SHF: Small: Reducing the Cost of Computation in CMPs

SHF：小：降低 CMP 的计算成本

• 批准号: 0916127
• 负责人: Tajana Rosing
• 金额: $ 47.62万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0916127&HistoricalAwards=false
• 关键词: SHF; Small; Reducing; Cost; Computation

"This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5)." Computer processor industry has moved fully into the multi-core era to enable continual scaling of performance, but at the cost of increased energy consumption and increased cooling costs due to higher temperatures and thermal gradients. This proposal describes three major research thrusts that address these costs in multiple ways: (1) New modeling and simulation tools: We will integrate performance, power, temperature, reliability and cooling estimation, so that the designers will be able to analyze the impact of design choices and runtime decisions over significant time spans. (2) Runtime thread scheduling policies: We will identify and demonstrate power and thermal scheduling mechanisms that maintain performance, reduce the total energy consumption, and eliminate or reduce hot spots, but also maximize processor lifetime. The policies will use the data from thermal sensors and performance counters to proactively drive the management decisions. (3) New cooling strategies: Our goal is to create thermal management and cooling control algorithms that work in tandem to reduce the overall energy consumption.The proposed research forms the basis for discovery and learning in the areas of multi core processors, and, more generally, system design and management. Graduate and undergraduate students will be involved in various parts of the proposed research and help in connecting this work with other NSF sponsored projects. The results of research, tools and coursework materials developed will be freely and easily distributed to engineering community at large.

“这项奖励是根据2009年美国复苏和再投资法案（公法111-5）资助的。”计算机处理器行业已经完全进入了多核时代，以实现性能的持续扩展，但代价是由于更高的温度和热梯度而增加了能耗和冷却成本。本提案描述了以多种方式解决这些成本的三个主要研究重点：(1)新的建模和仿真工具：我们将集成性能，功率，温度，可靠性和冷却估计，以便设计人员能够分析设计选择和运行时决策在重要时间跨度内的影响。(2)运行时线程调度策略：我们将确定并演示功率和热调度机制，以保持性能，降低总能耗，消除或减少热点，同时最大化处理器寿命。这些策略将使用来自热传感器和性能计数器的数据来主动驱动管理决策。(3)新的冷却策略：我们的目标是创建热管理和冷却控制算法，协同工作，以降低整体能耗。提出的研究形成了发现和学习的基础，在多核处理器领域，更一般地说，系统设计和管理。研究生和本科生将参与拟议研究的各个部分，并帮助将这项工作与其他NSF资助的项目联系起来。开发的研究成果、工具和课程材料将免费、轻松地分发给整个工程社区。