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A novel hardware support for heterogeneous multi-core memory system

机译:对异构多核存储系统的新颖硬件支持

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摘要

Memory technology is one of the cornerstones of heterogeneous multi-core system efficiency. Many memory techniques are developed to give good performance within the lowest possible energy budget. These technologies open new opportunities for the memory system architecture that serves as the primary means for data storage and data sharing between multiple heterogeneous cores. In this paper, we study existing state of the art memories, discuss a conventional memory system and propose a novel hardware mechanism for heterogeneous multi-core memory system called Pattern Aware Memory System (PAMS). The PAMS supports static and dynamic data structures using descriptors and specialized scratchpad memory. In order to prove the proposed memory system, we implemented and tested it on real-prototype and simulator environments. The benchmarking results on real-prototype hardware show that PAMS achieves a maximum speedup of 12.83x and 1.23x for static and dynamic data structures respectively. When compared to the Baseline System, the PAMS consumes up to 4.8 times less program memory for static and dynamic data structures respectively. The PAMS consumes 4.6% and 1.6 times less dynamic power and energy respectively. The results of simulator environment show that the PAMS transfers data-structures up to 5.12x faster than the baseline system.
机译:内存技术是异构多核系统效率的基石之一。开发了许多存储技术以在尽可能低的能量预算内提供良好的性能。这些技术为存储系统架构提供了新的机会,该存储系统架构是多个异构内核之间的数据存储和数据共享的主要手段。在本文中,我们研究了现有的内存状态,讨论了常规的内存系统,并提出了一种用于异构多​​核内存系统的新型硬件机制,称为模式感知内存系统(PAMS)。 PAMS支持使用描述符和专用暂存器的静态和动态数据结构。为了证明所提出的内存系统,我们在真实原型和模拟器环境中对其进行了实现和测试。实际原型硬件上的基准测试结果表明,PAMS对于静态和动态数据结构分别实现了12.83x和1.23x的最大加速。与基准系统相比,PAMS分别为静态和动态数据结构节省多达4.8倍的程序内存。 PAMS消耗的动态功率和能量分别减少4.6%和1.6倍。仿真器环境的结果表明,PAMS传输数据结构的速度比基线系统快5.12倍。

著录项

  • 来源
  • 作者

    Tassadaq Hussain;

  • 作者单位

    UCERD: Unal Color of Education Research and Development, Islamabad, Pakistan Riphah International University, Islamabad, Pakistan Microsoft Research Center and Barcelona Supercomputing Center, Spain;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Heterogeneous; Controller; HPC;

    机译:异质;控制器;高性能计算;

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