API for runtime code patching

International Journal of High Performance Computing Applications

Volumn 14, Issue 4, 2000, Pages 317-329

  Buck, Bryan ^a   Hollingsworth, Jeffrey K ^a,b  

^a UNIVERSITY OF MARYLAND   (United States)

^b A V Williams Building ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY CODES; COMPUTER SOFTWARE; DATA STRUCTURES; PROGRAM COMPILERS; PROGRAM DEBUGGING; SUBROUTINES;

APPLICATION PROGRAM INTERFACE (API); BINARY INSTRUMENTATION PROGRAMS; POSTCOMPILATION; PROGRAM MANIPULATION TOOL; RUNTIME CODE PATCHING;

INTERFACES (COMPUTER);

EID: 0034543798     PISSN: 10943420     EISSN: None     Source Type: Journal    
DOI: 10.1177/109434200001400404     Document Type: Article

References (15)

1. Brown, J. S. 1992. The application of code instrumentation technology in the Los Alamos debugger. Technical report, Los Alamos National Laboratory, New Mexico.
2. Diniz, P., and Rinard, M. 1997. Dynamic feedback: An effective technique for adaptive computing. In Programming languages design and implementation (PLDI), 71-84. Las Vegas, NV: ACM.
3. Engler, D. R., Hsieh, W. C., and Kaashoek, M. F. 1996. 'C: A language for high-level, efficient, and machine-independent dynamic code generation. Paper presented at POPL 96: The 23rd ACM SIGPLAN-SIGACT Symposium on Principles of Programming, January, St. Petersburg Beach, FL.
4. Hansen, G. J., Linthicum, C. A., and Brooks, G. 1990. Experience with a performance analyzer for multithreaded application. Paper presented at the 1990 International Conference on Supercomputing, June, Amsterdam.
5. Hollingsworth, J. K. 1998. Critical path profiling of message passing and shared-memory programs. IEEE Transactions on Parallel and Distributed Computing 9 (10): 1029-1040.
6. Hollingsworth, J. K., and Keleher, P. J. 1998. Prediction and adaptation in active harmony. Paper presented at the 7th International Symposium on High Performance Distributed Computing, July, Chicago.
7. Hollingsworth, J. K., Miller, B. P., and Cargille, J. 1994. Dynamic program instrumentation for scalable performance tools. Paper presented at the 1994 Scalable High-Performance Computing Conference, May, Knoxville, TN.
8. Hollingsworth, J. K., Miller, B. P., Goncalves, M.J.R., Nairn, O., Xu, Z., and Zheng, L. 1997. MDL: A language and compiler for dynamic program instrumentation. Paper presented at the International Conference on Parallel Architectures and Compilation Techniques (PACT), November, San Francisco.
9. Larus, J. R. 1990. Abstract execution: A technique for efficiently tracing programs. Software Practice and Experience 20 (12): 1241-1258.
10. Larus, J. R., and Schnarr, E. 1995. EEL: Machine-independent executable editing. In Programming languages design and implementation (PLDI), 291-300. La Jolla, CA: ACM.
11. Miller, B. P., Callaghan, M. D., Cargille, J. M., Hollingsworth, J. K., Irvin, R. B., Karavanic, K. L., Kunchithapadam, K., and Newhall, T. 1995. The Paradyn parallel performance measurement tools. IEEE Computer 28 (11): 37-46.
12. Pase, D. M. 1998. Dynamic Probe Class Library (DPCL): Tutorial and Reference Guide [Online]. Available: http://www. ptools.org/projects/dpcl/tutref.ps.
13. Romer, T., Voelker, G., Lee, D., Wolman, A., Wong, W., Levy, H. H., and Bershad, B. 1997. Instrumentation and optimization of Win32/Intel executables using Etch. Paper presented at the USENIX Windows NT Workshop, August, Seattle, WA.
14. Srivastava, A., and Eustace, A. 1994. ATOM: A system for building customized program analysis tools. Paper presented at the SIGPLAN Conference on Programming Language Design and Implementation, May, Orlando, FL.
15. System performance evaluation cooperative. 1993. Capacity Management Review 21 (8): 4-12.