首页> 外文会议>Design, Automation and Test in Europe Conference and Exhibition >Energy-Efficient Two-level Instruction Cache Design for an Ultra-Low-Power Multi-core Cluster
【24h】

Energy-Efficient Two-level Instruction Cache Design for an Ultra-Low-Power Multi-core Cluster

机译:超低功耗多核集群的节能两级指令缓存设计

获取原文

摘要

High Energy efficiency and high performance are the key regiments for Internet of Things (IoT) edge devices. Exploiting cluster of multiple programmable processors has recently emerged as a suitable solution to address this challenge. However, one of the main power bottlenecks for multi-core architectures is the instruction cache memory. We propose a two-level structure based on Standard Cell Memories (SCMs) which combines a private instruction cache (L1) per-core and a low-latency (only one cycle latency) shared instruction cache (L1,5). We present a detailed comparison of performance and energy efficiency for different instruction cache architectures. Our system-level analysis shows that the proposed design improves upon both state-of-the art private and shared cache architectures and balances well performance with energy-efficacy. On average, when executing a set of real-life IoT applications, our multi-level cache improves performance and energy efficiency both by 10% with respect to the private instruction cache system, and improves energy efficiency by 15% and 7% with a performance loss of only 2% with respect to the shared instruction cache. Besides, relaxed timing makes two-level instruction cache an attractive choice for aggressive implementation, with more slack for convergence in physical design.
机译:高能效和高性能是物联网(IoT)边缘设备的关键方案。利用多个可编程处理器的集群已成为解决这一挑战的合适解决方案。但是,多核体系结构的主要功耗瓶颈之一是指令高速缓存。我们提出了一种基于标准单元内存(SCM)的两级结构,该结构结合了每核专用指令缓存(L1)和低延迟(仅一个周期等待时间)的共享指令缓存(L1,5)。我们提供了针对不同指令缓存体系结构的性能和能效的详细比较。我们的系统级分析表明,所提出的设计在最先进的私有和共享缓存体系结构上均得到了改进,并在性能与能源效率之间取得了平衡。平均而言,当执行一组实际的物联网应用程序时,相对于专用指令缓存系统,我们的多层缓存将性能和能源效率分别提高了10%,并通过性能将能源效率分别提高了15%和7%。与共享指令缓存相比,仅损失2%。此外,宽松的时序使二级指令高速缓存成为积极实施的诱人选择,而物理设计中的收敛则更为宽松。

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