Bandwidth-aware reconfigurable cache design with hybrid memory technologies

Jishen Zhao, Cong Xu, Yuan Xie
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引用次数: 26

Abstract

In chip-multiprocessor (CMP) designs, limited memory bandwidth is a potential bottleneck of the system performance. New memory technologies, such as spin-torque-transfer memory (STT-RAM), resistive memory (RRAM), and embedded DRAM (eDRAM), are promising on-chip memory solutions for CMPs. In this paper, we propose a bandwidth-aware re-configurable cache hierarchy (BARCH) with hybrid memory technologies. BARCH consists of a hybrid cache hierarchy, a reconfiguration mechanism, and a statistical prediction engine. Our hybrid cache hierarchy chooses different memory technologies to configure each level so that the bandwidth provided by the overall hierarchy is optimized. Furthermore, we present a reconfiguration mechanism to dynamically adapt the cache space of each level based on the predicted bandwidth demands of different applications, which is guaranteed by our prediction engine. We evaluate the system performance gain obtained by our method with a set of multithreaded and multiprogrammed applications. Compared to traditional SRAM-based cache designs, our proposed design improves the system throughput by 58% and 14% for multithreaded and multiprogrammed applications, respectively.1
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基于混合存储技术的带宽感知可重构缓存设计
在芯片多处理器(CMP)设计中,有限的内存带宽是系统性能的潜在瓶颈。新的存储技术,如自旋扭矩传输存储器(STT-RAM)、电阻式存储器(RRAM)和嵌入式DRAM (eDRAM),都是很有前途的cmp片上存储器解决方案。在本文中,我们提出了一种基于混合存储技术的带宽感知可重构缓存层次结构(BARCH)。BARCH由混合缓存层次结构、重新配置机制和统计预测引擎组成。我们的混合缓存层次结构选择不同的内存技术来配置每个级别,以便优化整个层次结构提供的带宽。在此基础上,提出了一种基于不同应用的带宽预测需求动态调整各层缓存空间的重构机制,以保证预测引擎的性能。我们用一组多线程和多程序应用程序来评估用我们的方法获得的系统性能增益。与传统的基于sram的缓存设计相比,我们提出的设计在多线程和多程序应用程序中分别提高了58%和14%的系统吞吐量
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