High-order stencil computations on multicore clusters

IPDPS 2009 - Proceedings of the 2009 IEEE International Parallel and Distributed Processing Symposium

Volumn , Issue , 2009, Pages

  Peng, Liu ^a   Seymour, Richard ^a   Nomura, Ken Ichi ^a   Kalia, Rajiv K ^a   Nakano, Aiichiro ^a   Vashishta, Priya ^a   Loddoch, Alexander ^b   Netzband, Michael ^b   Volz, William R ^b   Wong, Chap C ^b  

^a University of Southern California ^*  (United States)

^b CHEVRON ENERGY TECHNOLOGY COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CELL BROADBAND ENGINE; CODE TRANSFORMATION; CRITICAL SECTION-FREE; DATA LAYOUTS; DIAGONALLY DOMINANT; DUAL REPRESENTATION; ELEMENT VECTORS; FINITE DIFFERENCE TIME-DOMAIN; FLUID FLOW SIMULATION; HIGH-ORDER; IBM BLUEGENE/L; LATTICE-BOLTZMANN METHOD; LOOP UNROLLING; MATRIX TRANSPOSE; MEMORY ACCESS; MULTI-CORE CLUSTER; MULTI-CORE PROCESSOR; MULTI-THREADING; OPTIMIZATION TECHNIQUES; PARALLEL EFFICIENCY; PARALLELIZATIONS; REGISTER FILES; SCIENTIFIC AND ENGINEERING APPLICATIONS; SINGLE-INSTRUCTION MULTIPLE-DATA; SPATIAL DECOMPOSITIONS; STENCIL COMPUTATIONS;

COSINE TRANSFORMS; DISTRIBUTED PARAMETER NETWORKS; FINITE DIFFERENCE TIME DOMAIN METHOD; FLOW OF FLUIDS; FLOW SIMULATION; MESSAGE PASSING; METHOD OF MOMENTS; SEISMIC WAVES; TIME DOMAIN ANALYSIS;

MULTITASKING;

EID: 70449975635     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPDPS.2009.5161011     Document Type: Conference Paper

References (23)

1. L. Renganarayanan et al., in Proc. of Int'l Parallel and Distributed Processing Symp. (IPDPS) (IEEE, 2007).
2. A. Sawdey and M.T.O'Keefe, in Proc. of Int'l Workshop on Languages and Compilers for Parallel Computing (LCPC, 1997).
3. A. Taflove and S.C.Hagness, Computational Electrodynamics: The Finite-Difference Time-Domain Method, 3rd Ed. (Artech House Publisher, 2005).
4. A. Nakano, P. Vashishta, and R. K. Kalia, Comput Phys Commun 83, 181 (1994).
5. R. Hararlick and L. Shapiro, Computer and Robot Vision (Addision Wesley, 1992).
6. M. Paleczny, K. Kennedy, and C. Koelbel, Technical Report, Rice University, 94509S (1994).
7. R. Schreiber and J. Dongarra, Technical Report, University of Tennessee (1990).
8. F. Desprez et al., Journal of Information Science and Engineering 14, 167 (1998).
9. K. Kamil et al., in Proc. of Workshop on Memory System Performance (MSP) (ACM, 2006).
10. A. J. C. Ladd and R. Verberg, J Stat Phys 104, 1191 (2001).
11. L. Peng et al., Lecture Notes in Computer Science 5168, 763 (2008).
12. A. Stathopoulos et al., Comput Sci Eng 2, 19 (2000).
13. F. Shimojo et al., Phys Rev B 77, 085103 (2008).
14. J. A. Kahle et al., IBM Journal of Research Development 49, 589 (2005).
15. D. A. Bader et al., Parallel Computing 33, 720 (2007).
16. S. Williams et al., in Proc. of Int'l Parallel and Distributed Processing Symp. (IPDPS) (IEEE, 2008).
17. G. Rivera and C. Tseng, in Proc. of Supercomputing (SC00) (IEEE/ACM, 2000).
18. M. Frigo and V. Strumpen, in Proc. of Annual Int'l Conf. on Supercomputing (ACM, 2005).
19. D. Wonnacott, in Proc. of Int'l Parallel and Distributed Processing Symp. (IPDPS) (IEEE, 2000).
20. S. Krishnamoorthy et al., in Proc. of SIGPLAN (ACM, 2007).
21. K. Datta et al., in Proc. of Supercomputing (SC08) (IEEE/ACM, 2008).
22. D. Nuzman, I. Rosen, and A. Zaks, in Proc. of Conf. on Programming Language Design and Implementation (PLDI) (ACM, 2004).
23. M. Gschwind et al., IEEE Micro 26, 10 (2006).