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CPA-CSA-T: Arsenal: Extending Moore's Law through the Design, Synthesis and Use of Massively Heterogeneous Systems

CPA-CSA-T: Arsenal: Extending Moore's Law through the Design, Synthesis and Use of Massively Heterogeneous Systems
CPA-CSA-T:军械库:通过大规模异构系统的设计、合成和使用扩展摩尔定律
批准号:
0811794
负责人:
Michael Taylor
金额:
$80.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-08-01 至 2012-07-31

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中文摘要
翻译
对功耗和微架构可伸缩性的关注促使了最近向多核处理器的工业转型。在不久的将来,由于超大规模集成电路的规模限制,处理器将只能在全速运行时一次使用一小部分芯片。三维CMOS集成的出现加剧了这一问题,因为它大大增加了器件数量,却没有提高晶体管的功率效率。这堵“利用率墙”可能会阻止摩尔定律的进步,并阻止处理器性能的年度改进,而这些改进在过去40年里改变了社会。本研究通过对军械库处理器的设计、构造和分析,攻克了利用墙。武库处理器由一个异构数组组成,其中包含10到100甚至1000个专用处理元素(spe),其中的一小部分将随时处于活动状态。阿森纳系统中的spe将从专门的asic到图形加速器和无序的超标量。程序的不同部分将在最适合每个部分的spe上运行。由于专用处理器通常更小、更高效,因此每个程序只使用一小部分die,但效率极高。我们的初步结果表明,与不那么激进的异构方法相比,阿森纳设计可将功率效率提高7倍。虽然阿森纳式处理器的潜在优势是诱人的,但阿森纳系统也提出了重大挑战。设计人员必须找到一种方法来快速开发各种spe,这些spe可以共同提高典型终端用户工作负载的效率。Arsenal设计中的内存系统必须为每个SPE提供足够的内存带宽。阿森纳处理器必须包含一个可以支持数千个通信spe的片上互连。为此,我们将与专注于片上互连设计的MIT ATAC项目合作,并将他们的互连纳入我们自己的工作中。提议的工作将探索在设计具有数千个专用核心的大规模异构兵工厂系统时出现的许多架构挑战。其目标是展示阿森纳处理器的潜力,开发设计完整的基于阿森纳的系统所需的工具,并构建一个完整的、通用的阿森纳处理器原型。
英文摘要
Power and microarchitectural scalability concerns have motivated the recent industrial transition to multicore processors. In the near future, because of VLSI scaling limitations, processors will only be able to make use of a small fraction of the die at one time at full speed. The emergence of three-dimensional CMOS integration exacerbates this problem by substantially increasing device count without improving transistor power efficiency. This "utilization wall" threatens to halt the progress of Moore's law and stop the yearly improvements in processor performance that have transformed society over the last 40 years. This research attacks the utilization wall by examining the design, construction and analysis of Arsenal processors. Arsenal processors are comprised of a heterogeneous array of 10s to 100s to even 1000s of specialized processing elements (SPEs), a small subset of which will be active at any time. The SPEs in an Arsenal system will vary from specialized ASICs to graphics accelerators and out-of-order superscalars. Different parts of a program will run on the SPEs best suited to each part. Since specialized processors are generally smaller and more efficient, each program will use just a fraction of the die, but will do so extremely efficiently. Our preliminary results show that Arsenal designs improve power efficiency by up to 7x compared to less aggressively heterogeneous approaches. While the potential benefits of Arsenal-style processors are alluring, Arsenal systems present significant challenges as well. Designers must find a way to quickly develop a wide range of SPEs that can collectively improve efficiency for a typical end-user's workload. The memory system in an Arsenal design must deliver sufficient memory bandwidth to each SPE.Arsenal processors must include an on-chip interconnect that can support thousands of communicating SPEs. To this end, we will colloborate with the MIT ATAC project, which focuses on on-chip interconnect design, and we will incorporate their interconnect into our own work. The proposed work will explore many architectural challenges that arise in designing massively heterogeneous Arsenal systems with potentially 1000s of specialized cores. Its goals are to demonstrate the potential of Arsenal processors, develop the tools needed to design complete Arsenal-based systems, and to build a complete, general-purpose prototype Arsenal processor.
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