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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Moret, P. Binder, W. Villazon, A. Ansaloni, D. Schoeberl, M. |
| Copyright Year | 2009 |
| Abstract | Prevailing approaches to analyze embedded software performance either require the deployment of the software on the embedded target, which can be tedious and may be impossible in an early development phase, or rely on simulation, which can be extremely slow. We promote cross-profiling as an alternative approach, which is particularly well suited for embedded Java processors. The embedded software is profiled in any standard Java Virtual Machine in a host environment, but the generated cross-profile estimates the execution time on the target. We implemented our approach in the customizable cross-profiler CProf, which generates calling-context cross-profiles. Each calling-context stores dynamic metrics, such as the estimated CPU cycle consumption on the target. We visualize the generated calling-context cross-profiles as ring charts, where callee methods are represented in segments surrounding the caller's segment. As the size of each segment corresponds to the relative CPU consumption of the corresponding calling-context, the visualization eases the location of performance bottlenecks in embedded Java software, revealing hot methods, as well as their callers and callees, at one glance. |
| Starting Page | 107 |
| Ending Page | 108 |
| File Size | 184215 |
| Page Count | 2 |
| File Format | |
| ISBN | 9780769538082 |
| DOI | 10.1109/QEST.2009.40 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-13 |
| Publisher Place | Hungary |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Java Visualization Software performance cross-profiles visualization Virtual machining cross-profiling calling-context Application software Embedded software Counting circuits Java Virtual Machine Software standards Performance analysis Informatics |
| Content Type | Text |
| Resource Type | Article |
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