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kastors-1.1 1.1.0 2015-04-23 kastors-1.1 - Release Notes kastors-1.1 1.1.0 - Download
kastors-1.0 1.0.0 2014-12-01 kastors-1.0 - Release Notes kastors-1.0 1.0.0 - Download
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Project description

The recent introduction of task dependencies in the OpenMP specification provides new ways of synchronizing tasks. Application programmers can now describe the data a task will read as input and write as output, letting the runtime system resolve fine-grain dependencies between tasks to decide which task should execute next. Such an approach should scale better than the overkill global synchronization found in most OpenMP 3.0 applications. As promising as it looks however, any new feature needs proper evaluation to encourage application programmers to embrace it.

The KASTORS benchmarks suite is designed to evaluate OpenMP tasks dependencies. We modified state-of-the-art OpenMP 3.0 benchmarks and data-flow parallel linear algebra kernels to make use of tasks dependencies. Learning from this experience, we propose extensions to the actual OpenMP specification to improve the expressiveness of dependencies. KASTORS could be used to evaluate performances of OpenMP implementations of task dependencies compared to taskwait-based approaches.