Incremental dependence analysis for interactive parallelization
ICS '90 Proceedings of the 4th international conference on Supercomputing
Transforming loops to recursion for multi-level memory hierarchies
PLDI '00 Proceedings of the ACM SIGPLAN 2000 conference on Programming language design and implementation
Interactive Parallel Programming using the ParaScope Editor
IEEE Transactions on Parallel and Distributed Systems
Scheduling strategies for optimistic parallel execution of irregular programs
Proceedings of the twentieth annual symposium on Parallelism in algorithms and architectures
Proceedings of the 19th international conference on Parallel architectures and compilation techniques
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We present a tool which gives detailed feedback to application developers on how their programs can be made amenable to parallelization. Also, the tool automatically parallelizes the code for a large number of constructs. Since the tool outputs a parallelized code with OpenMP pragmas, the feedback cycle can be run any number of times till the desired performance is achieved. ParTool also acts as a good learning tool to understand the usage of these parallel constructs and thus enables the developer to write better quality code in the future. Our results show that the use of compiler generated feedback can greatly improve the performance of not only benchmarked code but also real life applications.