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Performance analyzer 1.
| Content Provider | CiteSeerX |
|---|---|
| Author | Chapman, Barbara Bui, Van Hern, Oscar Kufrin, Rick |
| Abstract | Most OpenMP performance analysis tools are usually stand-alone and provide data to the user after an application completes running. Considerable time and effort can be spent learning to use different tools and waiting for results to become available post-execution. It is beneficial to develop a runtime system that exploits the synergistic effects between compilers and performance tools to alleviate this overhead. An added advantage for such a system is that the instrumentation points do not interefere with static compiler optimizations because they reside in the runtime environment. But as with most run-time systems, the problem of runtime overheads must be addressed. In this project, we address these issues and build a prototype implementation of a run-time performance environment that applies a light-weight sampling based technique to extract low level performance metrics and map these metrics to higher levels of abstraction. Experiments are run on our environment using a kernel application and we display preliminary data. 1 |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Instrumentation Point Performance Analyzer Available Post-execution Run-time System Considerable Time Preliminary Data Light-weight Sampling Runtime Overhead Openmp Performance Analysis Tool Prototype Implementation Kernel Application Added Advantage Run-time Performance Environment Runtime System Performance Tool Synergistic Effect Static Compiler Optimization Low Level Performance Metric Different Tool Runtime Environment |
| Content Type | Text |
