• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Parallel and Distributed Systems >FlitZip: Effective Packet Compression for NoC in MultiProcessor System-on-Chip
【24h】

FlitZip: Effective Packet Compression for NoC in MultiProcessor System-on-Chip

机译：Flitzip：Murocessor系统中NOC的有效数据包压缩

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Applications running on Network on Chip (NoC) based multicore systems demand increased on-chip network bandwidth that can cater to the need for intensive communication among the cores and caches. Due to strict area and power budget, the bandwidth offered by NoC is very limited. Data-intensive and communication-centric applications on encountering a cache miss lead to a considerable burden on the underlying network for transferring blocks from multiple cache hierarchies to the requesting core as packets. This increases the packet transmission latency, thereby slowing down the system performance. Also, NoC being the highest component of power consumption after the cores, an increase in packets increases the dynamic power consumption of NoC. The article proposes FlitZip that addresses the problem by reducing on-chip traffic through compressing network packets. Hence, the compressed packet requires less bandwidth during its transfer, reducing the network's power consumption. Experimental analysis shows that FlitZip achieves a better compression ratio of 52 percent, reduces packet latency and bandwidth utilization by 19.28 and 27 percent, respectively. It also reduces the area and power consumption of the de/compression units by 53.33 and 62.3 percent, respectively, compared to the state-of-the-art packet compression technique, No Delta.
机译：基于芯片（NOC）的网络上运行的应用程序的多核系统需求增加了片上网络带宽，可以满足核心和高速缓存的密集通信的需求。由于严格的区域和电力预算，NOC提供的带宽非常有限。遇到缓存未命中的数据密集型和以通信为中心的应用程序导致底层网络具有相当大的负担，用于将块从多个缓存层次结构传输到请求核心作为数据包。这增加了数据包传输延迟，从而减慢了系统性能。此外，NOC是核心后功耗最高的组件，数据包的增加增加了NOC的动态功耗。文章提出了通过压缩网络数据包降低芯片交通来解决问题的Flitzip。因此，压缩数据包在转移期间需要更少的带宽，降低网络的功耗。实验分析表明，Flitzip达到了52％的更好压缩比，分别降低了包延迟和带宽利用率，分别为19.28和27％。与最先进的分组压缩技术（No Delta）相比，它还分别将DE /压缩单元的面积和功耗降低了53.33和62.3％。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号