FastLane: Improving Performance of Software Transactional Memory for Low Thread Counts
Jons-Tobias Wamhoff, Christof Fetzer, Pascal Felber, Etienne Rivière & Gilles Muller
Résumé |
Software transactional memory (STM) can lead to scalable
implementations of concurrent programs, as the relative performance
of an application increases with the number of threads that support
it. However, the absolute performance is typically impaired by the
overheads of transaction management and instrumented accesses to
shared memory. This often leads STM-based programs with low thread
counts to perform worse than a sequential, non-instrumented version
of the same application. In this paper, we propose FastLane, a new STM algorithm that bridges the performance gap between sequential execution and classical STM algorithms when running on few cores. FastLane seeks to reduce instrumentation costs and thus performance degradation in its target operation range. We introduce a novel algorithm that differentiates between two types of threads: One thread (the master) executes transactions pessimistically without ever aborting, thus with minimal instrumentation and management costs, while other threads (the helpers) can commit speculative transactions only when they do not conflict with the master. Helpers thus contribute to the application progress without impairing on the performance of the master. We implement FastLane as an extension of a state-of-the-art STM runtime system and compiler. Multiple code paths are produced for execution on a single, few, and many cores. The runtime system selects the code path providing the best throughput, depending on the number of cores available on the target machine. Evaluation results indicate that our approach provides promising performance at low thread counts: FastLane almost systematically wins over a classical STM in the 1-6 threads range, and often performs better than sequential execution of the non-instrumented version of the same application starting with 2 threads. |
Mots-clés |
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Citation | J. T. Wamhoff, et al., "FastLane: Improving Performance of Software Transactional Memory for Low Thread Counts," in Proceedings of the 18th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP'13), Shenzhen, China, 2013, p. 113-122. |
Type | Actes de congrès (Anglais) |
Nom de la conférence | Proceedings of the 18th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP'13) (Shenzhen, China) |
Date de la conférence | 13-1-2013 |
Editeur commercial | ACM |
Pages | 113-122 |
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