首页> 外文会议>IEEE International Conference on Consumer Electronics - Asia >BODCA: Heterogeneous CPU-GPU computing system with Bandwidth-Optimized DRAM cache design
【24h】

BODCA: Heterogeneous CPU-GPU computing system with Bandwidth-Optimized DRAM cache design

机译:Bodca:具有带宽优化DRAM缓存设计的异构CPU-GPU计算系统

获取原文

摘要

Heterogeneous CPU-GPU computing is important due to multi-core CPU and GPU. In heterogeneous CPUGPU computing, cache coherence and unified memory spaces allow CPU and GPU cores to access the same memories without memory copy overheads. This paper focuses on the potential of the large-scale DRAM cache design in a heterogeneous computing simulation, considering the tradeoff of DRAM cache design. Also, this paper analyzes the improved latency and utilization of the system bandwidth of DRAM cache design. We propose a Bandwidth Optimized DRAM cache (BODCA), which is similar to Alloy Cache but has a dynamic bandwidth assignment technique. On average, BODCA shows 5.1% IPC improvement and 7.3% increment in the utilization of the memory system bandwidth compared to the Alloy Cache.
机译:异构CPU-GPU计算由于多核CPU和GPU而言是重要的。在异构CPUGPU计算中,高速缓存一致性和统一存储空间允许CPU和GPU核心访问相同的存储器而没有内存复制开销。考虑到DRAM缓存设计的权衡,本文重点介绍了在异构计算模拟中的大规模DRAM缓存设计的潜力。此外,本文分析了DRAM缓存设计系统带宽的改进延迟和利用率。我们提出了一个带宽优化的DRAM缓存(BoDCA),其类似于合金缓存,但具有动态带宽分配技术。平均而言,与合金缓存相比,BoDCA在利用存储器系统带宽时显示了5.1%的IPC改进和7.3%。

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