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Abstract: To attack the problem of scalability of performance diagnosis tools with respect to application code size, we have developed the Deep Start search strategy---a new technique that uses stack sampling to augment an automated search for application performance problems. Our hybrid approach locates performance problems more quickly and finds performance problems hidden from a more straightforward search strategy. The Deep Start strategy uses stack samples collected as a by-product of normal search... (Update)
Context of citations to this paper: More
...test it, then re ne the hypothesis on the basis of the results. The approach has been explored in the Paradyn Performance Consultant [5, 15]. We have a preliminary implementation (as a JUDI ISC) which we are currently developing [3] Aspects. How should a JUDI user specify which...
...Search strategy enhancements. To address some of these diculties, deep start enhancements to the callgraph strategy have been proposed [12]. Random call stack sampling has been shown to be e ective but for Java it is dicult to implement; we study a call count alternative....
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BibTeX entry: (Update)
P..C. Roth and B. P. Miller. DeepStart: A hybrid strategy for automated performance problem searches. In EuroPar 2002. http://citeseer.ist.psu.edu/article/roth02deep.html More
@misc{ roth-deep,
author = "Philip C. Roth et al.",
title = "Deep Start: A Hybrid Strategy for Automated Performance Problem Searches",
url = "citeseer.ist.psu.edu/article/roth02deep.html" }
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