Profiling Java programs for parallelism
IWMSE '09 Proceedings of the 2009 ICSE Workshop on Multicore Software Engineering
Fast, effective program analysis for object-level parallelism
Fast, effective program analysis for object-level parallelism
Proceedings of the 19th international conference on Parallel architectures and compilation techniques
Kremlin: rethinking and rebooting gprof for the multicore age
Proceedings of the 32nd ACM SIGPLAN conference on Programming language design and implementation
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Practically all new computer systems are parallel. The minds of the majority of software engineers are not, and most of existing source code is still sequential. Within only a few years, multicore processors changed the system landscape, but the competence to reengineer for computer systems of today is shared among a small community of software engineers. In this paper we present AutoFuture, an approach that automatically identifies parallelizable locations in sequential source code and reengineers them for multicore. This approach demands minimal change to sequential source code. AutoFutures make parallel code easy to understand and increase the acceptance of parallel software.