will develop new geometry, mesh, and field services that support PDE-constrained design optimization on deforming geometries, mesh alignment, AMR-front tracking, verification, solution transfer operations, dynamic partitioning and other parallel tools for petascale simulations. Underlying these services are the common interfaces that provide data-structure neutral access to mesh, geometry, and field information. These interfaces are the key to providing uniform access to all ITAPS tools and to creating interoperability among ITAPS technologies. Using these technologies we will work with application scientists to develop the next generation of petascale simulation codes. In particular, we will continue our already strong collaborations in accelerator modeling, fusion, and microbial cell modeling and have identified new areas for collaboration in astrophysics, radiation transport, and groundwater flow modeling.
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