Performance assessment of parallel spectral analysis: Towards a practical performance model for parallel medical applications

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

Volumn 1593, Issue , 1999, Pages 430-439

  Munz, F ^a,b   Ludwig, T ^b   Ziegler, S ^a   Bartenstein, P ^a   Schwaiger, M ^a   Bode, A ^b  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Medical application; Network of workstations; Parallel kinetic modeling; Positron emission tomography; Practical performance prediction; PVM

Indexed keywords

DIAGNOSIS; IMAGE SEGMENTATION; MEDICAL APPLICATIONS; MEDICAL IMAGING; POSITRONS; SPECTRUM ANALYSIS;

APPLICATION CONTEXTS; KINETIC MODELING; NETWORK OF WORKSTATIONS; PARALLEL APPLICATION; PERFORMANCE ASSESSMENT; PERFORMANCE PREDICTION; POSITRON EMISSION TOMOGRAPHY (PET); REGION OF INTEREST;

POSITRON EMISSION TOMOGRAPHY;

EID: 84956865568     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0100604     Document Type: Conference Paper

References (14)

1. ALEXANDROV, A., IONESCU, M., SCHAUSER, K., and SCHEIMAN, C. LogGP: Incorporating Long Messages into the LogP Model. Proc. of the 7th Annual ACM Syrup. on Parallel Algorithms and Architectures (1995), 95-105.
2. ARABNIA, H. High-Performance Computing and Applications in Image Processing and Computer Vision. In High Performance Computing (1997), C. Polychronopoulos, K. Joe, K. Araki, and M. Amamiya, Eds., vol. 1336 of Lecture Notes in Computer Science, Springer-Verlag, p. 72.
3. CLARK, D., JACOBSON, V., ROMKEY, J., and SALWEN, H. An Analysis of TCP Processing Overhead. IEEE Communications Magazine (June 1989), 23-29.
4. CULLER, D., KARPAND, A., PATTERSON, D., SAHAY, A., SCHAUSSER, K., SANTOS, E., SUBRAMONIAN, R., and VON EICKEN, T. LogP: Towards a Realistic Model of Parallel Computation. In Proc. ACM Symp. on Principles and Practice of Parallel Programming (May 1993).
5. CUNNINGHAM, V. J., and JONES, T. Spectral Analysis of Dynamic PET Studies. Journal of Cerebral Blood Flow and Metabolism 13 (1993), 15-23.
6. FORTUNE, S, and WYLLIE, J. Parallelism in Random Access Machines. In Proceedings of the Tenth ACM Symposium Thcry of Computing (May 1978).
7. HOCKNEY, R. Performance Parameters and Bechmarking of Supercomputers. Parallel Computing 17 (1991), 1111-1130.
8. HOCKNEY, R. The Communication Challenge for MPPs: Intel Paragon and Meiko CS-2. Parallel Computing 20 (1994), 389-309.
9. HWANG, K., and Xu, Z. Scalable Parallel Computing. Mc Graw-Hill, 1998.
10. LAWSON, C. L., and HANSON, R. J. Solving Least Squares Problems. Prentice Hall Series in Automatic Computation. Prentice-Hall, Englewood Cliffs, N J, 1974.
11. MUNZ, F., STEPHAN, W., MAIER, U., LUDWIG, T., BODE, A., ZIEGLER, S., NEKOLLA, S., BARTENSTEIN, P., and SCHWAIGER, M. NOW Based Parallel Reconstruction of Functional Images. In Proceedings of the First Merged International Parallel Processing Symposium and Symposium on Parallel and Distributed Computing (Los Alaxaitos, California, USA, April 1998), B. Werner, Ed., IEEE Computer Society Technical Committee on Parallel Processing, pp. 210-214.
12. RUGINA, R., and SCHAUSER, K. E. Predicting the Running Times of Parallel Programs by Simulation. In Proceedings of the 12th International Parallel Processing Symposium and 9th Symposium on Parallel and Distributed Processing, Orlando, FL (April 1998).
13. SINGH, J. P., ROTHBERG, E., and GUPTA, A. Modelling Communication in Parallel Algorithms: A Fruitful Interaction between Theory and Systems? Proc. of the lOth Annual ACM Symposium on Parallel Algorithms and Architectures (1994).
14. VALIANT, L. A bridging model for parallel computation. Comm. of ACM 33, 8 (1990), 103-111.