首页> 外文会议>International conference on architecture of computing systems >HBM-Resident Prefetching for Heterogeneous Memory System
【24h】

HBM-Resident Prefetching for Heterogeneous Memory System

机译:用于异构内存系统的HBM居民预取

获取原文

摘要

To meet the increasing demands for very large memory capacities, bandwidth and energy efficiency, researchers are exploring the use of heterogeneous memory systems that combine faster 3D-DRAMs, DDRx DRAM and non-volatile memories (NVMs). In this paper we evaluate prefetching in a flat-addressable heterogeneous memory comprising High Bandwidth Memory (HBM) and phase change memory (PCM). We find that large prefetch buffers (64MB) can outperform smaller buffer sizes (2MB), however it is not feasible to place such large buffers on the processor die. Hence, in this paper we evaluate an HBM-resident prefetch buffer that provides larger capacity and takes advantage of HBM's higher memory bandwidth. We also present new prefetching policies that accommodate the differences in data path as compared to traditional prefetch-ers. We show that, reserving a small fraction (1/16th) of HBM memory to host a hardware prefetch buffer can improve IPC for a set of SPEC CPU2006 and HPC benchmarks by an average of 34% and a maximum of 98% over a baseline system with no-prefetching. Prefetching reduces total PCM traffic by 10% on average, which results in more memory traffic to the faster HBM, providing overall performance improvement. We found that such prfetching outperforms CAMEO and Alloy cache schemes on average by 60% and 10%, respectively.
机译:为了满足对非常大的内存能力,带宽和能效的需求不断增加,研究人员正在探索使用相结合的3D-DRAM,DDRX DRAM和非易失性存储器(NVM)的异构内存系统。在本文中,我们在包括高带宽存储器(HBM)和相位变化存储器(PCM)的平坦可寻址的异构存储器中评估预取。我们发现大型预取缓冲区(64MB)可以胜过较小的缓冲区大小(2MB),但在处理器模具上放置如此大缓冲区是不可行的。因此,在本文中,我们评估了一个HBM驻留的预取缓冲区,可提供更大的容量,并利用HBM更高的内存带宽。与传统预取符相比,我们还提出了适应数据路径差异的新预取策略。我们展示,保留一个小部分(1/16)的HBM内存来托管硬件预取缓冲器可以在基线系统中平均为一组规格CPU2006和HPC基准测试的IPC,而且最多可超过98%没有预取。预取可平均将PCM流量减少10%,这导致更多的内存流量以更快的HBM,提供整体性能改进。我们发现,这种PROFETCESIVEDSIVEDSO和合金缓存方案平均分别为60%和10%。

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