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Memory Aware Dynamic Load Balancing for Networks-on-Chip

机译:内存感知网络上的动态负载平衡

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Shared memory systems typically suffer from transmission load concentration on memories and routers. In this paper, we propose the method that resolves the load concentration problem and improves the memory access performance. This is achieved by distinguishing between the destination memories, balancing transmission load of memories and routers dynamically assuming shared memory system that has multiple memories. Hardware mounting evaluation reveal the proposed method improves the issue of transmission load concentration on shared memory system. In the 16 processing core, 4 memory system model, throughput was improved three times over conventional method, without significantly increasing the mounting footprint.
机译:共享存储器系统通常在存储器和路由器上遭受传输负载集中。在本文中,我们提出了解决负载集中问题并提高内存访问性能的方法。这是通过区分目的地存储器,平衡存储器和路由器的平衡传输负荷来实现,并且假设具有多个存储器的共享存储器系统。硬件安装评估揭示所提出的方法改善了共享存储器系统上传输负荷集中的问题。在16个处理核心,4个存储器系统模型中,通过传统方法提高了三次的吞吐量,而不会显着增加安装占地面积。

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