Parallel performance prediction using lost cycles analysis
Proceedings of the 1994 ACM/IEEE conference on Supercomputing
HiPC '02 Proceedings of the 9th International Conference on High Performance Computing
Formalizing OpenMP Performance Properties with ASL
ISHPC '00 Proceedings of the Third International Symposium on High Performance Computing
Initial Design of a Test Suite for Automatic Performance Analysis Tools
HIPS '03 Proceedings of the Eighth International Workshop on High-Level Parallel Programming Models and Supportive Environments (HIPS'03)
The OpenMP Source Code Repository
PDP '05 Proceedings of the 13th Euromicro Conference on Parallel, Distributed and Network-Based Processing
MRNet: A Software-Based Multicast/Reduction Network for Scalable Tools
Proceedings of the 2003 ACM/IEEE conference on Supercomputing
ompP: a profiling tool for OpenMP
IWOMP'05/IWOMP'06 Proceedings of the 2005 and 2006 international conference on OpenMP shared memory parallel programming
Automated performance analysis using ASL performance properties
PARA'06 Proceedings of the 8th international conference on Applied parallel computing: state of the art in scientific computing
Finding inefficiencies in OpenMP applications automatically with periscope
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part II
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Tuning parallel code can be a time-consuming and difficult task. We present our approach to automate the performance analysis of OpenMP applications that is based on the notion of performance properties. Properties are formally specified in the APART specification language (ASL) with respect to a specific data model. We describe a data model for summary (profiling) data of OpenMP applications and present performance properties based on this data model. We evaluate the usability of the properties on several example codes using our OpenMP profiler ompP to acquire the profiling data.