SemiSynBio-III: Power Management Strategies for Computing and Storage in Biological, Biohybrid and Synthetic Systems

SemiSynBio-III：生物、生​​物混合和合成系统中计算和存储的电源管理策略

• 批准号: 2227609
• 负责人: Martha Kim
• 金额: $ 150万
• 依托单位: Columbia 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: 2022-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2227609&HistoricalAwards=false
• 关键词: SemiSynBio; III; Power; Management; Strategies

Power management is key to energy-efficient computing and data storage in biological and synthetic systems. This project proposes an interactive approach to study the specific issue of power management in computer systems nerve cells, and emerging hybrid biocomputation devices. Power management refers to the control of energy expenditures in response to demand. For example, a computer may “go to sleep” when not in use, or an organism may reduce blood supply to a dormant region of the brain. Advanced power management can deliver significant energy savings in engineering systems. The project will study power management in brain cells with the goal of discovering the natural strategies. The natural strategies will be compared with engineering approaches for broader understanding and emerging of new concepts, which will be tested in new bio-nano computing and storage devices. It is expected these strategies will result in better performance at lower energy consumption for biological information storage and biocomputers. The team consists of a computer engineer, a biologist, and a materials scientist and their students. An integrated approach to educating K-12, undergraduate and graduate students at the intersection of semiconductor technologies and synthetic biology will be developed.By examining engineering strategies for power management, testable hypotheses about biological mechanisms will be developed. It is expected that the biological mechanisms, in turn, will point towards new bioinspired engineering solutions. The project will define power management strategies employed in neurons and glia (Theme 1), integrate power management into bio-nano hybrid position-based computing devices (Theme 3), and develop tools supporting the design, simulation, and verification of position- based bio-nano circuits with integral power management (Theme 5). Successful completion of the project will deliver an integrated perspective on the benefits and ultimate performance limits of power management strategies, generate new hypotheses and insights into the unparalleled energy efficiency of biological computation, demonstrate advances in the engineering bio-nano hybrid systems, and translate the insights into new solutions for semiconductor devices. An integrated educational approach to enable diverse audiences of K- 12, undergraduate and graduate students to acquire joint expertise in semiconductors and synthetic biology will be developed. The proposed research has the potential to benefit society by advancing our understanding of the mechanisms underlying neuronal functioning, which will advance the prevention and treatment of neurodegenerative diseases; by creating progress towards materials resembling “living materials” in their ability to sense, compute, and respond; and by reducing the energy requirements for data processing and storage, which minimizes the rapidly increasing carbon footprint of computing.This project has been jointly funded by Division of Molecular and Cellular Biosciences (MCB) in the Directorate for Biological Sciences (BIO), Division of Computing and Communication Foundations (CCF) in the Directorate for Computer and Information Science and Engineering (CISE), Division of Electrical, Communications and Cyber Systems (ECCS) in the Directorate for Engineering (ENG), and the Division of Materials Research (DMR) in the Directorate for Mathematical and Physical Sciences (MPS).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.

电源管理是生物学和合成系统中节能计算和数据存储的关键。该项目提出了一种交互式方法，可以研究计算机系统神经细胞中电源管理的特定问题，以及新兴的混合生物代理设备。电力管理是指响应需求的能源支出的控制。例如，计算机在不使用时可能会“入睡”，或者有机体可能会减少大脑休眠区域的血液供应。先进的电源管理可以在工程系统中节省大量能源。该项目将研究脑细胞中的电源管理，以发现自然策略。自然策略将与工程方法进行比较，以更广泛地理解和新概念，这些概念将在新的Bio-Nano计算和存储设备中进行测试。预计这些策略将在生物信息存储和生物计算机的降低能源消耗时会更好地性能。该团队由计算机工程师，一名生物学家和材料科学家及其学生组成。将开发一种对半导体技术和合成生物学交集的K-12，本科和研究生的综合方法。通过检查电力管理的工程策略，将开发有关生物学机制的可检验的假设。预计生物学机制反过来将指向新的生物启发的工程解决方案。该项目将定义神经元和神经胶质（主题1）（主题1）的电力管理策略，将电源管理集成到基于生物纳米混合位置的计算设备（主题3），并开发支持具有整体电源管理的基于位置的生物纳米电路的设计，模拟和验证的工具（主题5）。该项目的成功完成将对电力管理策略的收益和最终性能限制提供综合的观点，从而对生物学计算的无与伦比的能源效率产生新的假设和见解，并证明了工程生物纳米混合系统的进步，并将洞察力转移到半管制设备的新解决方案中。将开发一种综合的教育方法，以使K-12，本科和研究生能够获得半导体和合成生物学方面的共同专业知识。拟议的研究具有通过促进我们对神经元功能基础机制的理解来促进社会的潜力，这将推动预防和治疗神经退行性疾病；通过在材料方面取得类似于“生存材料”的进度，以感知，计算和反应的能力；并通过减少数据处理和存储的能源需求，从而最大程度地减少了计算的碳足迹的迅速增加。该项目已通过分子和细胞生物科学（MCB）在生物科学局（BIO）（BIIO）局（BEIO），计算和通信基础（CCF）的电脑和信息科学和信息科学和机关局（CISE）（CISE，CISE，CISE，CISE，CISE，CISE，CISE，CISE，CISE，CISE，CISE，CISE，CISE，CISE，CISE，CISE）的局（CCF）共同资助。 （ECC）在工程局（ENG）和数学和物理科学局（MPS）的材料研究部（DMR）（MPS）中（MPS）。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛影响的审查标准来评估通过评估来获得的支持。