Frameworks for multi-core architectures: A comprehensive evaluation using 2D/3D image registration

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6566 LNCS, Issue , 2011, Pages 62-73

  Membarth, Richard ^a   Hannig, Frank ^a   Teich, Jürgen ^a   Körner, Mario ^b   Eckert, Wieland ^b  

^a UNIVERSITY OF ERLANGEN NUREMBERG   (Germany)

^b SIEMENS AG   (Germany)

Author keywords

2D 3D Image Registration; Cilk++; Evaluation; Frameworks; Medical Imaging; OpenCL; OpenMP; Parallelization; RapidMind; Threading Building Blocks

Indexed keywords

2D/3D IMAGE REGISTRATION; CILK++; EVALUATION; FRAMEWORKS; OPENCL; OPENMP; PARALLELIZATIONS; RAPIDMIND; THREADING BUILDING BLOCKS;

APPLICATION PROGRAMMING INTERFACES (API); IMAGE REGISTRATION; MEMORY ARCHITECTURE; PARALLEL PROCESSING SYSTEMS; STANDARDIZATION;

MEDICAL IMAGING;

EID: 79952036045     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-19137-4_6     Document Type: Conference Paper

References (17)

1. Amdahl, G.: Validity of the Single Processor Approach to Achieving Large Scale Computing Capabilities. In: Proceedings of the AFIPS Spring Joint Computing Conference, pp. 483-485. ACM, New York (1967)
2. Blumofe, R., Joerg, C., Kuszmaul, B., Leiserson, C., Randall, K., Zhou, Y.: Cilk: An Efficient Multithreaded Runtime System. ACM SigPlan Notices 30(8), 207-216 (1995)
3. Dagum, L., Menon, R.: OpenMP: An Industry Standard API for Shared-memory Programming. IEEE Computational Science & Engineering 5(1), 46-55 (2002)
4. Kegel, P., Schellmann, M., Gorlatch, S.: Using OpenMP vs. Threading Building Blocks for Medical Imaging on Multi-cores. In: Sips, H., Epema, D., Lin, H.-X. (eds.) Euro-Par 2009. LNCS, vol. 5704, pp. 654-665. Springer, Heidelberg (2009)
5. Kejariwal, A., Nicolau, A., Banerjee, U., Veidenbaum, A., Polychronopoulos, C.: Cache-Aware Iteration Space Partitioning. In: Proceedings of the 13th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), pp. 269-270. ACM, Salt Lake (2008)
6. Kubias, A., Deinzer, F., Feldmann, T., Paulus, S., Paulus, D., Schreiber, B., Brunner, T.: 2D/3D Image Registration on the GPU. International Journal of Pattern Recognition and Image Analysis 18(3), 381-389 (2008)
7. Leiserson, C.: The Cilk++ Concurrency Platform. In: Proceedings of the 46th Annual Design Automation Conference, pp. 522-527. ACM, New York (2009)
8. McCool, M., Du Toit, S.: Metaprogramming GPUs with Sh. AK Peters, Ltd, Stanford (2004)
9. Membarth, R., Hannig, F., Teich, J., Körner, M., Eckert, W.: Comparison of Parallelization Frameworks for Shared Memory Multi-Core Architectures. In: Proceedings of the Embedded World Conference, Nuremberg, Germany (March 2010)
10. Muchnick, S.: Advanced Compiler Design and Implementation. Morgan Kaufmann, San Francisco (1997)
11. Munshi, A.: The OpenCL Specification. Khronos OpenCL Working Group (2009)
12. Olivier, S., Prins, J.: Comparison of OpenMP 3.0 and Other Task Parallel Frameworks on Unbalanced Task Graphs. International Journal of Parallel Programming, 1-20 (2010)
13. RapidMind: RapidMind Development Platform Documentation. RapidMind Inc. (June 2009)
14. Reinders, J.: Intel Threading Building Blocks: Outfitting C++ for Multi-core Processor Parallelism. O'Reilly Media, Inc., Sebastopol (2007)
15. Trucco, E., Verri, A.: Introductory Techniques for 3-D Computer Vision. Prentice-Hall, New Jersey (1998)
16. Weese, J., Penney, G., Desmedt, P., Buzug, T., Hill, D., Hawkes, D.: Voxel-Based 2-D/3-D Registration of Fluoroscopy Images and CT Scans for Image-Guided Surgery. IEEE Transactions on Information Technology in Biomedicine 1(4), 284-293 (1997)
17. Wolfe, M.: High Performance Compilers for Parallel Computing. Addison-Wesley, Reading (1996)