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Jul, 2023
OmniBoost: 异构嵌入式设备在多重DNN工作负载下的吞吐量增强
OmniBoost: Boosting Throughput of Heterogeneous Embedded Devices under Multi-DNN Workload
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Andreas Karatzas, Iraklis Anagnostopoulos
TL;DR
本研究提出了一种用于异构嵌入式设备的轻量级且可扩展的多DNN管理器，通过利用随机空间探索和精确的性能估计器，相比其他最先进的方法，平均吞吐量提高了4.6倍。
Abstract
modern deep neural networks
(DNNs) exhibit profound efficiency and accuracy properties. This has introduced application workloads that comprise of multiple DNN applications, raising new challenges regarding
workload dis
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