Power-Aware Multicore Processing

功耗感知多核处理

• 批准号: 261369-2012
• 负责人: Baniasadi, Amirali
• 金额: $ 1.6万
• 依托单位: University of Victoria
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=634985
• 关键词: Power; Aware; Multicore; Processing

The goal of this proposal is to develop techniques to reduce power dissipation in multicore processors. Multicore processors, also referred to as chip multiprocessors (or simply CMPs), are employed in a wide range of computing systems from data centers to desktops and embedded processors. The energy consumed by such computing systems accounts for a considerable share of our daily energy consumption. Therefore, developing power efficient multicore processors is a critical aspect of green computing. CMPs achieve high performance by using multiple processor cores on a single chip. While this approach has proven to provide effective means for current technologies, there are several studies that suggest that future CMPs will become power limited. Consequently, providing enough power for the chip will require turning off some sections. One way to reduce the proportion of these unused sections (also referred to as dark silicon) is to develop low-power CMPs. We will investigate solutions for enhancing power efficiency in future CMPs. To achieve this goal we suggest developing alternative power-aware designs. We will investigate a number of issues influencing the overall power dissipation in CMPs. We will study power scalability and the parameters contributing to the excessive power dissipation growth in large-scale CMPs. We will also analyze resource utilization in different CMP designs and identify resource utilization inefficiencies. We will use our findings to redesign conventional CMPs for better power efficiency. Our proposed research makes important contributions to Canadian society. First, the proposed research program aims at developing "greener" computing infrastructures where power hungry processors are replaced with low-power alternatives. Second, the resulting knowledge belongs to an area critical to Canada's future leadership in advanced technologies. Many Canadian companies can benefit from the findings of the proposed research and the resulting HQP training.

该提案的目的是开发技术以减少多层处理器中的功率耗散。从数据中心，台式机和嵌入式处理器中，使用了多项处理器，也称为芯片多处理器（或简称CMP）。这些计算系统消耗的能量占了我们日常能源消耗的相当一部分。因此，开发电力效率的多核心处理器是绿色计算的关键方面。 CMP通过在单个芯片上使用多个处理器核来实现高性能。尽管这种方法已被证明可以为当前技术提供有效的手段，但有几项研究表明，未来的CMP将受到限制。因此，为芯片提供足够的功率将需要关闭某些部分。减少这些未使用部分的比例（也称为深色硅）的一种方法是开发低功率CMP。我们将调查解决方案，以提高未来CMP的功率效率。为了实现这一目标，我们建议开发替代的电力感知设计。我们将调查影响CMP中总体功率耗散的许多问题。我们将研究功率可伸缩性和大规模CMP中过度功率耗散增长的参数。我们还将分析不同CMP设计中的资源利用，并确定资源利用率低下。我们将使用我们的发现来重新设计常规CMP，以提高功率效率。我们提出的研究为加拿大社会做出了重要贡献。首先，拟议的研究计划旨在开发“更绿”的计算基础设施，在这些计算基础架构中，饥饿的处理器被低功率替代品代替。其次，所产生的知识属于加拿大未来在高级技术领导的领域至关重要的领域。许多加拿大公司可以从拟议的研究的发现和由此产生的HQP培训中受益。