论文信息 - Roccom: an object-oriented, data-centric software integration framework for multiphysics simulations

Roccom: an object-oriented, data-centric software integration framework for multiphysics simulations

We describe an object-oriented software integration framework, Roccom, abstracted from our five years of experience in developing a complex, integrated code for rocket simulation. Roccom provides a flexible mechanism for inter-module data exchange and function invocation in parallel multiphysics simulations. It is designed to minimize user effort and code changes for integration, facilitate interoperability between different programming languages (in particular, C++ and Fortran 90), and enable plug-and-play of different implementations of physics and computer science modules in an integrated system. Its unique abstraction of distributed objects allows cleaner inter-module interfaces and maximizes concurrency in development of different modules. Our framework also provides a set of reusable service utilities that allow rapid prototyping of various coupling algorithms without sacrificing performance.

[1] Michael T. Heath,et al. Efficient and Robust Algorithm for Overlaying Nonmatching Surface Meshes , 2001, IMR.

[2] Marianne Winslett,et al. Flexible and efficient parallel I/O for large-scale multi-component simulations , 2003, Proceedings International Parallel and Distributed Processing Symposium.

[3] Jack J. Dongarra,et al. End-user Tools for Application Performance Analysis Using Hardware Counters , 2001, ISCA PDCS.

[4] J. S. Peery,et al. Experiences developing ALEGRA: A C++ coupled physics framework , 1998 .

[5] Jan Bosch,et al. Framework integration problems, causes, solutions , 1999, CACM.

[6] Miguel Castro,et al. Providing Persistent Objects in Distributed Systems , 1999, ECOOP.

[7] Laxmikant V. Kalé,et al. A Parallel Framework for Explicit FEM , 2000, HiPC.

[8] Kei Davis,et al. OVERTURE: An Object-Oriented Framework for High Performance Scientific Computing , 1998, Proceedings of the IEEE/ACM SC98 Conference.

[9] Tapio Salakoski,et al. Improving Object Integrity and Preventing Side Effects via Deeply Immutable References , 1999 .

[10] Scott R. Kohn,et al. Toward a Common Component Architecture for High-Performance Scientific Computing , 1999, HPDC.

[11] Ian T. Foster,et al. Supporting Efficient Execution in Heterogeneous Distributed Computing Environments with Cactus and Globus , 2001, ACM/IEEE SC 2001 Conference (SC'01).