Run-time optimization using dynamic performance prediction

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

Volumn 1823, Issue , 2000, Pages 280-289

  Alkindi, A M ^a   Kerbyson, D J ^a   Papaefstathiou, E ^b   Nudd, G R ^a  

^a UNIVERSITY OF WARWICK   (United Kingdom)

^b MICROSOFT RESEARCH   (United Kingdom)

Author keywords

Application steering; Dynamic performance prediction; FFTW; Performance modeling; Performance optimisation

Indexed keywords

BOTTLES; DECISION MAKING;

APPLICATION PERFORMANCE; DYNAMIC PERFORMANCE; FFTW; PERFORMANCE DEGRADATION; PERFORMANCE MODEL; PERFORMANCE OPTIMISATION; PERFORMANCE PREDICTION; QUALITY OF INFORMATION;

FORECASTING;

EID: 33745123881     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45492-6_28     Document Type: Conference Paper

References (16)

1. Foster, I., Kesselman, C.: The Grid, Morgan Kaufmann, (1998).
2. Gu, W., Eisenhauer, G., Schwan, K.: On-line Monitoring and Steering of Parallel Programs, Concurrency: Practice and Experience 10 9 (1998) 699-736.
3. Miller, B.P., Callaghan, M.D., Cargille, J.M., Hollingsworth, J.K., Irvin, R.B., Karavanic, K.L., Kunchithapadam, K., Newhall, T.: The Paradyn Parallel Performance Measurement Tools, IEEE Computer 28 11 (1995) 37-46.
4. DeRose, L., Zhang, Y., Reed, D.A.: SvPablo: A Multi-Language Performance Analysis System, in Proc. 10th Int. Conf. on Computer Performance, Spain (1998) 352-355.
5. Ramachandran, U., Venkateswaran, H., Sivasubramaniam, A., Singla, A.: Issues in Understanding the Scalability of Parallel Systems, in Proc. of the 1st Int. Workshop on Parallel Processing, Bangalore, India (December, 1994) 399-404.
6. Van Gemund, A.J.C., Reijns, G.L.: Predicting Parallel System Performance with Pamela, in Proc. 1st Annual Conf. of the Advanced School for Computing and Imaging,, Heijen, The Netherlands (1995) 422-431.
7. Balakrishnan, S., Nandy, S.K., van Gemund, A.J.C.: Modeling Multi-threaded Architectures in PAMELA for Real-time High-Performance Applications, in Proc. 4th Int. Conf. on High-Performance Computing, Los Alamitos, California, IEEE Computer Society 407-414 (December, 1997).
8. Frigo, M., Johnson S.G.: FFTW: An adaptive software architecture for FFT, In Proc. of the IEEE Int. Conf. on Acoustics Speech, and Signal Processing, 3, Seattle (1998) 1381-1384.
9. Frigo M.: A fast Fourier Transform Compiler. in Proc. of the ACM SIGPLAN Conf. on Programming Language Design and Implementation (PLDI’99), Atlanta (1999).
10. Nudd, G.R., Papaefstathiou, E., et al., A layered Approach to the Characterization of Parallel Systems for Performance Prediction, in Proc. of Performance Evaluation of Parallel Systems, Warwick (1993) 26-34.
11. Papaefstathiou, E., Kerbyson, D.J., Nudd, G.R., Atherton, T.J.: An overview of the CHIP3S performance prediction toolset for parallel systems, in: 8th ISCA Int. Conf. on Parallel and Distributed Computing Systems, Florida (1995) 527-533.
12. Perry, S.C., Kerbyson, D.J., Papaefstathiou, E., Grimwood, R., Nudd, G.R.: Performance Optimisation of Financial Option Calculations, To Appear in Parallel Computing, Elsvier North Holland (2000).
13. Smith, C.U.: Performance Engineering of Software Systems, Addison Wesley (1990).
14. Harper, J.S., Kerbyson, D.J., Nudd, G.R.: Analytical Modeling of Set-Associative Cache Behavior, IEEE Transactions on Computers 48 10 (1999) 1009-1024.
15. Wilson, R., French, R., Wilson, C., et al.: An Overview of the SUIF Compiler System, Technical Report, Computer Systems Lab Stanford University (1993).
16. Kerbyson, D.J., Papaefstathiou, E., Harper, J.S., Perry, S.C., Nudd, G.R.: Is Predictive Tracing Too Late for HPC Users?, in High Performance Computing, Kluwer Academic (1999) 57-67.