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- W2977811282 abstract "Dataflow architecture has native advantage in achieving high instruction parallelism and power efficiency for today's emerging applications such as high performance computing and machining learning. In dataflow computing, the execution of instructions is driven by data, so the data transfer efficiency of the network on chip (NoC) is a key factor affecting performance. However, the NoC performance is degraded due to the increasing use of multicast communications in many applications. The existing dataflow architecture instruction scheduling algorithm does not optimize multicast communication between the instruction and its successor instructions, so the routing paths of many multicast packets have forks which cause bandwidth waste and potential network congestion. We propose a sharing path awareness (SPA) algorithm to optimize multicast communication in the dataflow architecture. The algorithm shares the routing paths from the instruction to its child node to reduce the NoC bandwidth waste through the instruction scheduler. Compared with the best prior algorithm, SPA algorithm achieves 15.98% average transfer delay reduction and 21.22% average performance improvement for our experimental workloads." @default.
- W2977811282 created "2019-10-10" @default.
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- W2977811282 date "2019-08-01" @default.
- W2977811282 modified "2023-09-24" @default.
- W2977811282 title "A Sharing Path Awareness Scheduling Algorithm for Dataflow Architecture" @default.
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- W2977811282 doi "https://doi.org/10.1109/hpcc/smartcity/dss.2019.00017" @default.
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