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- W2030522877 abstract "Modern parallel machines are likely to run multiple parallel processes together. However, collocating parallel processes in a single machine can easily result in cross-process and cross-thread interferences that can dramatically degrade the system's performance. Such interferences can be mitigated by dynamically adjusting each process' parallelism towards a fair and efficient configuration. We propose a decentralized method for adaptive parallelism for collocated transactional multi-threaded processes. Inspired by well-known results from flow/congestion control mechanisms in communication networks, our technique adopts a hill-climbing strategy that was previously unexplored in the context of adaptive parallelism." @default.
- W2030522877 created "2016-06-24" @default.
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- W2030522877 date "2015-06-13" @default.
- W2030522877 modified "2023-10-16" @default.
- W2030522877 title "Fair Adaptive Parallelism for Concurrent Transactional Memory Applications" @default.
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- W2030522877 doi "https://doi.org/10.1145/2755573.2755609" @default.
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