Abstract
Parallel performance diagnosis can be improved with the use of performance knowledge about parallel computation models. The Hercule diagnosis system applies model-based methods to automate performance diagnosis processes and explain performance problems from high-level computation semantics. However, Hercule is limited by a single experiment view. Here we introduce the concept of relative performance diagnosis and show how it can be integrated in a model-based diagnosis framework. The paper demonstrates the effectiveness of Hercule’s approach to relative diagnosis of the well-known Sweep3D application based on a Wavefront model. Relative diagnoses of Sweep3D performance anomalies in strong and weak scaling cases are given.
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References
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© 2006 Springer-Verlag Berlin Heidelberg
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Li, L., Malony, A.D., Huck, K. (2006). Model-Based Relative Performance Diagnosis of Wavefront Parallel Computations. In: Gerndt, M., Kranzlmüller, D. (eds) High Performance Computing and Communications. HPCC 2006. Lecture Notes in Computer Science, vol 4208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11847366_21
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DOI: https://doi.org/10.1007/11847366_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-39368-9
Online ISBN: 978-3-540-39372-6
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