论文信息 - Solving Irregular Problems through Parallel Irregular Trees

Solving Irregular Problems through Parallel Irregular Trees

This paper presents PIT, a library for the parallelization of irregular problems on distributed memory architectures. All the strategies underlying the definition of the library can be expressed in terms of operations on a PITree, a parallel version of the tree data structure oriented to irregular problems. We consider the application of PIT to two well known irregular problems: adaptive multigrid and hierarchical radiosity methods. Performance figures that prove the effectiveness of PIT are presented.

Laura Ricci | Paolo Mori | Fabrizio Baiardi

[1] Piet Hut,et al. A hierarchical O(N log N) force-calculation algorithm , 1986, Nature.

[2] Scott B. Baden,et al. A robust parallel programming model for dynamic non-uniform scientific computations , 1994, Proceedings of IEEE Scalable High Performance Computing Conference.

[3] Tony Field,et al. M-Tree: A Parallel Abstract Data Type for Block-Irregular Adaptive Applictions , 1997, Euro-Par.

[4] Paul S. Heckbert. Radiosity in Flatland , 1992, Comput. Graph. Forum.

[5] Scott B. Baden,et al. Dynamic Partitioning of Non-Uniform Structured Workloads with Spacefilling Curves , 1996, IEEE Trans. Parallel Distributed Syst..

[6] M. Berger,et al. Adaptive mesh refinement for hyperbolic partial differential equations , 1982 .

[7] James R. Larus,et al. Efficient support for irregular applications on distributed-memory machines , 1995, PPOPP '95.

[8] Donald P. Greenberg,et al. Modeling the interaction of light between diffuse surfaces , 1984, SIGGRAPH.

[9] William L. Briggs,et al. A multigrid tutorial, Second Edition , 2000 .

[10] Paul S. Heckhert,et al. Radiosity in Flatland , 1992 .

[11] William L. Briggs,et al. A multigrid tutorial , 1987 .

[12] Donald P. Greenberg,et al. An Efficient Radiosity Approach for Realistic Image Synthesis , 1986, IEEE Computer Graphics and Applications.

[13] Laura Ricci,et al. Integrating load balancing and locality in the parallelization of irregular problems , 2001, Future Gener. Comput. Syst..