Joo-Young Kim, Kwanho Kim, Seungjin Lee, Minsu Kim, Jinwook Oh, H. Yoo
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引用次数: 3
摘要
开发了118.4GB/s多播片上网络(MC-NoC)作为实时目标识别处理器的通信平台。为了支持特定应用的数据事务，MC-NoC采用分层星形和环状拓扑结构相结合的多播能力。结果表明，在目标物体识别流量下，MC-NoC的数据处理时间和能耗分别提高了20%和23%。350k栅极MC-NoC采用0.13 μ m CMOS工艺制造，在400MHz, 1.2V时功耗为48mW。
A 118.4GB/s multi-casting network-on-chip for real-time object recognition processor
A 118.4GB/s multi-casting network-on-chip (MC-NoC) is developed as communication platform for a real-time object recognition processor. To support application-specific data transactions, the MC-NoC adopts the combination of hierarchical star and ring topology with the multi-casting capability. As a result, the proposed MC-NoC improves data transaction time and energy consumption by 20% and 23%, respectively, under target object recognition traffic. The 350k gates MC-NoC, fabricated in a 0.13µm CMOS process, consumes 48mW at 400MHz, 1.2V.
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