Continuous compilation: A new approach to aggressive and adaptive code transformation

Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003

Volumn , Issue , 2003, Pages

  Childers, Bruce ^a   Davidson, Jack W ^b   Soffa, Mary Lou ^a  

^a Learning Research and Development Ctr   (United States)

^b University of Virginia   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COSINE TRANSFORMS; DISTRIBUTED PARAMETER NETWORKS; ECONOMIC AND SOCIAL EFFECTS; EMBEDDED SYSTEMS;

APPLICATION CODES; CODE IMPROVEMENT; CODE OPTIMIZATION; CODE TRANSFORMATION; COMPILER RESEARCH; CONTINUOUS COMPILATION; DYNAMIC OPTIMIZATION; STATIC OPTIMIZATION;

CODES (SYMBOLS);

EID: 84947264318     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPDPS.2003.1213375     Document Type: Conference Paper

References (20)

1. M. Arnold, S. Fink, V. Sarkar and P. Sweeney, "A comparative study of static and profile-based heuristics for inlining", ACM Workshop on Dynamic and Adaptive Optimization, pp. 52-64, 2000.
2. V. Bala, E. Duesterwald, and S. Banerjia, "Dynamo: A transparent dynamic optimization system", ACM Conf. on Programming Language Design and Implementation, pp. 1-12, 2000.
3. D. Burger and T. Austin, "The SimpleScalar tool set, version 2. 0", University of Wisconsin Computer Science Technical Report 1342, June 1997.
4. M. Burke, J. Choi, S. Fink, D. Grove, M. Hind, V. Sarkar et al., "The Jalapeno Dynamic Optimizing Compiler for Java", Proc. of Java '99, pp. 129-141, 1999.
5. C. Chambers and D. Ungar, "Making pure object-oriented languages practical", 6th Conf. on Object-Oriented Programming Systems, Languages, and Applications, pp. 1-15, 1991.
6. M. Cierniak, G-Y Lueh, and J. M. Stichnoth, "Practicing JUDO: Java under dynamic optimizations", ACM Conf. on Programming Language Design and Implementation, 2000.
7. K. Cooper, D. Subramanian, and L. Torczon, "Adaptive optimizing compilers for the 21st century", Los Alamos Computer Science Institute's 2001 Symposium, 2001.
8. K. Cooper, P. Schielke, and D. Subramanian, "Optimizing for reduced code space using genetic algorithms", Workshop on Lang., Compilers, and Tools for Embedded Systems, 1999.
9. P. Deutsch and A. M. Schiffman, "Efficient implementation of the smalltalk-80 system", 11th ACM Symp. on Principles of Programming Languages, pp. 297-302, 1984.
10. B. Grant, M. Philpose, M. Mock, C. Chambers, and S. Eggers, "An evaluation of staged run-time optimizations in DyC", ACM Conf. on Programming Language Design and Implementation, 1999.
11. J. S. Hu, M. Kandemir, J. Ramanujam, and A. Choudhary, "Improving cache locality by a combination of loop and data transformations", IEEE Trans. on Computers, Vol. 48, No. 2, February 1999.
12. T. Kistler and M. Franz, "Continuous program optimization: Design and evaluation", IEEE Trans. on Computers, pp. 549-566, June 2001.
13. A. Krall, "Efficient Java VM just-in-time compilation", Int'l. Conf. on Parallel Architectures and Compilation Techniques, pp. 202-212, 1998.
14. S. Meloan, "The Java HotSpot performance engine: An in-depth look", Sun Java Developer Connection, 1999.
15. R. Marlet, C. Consel, and P. Boinot, "Efficient incremental run-time specialization for free", ACM Conf. on Porgramming Language Design and Implementation, pp. 281-292, 1999.
16. M. Plezbert and K. Cytron, "Does 'just in time'='better late than never'?", ACM Symp. on Principles of Programming Languages, 1997.
17. M. Poletto, W. Hsieh, D. Engler, and M. Kasshoek, "'C and tcc: A language and compiler for dynamic code generation", ACM Trans. on Programming Languages and Systems, 1999.
18. D. Whitfield and M. L. Soffa, "An approach to ordering optimizing transformations", ACM Symp. on Principles and Practice of Parallel Programming, pp. 137-147, 1990.
19. B-S Yang, S-M Moon, S. Park et al, "LaTTe: A Java VM just-in-time compiler with fast and efficient register allocation", Int'l. Conf. on Parallel Architectures and Compilation Techniques, 1999.
20. M. Zhao, B. Childers, and M. L. Soffa, "FPO: A framework for predicting the impact of optimizations", technical report number TR-02-102, Department of Computer Science, University of Pittsburgh, November 2002.