The Omega test: a fast and practical integer programming algorithm for dependence analysis
Proceedings of the 1991 ACM/IEEE conference on Supercomputing
SUIF Explorer: an interactive and interprocedural parallelizer
Proceedings of the seventh ACM SIGPLAN symposium on Principles and practice of parallel programming
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
Improving the performance of OpenMP by array privatization
WOMPAT'03 Proceedings of the OpenMP applications and tools 2003 international conference on OpenMP shared memory parallel programming
Towards a more efficient implementation of OpenMP for clusters via translation to global arrays
Parallel Computing - OpenMp
Capturing and analyzing the execution control flow of OpenMP applications
International Journal of Parallel Programming
Visualizing the program execution control flow of OpenMP applications
IWOMP'08 Proceedings of the 4th international conference on OpenMP in a new era of parallelism
Capturing and visualizing event flow graphs of MPI applications
Euro-Par'09 Proceedings of the 2009 international conference on Parallel processing
Evaluating OpenMP on chip multithreading platforms
IWOMP'05/IWOMP'06 Proceedings of the 2005 and 2006 international conference on OpenMP shared memory parallel programming
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A program analysis tool can play an important role in helping users understand and improve OpenMP codes. Dragon is a robust interactive program analysis tool based on the Open64 compiler, an open source OpenMP, C/C++/Fortran77/90 compiler for Intel Itanium systems. We developed the Dragon tool on top of Open64 to exploit its powerful analyses in order to provide static as well as dynamic (feedback-based) information which can be used to develop or optimize OpenMP codes. Dragon enables users to visualize and print essential program structures and obtain runtime information on their applications. Current features include static/dynamic call graphs and control flow graphs, data dependence analysis and interprocedural array region summaries, that help understand procedure side effects within parallel loops. On-going work extends Dragon to display data access patterns at runtime, and provide support for runtime instrumentation and optimizations.