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• W2937604920 abstract "We present Pipelite , a dynamic scheduler that exploits the properties of dynamic linear pipelines to achieve high performance for fine-grained workloads. The flexibility of Pipelite allows the stages and their data dependences to be determined at runtime. Pipelite unifies communication, scheduling, and synchronization algorithms with suitable data structures. This unified design introduces the local suspension mechanism and a wait-free enqueue operation, which allow efficient dynamic scheduling. The evaluation on a 44-core machine, using programs from three widely used benchmark suites, shows that Pipelite implies low overhead and significantly outperforms the state of the art in terms of speedup, scalability, and memory usage." @default.
• W2937604920 created "2019-04-25" @default.
• W2937604920 creator A5026061564 @default.
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• W2937604920 date "2019-04-18" @default.
• W2937604920 modified "2023-09-26" @default.
• W2937604920 title "Efficient and Scalable Execution of Fine-Grained Dynamic Linear Pipelines" @default.
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• W2937604920 doi "https://doi.org/10.1145/3307411" @default.
• W2937604920 hasPublicationYear "2019" @default.
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