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A new traffic compression method for end-to-end memory accesses in 3D chip-multiprocessors

机译:一种用于3D芯片多处理器中端到端内存访问的新流量压缩方法

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As the number of cores increases, power consumption becomes the main concern in Network on Chip (NoC) and Last Level Cache (LLC). In on-chip interconnection networks, bursty-based traffics between components such as cache and memory banks have a big contribution of total traffic in NoC-based many-core systems. In this context, these types of traffics have an impressive impact on NoC energy consumption. Moreover, non-volatile memories (NVMs) are among the newest solutions to replace SRAM in LLC. However, NVMs suffer the limited number of write operations and long write operation latency and high energy. In this paper, we present a novel compression method to reduce the data traffic between processor cores and non-volatile memories in a 3D system. It can also reduce the number of write operations in a LLC to reduce the total energy consumption. In this paper, we propose a novel compression method called Zero-Duplicate Compression (ZDC) to compress network traffic and to improve energy efficiency in NVMs as a LLC. Our experiments show that our proposed compression method provides significant compression ratio with trivial hardware overhead in compared to two other state-of-the-art compression methods.
机译:随着内核数量的增加,功耗已成为片上网络(NoC)和最后一级缓存(LLC)的主要问题。在片上互连网络中,在基于NoC的多核系统中,缓存和内存库等组件之间的基于突发的流量对总流量有很大的贡献。在这种情况下,这些类型的流量对NoC能耗产生了令人印象深刻的影响。此外,非易失性存储器(NVM)是取代LLC中的SRAM的最新解决方案之一。但是,NVM的写入操作数量有限,写入操作等待时间较长,并且耗费大量精力。在本文中,我们提出了一种新颖的压缩方法,以减少3D系统中处理器内核与非易失性存储器之间的数据流量。它还可以减少LLC中的写操作次数,以减少总能耗。在本文中,我们提出了一种新颖的压缩方法,称为零重复压缩(ZDC),以压缩网络流量并提高NVM作为LLC的能效。我们的实验表明,与其他两种最新的压缩方法相比,我们提出的压缩方法提供了显着的压缩比,并且硬件开销很小。

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