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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mingzhou Zhou Bo Wu Yufei Ding Xipeng Shen |
| Copyright Year | 2013 |
| Description | Author affiliation: Comput. Sci. Dept., Coll. of William & Mary, Williamsburg, VA, USA (Mingzhou Zhou; Bo Wu; Yufei Ding; Xipeng Shen) |
| Abstract | Offline program profiling is costly, especially when software update is frequent. In this paper, we initiate a systematic exploration in cross-version program profile migration, which tries to effectively reuse the valid part of the behavior profiles of an old version of a software for a new version. We explore the effects imposed on profile reusability by the various factors in program behaviors, profile formats, and impact analysis, and introduce ProfMig, a framework for flexible migrations of various profiles. We demonstrate the effectiveness of the techniques on migrating loop trip-count profiles and dynamic call graphs. The migration saves significant (48-67% on average) profiling time with less than 10% accuracy compromised for most programs. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 1 |
| Ending Page | 12 |
| File Size | 2624096 |
| Page Count | 12 |
| File Format | |
| ISBN | 9781467355247 |
| e-ISBN | 9781467355254 |
| DOI | 10.1109/CGO.2013.6494984 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-02-23 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Software Complexity theory Hardware Switches Context Merging Accuracy Change Impact Analysis Profile Driven Optimizations Profile Migration Software Update |
| Content Type | Text |
| Resource Type | Article |
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