Phase 1 IUCRC University of Notre Dame: Center for Alternative Sustainable and Intelligent Computing (ASIC)

神经形态电路在硅上模仿人脑的结构和处理能力，有望实现超低功率、高性能的计算。随着政府、研究机构和商业实体的兴趣与日俱增，计算技术和对大脑的理解取得了指数级的进步，出现了各种关键突破。然而，现有的计算体系结构很难在大量的神经形态计算任务中显示出普遍的优势。为了应对这一挑战，该项目将建立替代可持续和智能计算中心(ASIC)。ASIC是一种产学合作伙伴关系，将业界领先成员与学术研究人员结合起来，进行多学科的科学和研究，通过新的电路、架构和计算模型实现高性能和高能效的机器智能。替代可持续和智能计算中心(ASIC)专注于认知应用的替代计算平台，这些平台通常很难在传统的冯·诺伊曼架构上高效执行。ASIC圣母院(ASIC-ND)网站将利用强大的研究背景以及与印第安纳大学医学院和相关行业的长期合作，主要专注于远程医疗和医疗保健相关应用的神经形态计算平台。ASIC的建立预计将加快工业领域新计算图表的开发，并加快技术从研究发现到实用解决方案的转移。ASIC研究将在短期内引入替代计算平台，补充基于冯·诺伊曼架构的传统计算平台，并在长期内定位重要的替代可持续和智能计算等价物，从而对计算机和IT行业产生广泛影响。通过ASIC开发的知识和专业技能将有效地支持认知应用的预期热潮及其对硬件和软件支持的迫切需求。中心PI和行业合作伙伴的人才和专业知识被整合起来，以增强中心成员的能力并加速技术转移。ASIC研究可能涉及学术和行业数据以及公共领域数据。在ASIC关闭后的三年内，这些数据和由此产生的研究产出将使用每类数据的适当最佳做法加以保存。Https://asic.pratt.duke.edu将建立一个中央储存库，适当标记以供适当的参考和记录，以维护从中心项目获得和生成的数据。对所有模型和项目结果的访问将存储在网上，并近乎实时地提供下载，以响应批准的用户请求。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Neuromorphic circuits, which mimic the human brain's structure and processing ability on silicon, promise to enable ultralow power, high performance computing. Various key breakthroughs have emerged from exponential advances in computing technology and understanding brains, with increasing interest from governments, research institutes, and business entities. Nonetheless, existing computing architectures can hardly demonstrate universal advantages in a large variety of neuromorphic computing tasks. To address this challenge, this project will build the Center of Alternative Sustainable and Intelligent Computing (ASIC). ASIC is a collaborative industry-university partnership that joins leading industry members with academic researchers to conduct multidisciplinary science and research to enable high performance and energy efficient machine intelligence through novel circuits, architecture, and computation models.The Center of Alternative Sustainable and Intelligent Computing (ASIC) focuses on alternative computing platforms for cognitive applications, which are in general difficult to be efficiently performed on conventional von Neumann architecture. The ASIC Notre Dame (ASIC-ND) site will focus primarily on neuromorphic computing platforms for telemedicine and healthcare related applications, by leveraging the strong research background and the long-term collaboration with Indiana University School of Medicine and relevant industry sectors. The establishment of ASIC is expected to accelerate the development of new computing diagrams in industry sectors and expedites technology transfer from research discoveries to practical solutions.ASIC research will have broad impact on the computer and IT industries by introducing alternative computing platforms that complement the conventional computing platforms built on von Neumann architectures in the short term, and position alternative sustainable and intelligent computing equivalents important in long term. The knowledge and expertise developed via ASIC will effectively enable the predicted boom in cognitive applications and their urgent demands for hardware and software support. The talent and expertise of center PIs and the industry partners are integrated to enhance the competence of the center members and accelerate technology transfer.ASIC research may involve academic and industrial data along with public domain data. This data and the resulting research outputs will be maintained using appropriate best practices for each type of data for a period of three years after the closing of ASIC. A central repository, suitably tagged for appropriate referencing and documentation, will be set up at https://asic.pratt.duke.edu for maintaining the acquired and generated data from center projects. Access to all models and project results will be stored online and made available for downloading in near real time to respond to approved user requests.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.