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- W2955931409 abstract "Dataflow processor has shown its unique advantages in executing high performance computing applications with its communication-exposed microarchitecture. In dataflow processors, large amounts of data are directly transferred between instructions through a network-on-chip. The efficiency of data transfer is an imperative performance metric that needs to be optimized in most dataflow processors. Based on the specific features of the dataflow network, we propose a mechanism for dynamically merging the packets in the routers. By testing workloads with varying characteristics, the experiment results demonstrate that the average latency of data transfer is reduced by 11.8%, the performance of dataflow accelerator is improved by 14.0%." @default.
- W2955931409 created "2019-07-12" @default.
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- W2955931409 date "2018-10-01" @default.
- W2955931409 modified "2023-09-27" @default.
- W2955931409 title "Optimizing network efficiency of dataflow architectures through dynamic packet merging" @default.
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- W2955931409 doi "https://doi.org/10.1109/igcc.2018.8752155" @default.
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