CAREER: System-level Run-time Management Techniques for Energy-efficient Silicon-Photonic Manycore Systems

职业：节能硅光子众核系统的系统级运行时管理技术

• 批准号: 1149549
• 负责人: Ajay Joshi
• 金额: $ 46.93万
• 依托单位: Trustees of Boston University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-04-01 至 2018-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1149549&HistoricalAwards=false
• 关键词: CAREER; System; level; Run; time

The general purpose computing capacity of the world has been increasing at an annual rate of more than 50% over the past few decades, and this trend is expected to continue in the future. However, this increasing compute capacity directly translates to increasing power dissipation. In fact, the server farms and data centers in US consumed 1.5% of the nation's total electricity in 2006, and this number has been steadily growing every year making it absolutely critical to develop energy-efficient solutions for computing systems. Computer scientists and engineers migrated towards designing systems with dozens of low power cores on a single die to address the power problem while improving the compute capacity through parallelism. However, the deployment of these manycore systems has been impeded by the lack of energy-efficient high-bandwidth density (on-chip and off-chip) link solutions in current and projected electrical technology. Silicon-photonic link technology can potentially solve this problem as it provides an order of magnitude higher bandwidth density than equivalent electrical links. However, the power consumed in these silicon-photonic links more than offsets any bandwidth advantages, in turn limiting their widespread adoption for designing manycore systems.This project explores system-level techniques (both reactive and proactive) to minimize power dissipation and maximize bandwidth of the silicon-photonic networks (inter-chip and intra-chip), and in turn improve the energy efficiency of manycore systems. In particular, the project focuses on the two largest sources of power consumption in silicon-photonic links - the laser sources and the active tuning of modulator/filter rings (required to maintain resonance under thermal variations). Four techniques - run-time assignment of photonic resources, workload scheduling/migration, memory mapping, and dynamic voltage and frequency scaling (DVFS), that use run-time system dynamics to reconfigure the system for improving its energy efficiency are being investigated. A vertically integrated approach where these system-level techniques are explored while being cognizant of the underlying silicon-photonic link circuits and silicon-photonic devices is adopted.At a broader level, this project paves the way for the rapid adoption of silicon-photonic link technology to enable the design of energy-efficient manycore systems. This can provide energy-efficient computing solutions in turn reducing the cost of operation and carbon footprint of the nation?s computing server farms and data centers. On the educational front, the project leverages the numerous outreach programs run by Boston University to engage students with various backgrounds and levels of education in the different research activities associated with the project.

在过去的几十年中，世界的通用计算能力一直以每年50％以上的速度增长，预计将来这种趋势将继续下去。但是，这种增加的计算能力直接转化为功率耗散的增加。实际上，美国的服务器农场和数据中心在2006年消耗了全国总电量的1.5％，并且这一数字每年都在稳步增长，这对于开发用于计算系统的节能解决方案绝对至关重要。计算机科学家和工程师朝着设计系统的设计系统，在单个模具上具有数十个低功率核心，以解决功率问题，同时通过并行性提高计算能力。但是，由于当前和预计的电气技术缺乏节能的高带宽密度（芯片和芯片）链路解决方案，这些多核系统的部署受到了阻碍。硅光子链路技术可以解决此问题，因为它提供的带宽密度比等效电气链路高。 However, the power consumed in these silicon-photonic links more than offsets any bandwidth advantages, in turn limiting their widespread adoption for designing manycore systems.This project explores system-level techniques (both reactive and proactive) to minimize power dissipation and maximize bandwidth of the silicon-photonic networks (inter-chip and intra-chip), and in turn improve the energy许多核心系统的效率。特别是，该项目着重于硅光子链路中的两个最大功耗来源 - 激光源和调制器/滤清器环的主动调整（在热变化下保持共振所需）。四种技术 - 光子资源的运行时间分配，工作负载调度/迁移，内存映射以及动态电压和频率缩放（DVFS），使用运行时系统动力学来重新配置系统以提高其能源效率的系统。一种垂直集成的方法，在该方法中探索了这些系统级技术，同时采用了基础硅光子链路电路和硅光子设备。在更广泛的级别上，该项目为快速采用硅光子链路技术铺平了方式，以启用能源效果的许多能源系统的设计。这可以提供节能计算解决方案，反过来降低了国家计算服务器农场和数据中心的运营成本和碳足迹。在教育方面，该项目利用波士顿大学开展的众多外展计划，使具有各种背景和教育水平的学生参与与该项目相关的不同研究活动。