Abstract
AbstractWith an increase in the number of processors on a single chip, programming environments which facilitate the exploitation of parallelism on multicore architectures have become a necessity. StarSs is a task-based programming model that enables a flexible and high level programming. Although task synchronization in StarSs is based on data flow and dependency analysis, some applications (e.g. reductions) require locks to access shared data.Transactional Memory is an alternative to lock-based synchronization for controlling access to shared data. In this paper we explore the idea of integrating a lightweight Software Transactional Memory (STM) library, TinySTM , into an implementation of StarSs (SMPSs). The SMPSs runtime and the compiler have been modified to include and use calls to the STM library. We evaluated this approach on four applications and observe better performance in applications with high lock contention.KeywordsShared MemoryMemory LocationMulticore ArchitectureTask SynchronizationSingle TransactionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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