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Abstract: As current trends in software development move toward more complex object-oriented programming, inlining has become a vital optimization that provides substantial performance improvements to C++ and Java programs. Yet, the aggressiveness of the inlining algorithm must be carefully monitored to effectively balance performance and code size. The state-of-the-art is to use profile information (associated with call edges) to guide inlining decisions. In the presence of virtual method calls, profile ... (Update)
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BibTeX entry: (Update)
K. Hazelwood and D. Grove. Adaptive online context-sensitive inlining. In Internetaional Symposium on Code Generation and Optimization, pages 253-264, San Francisco, CA, March 2003. http://citeseer.ist.psu.edu/article/hazelwood03adaptive.html More
@inproceedings{ hazelwood03adaptive,
author = {Kim Hazelwood and David Grove},
title = {Adaptive Online Context-Sensitive Inlining},
booktitle = {First Annual {IEEE}/{ACM} Interational Conference on Code Generation and Optimization},
pages = {253--264},
address = {San Francisco, CA},
month = {March},
year = {2003},
url = {citeseer.ist.psu.edu/article/hazelwood03adaptive.html} }
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