NDLI: Practical Experiences with Modern Parallel Performance Analysis Tools: An Evaluation

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Practical Experiences with Modern Parallel Performance Analysis Tools: An Evaluation

Content Provider	CiteSeerX
Author	Leko, Adam Golden, Bryan Sherburne, Hans George, Alan D. Su, Hung-Hsun
Abstract	Achieving a significant fraction of peak performance on a modern high-performance computer is a challenging task. Fortunately, many performance analysis tools exist that can be used to improve the efficiency of parallel programs. However, while these tools can be very effective at troubleshooting performance problems, finding the right performance tool for each situation can be a time-consuming task. Since performance optimization is generally considered near the end of software development cycles, most developers cannot afford to spend time examining each available performance tool. Thus, it is common practice for developers to rely on ad-hoc performance analysis techniques. We have recently concluded an extensive study of several existing performance analysis tools. This paper summarizes our findings and is meant to serve as a guide to the latest software in parallel performance analysis tools. We evaluate each tool using a standard methodology and highlight each tool’s key features and relative strengths. Finally, we give general recommendations on how to best use each performance analysis tool.
File Format	PDF
Access Restriction	Open
Subject Keyword	Modern Parallel Performance Analysis Tool Practical Experience Performance Analysis Tool Tool Key Feature Relative Strength Software Development Cycle Many Performance Analysis Tool Available Performance Tool Time-consuming Task Modern High-performance Computer Right Performance Tool Peak Performance Extensive Study Performance Optimization Parallel Program General Recommendation Common Practice Ad-hoc Performance Analysis Technique Parallel Performance Analysis Tool Standard Methodology Significant Fraction Performance Problem
Content Type	Text
Resource Type	Article

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