Collaborative Research: SHF: Small: Enabling Caches and GPUs for Energy Harvesting Systems

合作研究：SHF：小型：为能量收集系统启用缓存和 GPU

• 批准号: 2153749
• 负责人: Changhee Jung
• 金额: $ 20万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-15 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2153749&HistoricalAwards=false
• 关键词: Collaborative; Research; SHF; Small; Enabling

Energy-harvesting systems collect energy from variant ambient sources such as solar power, thermal energy, and radio-frequency radiation. Due to unreliable energy sources, energy-harvesting systems suffer from frequent power failures. Hence, energy-harvesting systems should be able to save the current program states before a power failure, restore the consistent program states when the power comes back, and seamlessly resume program execution as if nothing happened. However, maintaining crash-consistent states across power cycles is challenging. As a result, the current generation of energy-harvesting systems has been designed with simple hardware configurations such as a single central processing unit (CPU) without a cache, delivering limited computing capabilities. Going forward, in the new Internet of Things era, ever-increasing demand for substantially more high-performance energy-harvesting systems capable of supporting emerging artificial-intelligence and machine-learning applications are expected. This project proposes new software and hardware co-design solutions that allow energy-harvesting systems to leverage caches and graphic processing units (GPUs) for high performance and energy efficiency. The project is expected to serve as the foundation to unlock next-generation Internet of Things services, based on battery-less energy-harvesting systems. The project also aims to incorporate research findings in undergraduate teaching and offer K-12 outreach programs for female students to promote more equitable outcomes for women in computer science.The objective of this project is to enable caches and GPUs in energy-harvesting systems and to design next-generation energy harvesting systems with high performance and energy efficiency. To this end, the project proposes compiler- and hardware-based solutions in three research thrusts. The project will explore a compiler-based solution that allows existing energy-harvesting systems to use a traditional data cache without hardware modification. The project will explore a new research direction that avoids expensive logging at run time, yet instead recovers potentially un-persisted stores at reboot time. To achieve better performance, the project aims to design a new hardware-based cache for energy-harvesting systems, which combines the benefits of a write-back cache and a write-through cache without their respective downsides. The project will design the first energy-harvesting GPU system that introduces a new checkpointing solution for GPU registers and a lightweight persistence solution for GPU shared memory.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

能量收获系统从太阳能，热能和射频辐射等变异的环境来源收集能量。由于能源不可靠，能量收获的系统遭受了频繁的功率故障。因此，能源收获系统应该能够在电源故障之前保存当前的程序状态，恢复电源返回时一致的程序指示，并无缝恢复程序执行，好像什么都没发生。但是，在电源周期中保持碰撞一致的状态具有挑战性。结果，当前一代的能量收获系统是通过简单的硬件配置设计的，例如没有缓存的单个中央处理单元（CPU），提供了有限的计算功能。展望未来，在新事物互联网时代，预计对能够支持新兴的人工智能和机器学习应用程序的更高性能的能源收获系统的需求不断增加。该项目提出了新的软件和硬件共同设计解决方案，允许能源收获系统利用缓存和图形处理单元（GPU）提高高性能和能源效率。预计该项目将作为基础，以基于无电池的能源收获系统来解锁下一代物联网服务。该项目还旨在将研究结果纳入本科教学中，并为女学生提供K-12外展计划，以促进计算机科学中女性更公平的成果。该项目的目的是在能源收获系统中启用缓存和GPU，并设计具有高性能和能源效率的下一代能源收获系统。为此，该项目提出了三个研究推力的基于编译器和基于硬件的解决方案。该项目将探索基于编译器的解决方案，该解决方案允许现有的能源收获系统使用传统的数据缓存而无需修改硬件。该项目将探索一个新的研究方向，该方向避免了在运行时昂贵的记录，但在重新启动时会恢复潜在的未经使用的商店。为了取得更好的性能，该项目旨在为能量收获系统设计一个新的基于硬件的高速缓存，该缓存结合了写下后背缓存的好处和不相同的缺点的写入缓存。该项目将设计第一个能源收获的GPU系统，该系统为GPU寄存器引入了新的检查点解决方案，并针对GPU共享内存提供了轻巧的持久解决方案。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估审查审查标准来通过评估来通过评估来提供支持的。