CSR:Large:Collaborative Research:Reclaiming Moore's Law through Ultra Energy Efficient Computing

CSR：大型：合作研究：通过超节能计算恢复摩尔定律

• 批准号: 0910699
• 负责人: Chaitali Chakrabarti
• 金额: $ 70.55万
• 依托单位: Arizona State University
• 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 2014-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0910699&HistoricalAwards=false
• 关键词: CSR; Large; Collaborative; Research; Reclaiming

This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). Moore?s law promises consistent increasing transistor densities for the foreseeable future. However, device scaling no longer delivers the energy gains that drove the semiconductor growth of the past several decades. This has created a design paradox: more gates can now fit on a die, but cannot actually be used due to strict power limits. In this project, we will address this energy crisis through the universal application of ?near-threshold computing? (NTC), where devices operate at or near their threshold voltage to obtain 10X or higher energy efficiency improvements. To accomplish this we focus on three key challenges that to date have kept low voltage operation from widespread use: 1) 10X loss in performance, 2) 5X increase in performance variation, and 3) 5 orders of magnitude increase in functional failure. We present a synergistic approach combining methods from algorithm and architecture levels to the circuit and technology levels. We will demonstrate NTC for applications that range from sensor-based platforms which critically depend on ultra-low power (¡ÜmW) and reduced form factor (mm3) to unlock new applications, to high-performance platforms in large data-centers, which dissipate so much power that they require co-location near dedicated cooling facilities. Our end goal is to reduce national energy consumption and environmental impact by providing dramatic gains in energy efficiency while also opening up new application areas in health care by providing for in situ monitoring of biological functions with minimum intervention.

该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。摩尔?S定律保证在可预见的未来晶体管密度会持续增加。然而，器件缩放不再提供过去几十年推动半导体增长的能量增益。这就产生了一个设计悖论：现在可以在一个骰子上安装更多的门，但由于严格的功率限制，实际上不能使用。在这个项目中，我们将通过普遍应用？近门槛计算?（NTC），其中设备工作在或接近其阈值电压，以获得10倍或更高的能效改进。为了实现这一目标，我们专注于迄今为止阻碍低电压操作广泛应用的三个关键挑战：1)性能损失10倍，2)性能变化增加5倍，以及3)功能故障增加5个数量级。我们提出了一种从算法和架构层次到电路和技术层次的协同方法。我们将展示NTC的应用范围，从严重依赖超低功耗（ÜmW）和缩小外形尺寸（mm3）的基于传感器的平台，到大型数据中心的高性能平台，这些平台的功耗很大，需要在专用冷却设施附近的托管位置。我们的最终目标是大幅度提高能源效率，减少国家能源消耗和对环境的影响，同时在医疗保健方面开辟新的应用领域，以最少的干预对生物功能进行现场监测。