Model-Based relative performance diagnosis of wavefront parallel computations

Authors:
Li Li;Allen D. Malony;Kevin Huck
Affiliations:
Performance Research Laboratory, Department of Computer and Information Science, University of Oregon, Eugene, OR;Performance Research Laboratory, Department of Computer and Information Science, University of Oregon, Eugene, OR;Performance Research Laboratory, Department of Computer and Information Science, University of Oregon, Eugene, OR
Venue:
HPCC'06 Proceedings of the Second international conference on High Performance Computing and Communications
Year:
2006

Citing 4
Cited 2

Relative debugging: a new methodology for debugging scientific applications

Communications of the ACM
An Algebra for Cross-Experiment Performance Analysis

ICPP '04 Proceedings of the 2004 International Conference on Parallel Processing
A framework for multi-execution performance tuning

On-line monitoring systems and computer tool interoperability
Knowledge engineering for automatic parallel performance diagnosis: Research Articles

Concurrency and Computation: Practice & Experience - European–American Working Group on Automatic Performance Analysis (APART)

Knowledge support and automation for performance analysis with PerfExplorer 2.0

Scientific Programming - Large-Scale Programming Tools and Environments
Trace profiling: Scalable event tracing on high-end parallel systems

Parallel Computing

Quantified Score

Hi-index	0.00

Visualization

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.