提高具有密集ACCs覆盖的cmp的可扩展性

N. Teimouri, H. Tabkhi, G. Schirner
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引用次数: 5

摘要

利用硬件加速器(ACCs)是提高芯片多处理器(cmp)性能和功耗效率的一种很有前途的解决方案。然而,随着芯片上accc从少(稀疏覆盖)到多(密集覆盖)的趋势,新的挑战也随之而来。主要的挑战是ACC通信中缺乏清晰的语义,以及用于编排整个系统的以处理器为中心的视图。本文为在一个芯片上高效集成多个acc开辟了一条道路。为此,本文首先确定了两个acc相互通信时的4个主要语义方面:数据访问模型、数据粒度、编组和同步。在识别语义的基础上,提出了一种高效的体系结构解决方案——透明自同步(TSS),在底层体系结构中实现识别语义。原则上,TSS建议从当前的以处理器为中心的视图转变为acc和主机处理器之间更加平等的对等视图。TSS最大限度地减少了与主处理器的交互,并减少了暴露在系统结构中的acc到acc通信流量的数量。我们使用8个具有不同ACC覆盖密度的流应用程序的结果表明,TSS具有显著的优势,包括比当前基于ACC的架构加快3倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving scalability of CMPs with dense ACCs coverage
Utilizing Hardware Accelerators (ACCs) is a promising solution to improve performance and power efficiency of Chip Multi-Processors (CMPs). However, new challenges arise with the trend of shifting from few ACCs (with sparse ACCs coverage) to many ACCs (denser ACCs coverage) on a chip. The primary challenges are a lack of clear semantics in ACC communication as well as a processor-centric view for orchestrating the entire system. This paper opens a path toward efficient integration of many ACCs on a single chip. To this end, the paper at first identifies 4 major semantic aspects when two ACCs communicate with each other: data access model, data granularity, marshalling, and synchronization. Based on the identified semantics, the paper then proposes an efficient architecture solution, Transparent Self-Synchronizing (TSS), to realize the identified semantics in the underlying architecture. In principle, TSS proposes a shift from the current processor-centric view to a more equal, peer view between ACCs and the host processors. TSS minimizes the interaction with the host processor and reduces the volume of ACC-to-ACC communication traffic exposed to the system fabric. Our results using 8 streaming applications with a varying ACC coverage density demonstrate significant benefits of TSS, including a 3x speedup over the current ACC-based architectures.
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