IRES: U.S.-Hungary Research Experience for Students on Non-Boolean Computer Architectures

IRES：美国-匈牙利学生非布尔计算机体系结构研究经验

• 批准号: 1358072
• 负责人: Michael Niemier
• 金额: $ 23.88万
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1358072&HistoricalAwards=false
• 关键词: IRES; U.S.; Hungary; Research; Experience

The objective of this U.S.-Hungarian project is to provide early career international research experience (IRES) for U.S. students who will study emerging technologies based on cellular neural networks(CNN)with the goal of enhancing and developing information processing systems. The IRES program of activities will take place in Budapest, overseen by the principal investigator, Michael Niemier, in partnership with colleagues from the University of Notre Dame and faculty at Pázmány Péter Catholic University (PPKE). A CNN is an analog array processor architecture designed to significantly improve the power and performance of various computation-intensive applications, such as image processing, pattern recognition, and motion detection. Together, the U.S.-Hungarian team will pursue effective ways to move away from chip stored program models. By seeking additional functionalities and capabilities, the research mentors and their students expect to leverage new information processing technologies and algorithms to further enhance the functionality of and application spaces for the CNN paradigm.Technical Summary:Via collaboration and mentoring by faculty from the University of Notre Dame and Pázmány Péter Catholic University (PPKE) in Budapest, Hungary, the impact of emerging technologies on architectures, algorithms, and programming will be addressed by IRES student participants. Cooperative research activity will focus on determining whether emerging device technologies that are organized in a CNN-like fashion can be "programmed" and are amenable to template-based operations. U.S. student participants and their PPKE counterparts will study existing hardware designs for improvement by emerging technologies, possibly via lower energy, and if likely, what the resulting impact on programmability will be. For example, the viability of hardware realizations of new CNN-computing models (e.g., frameless computing and delay-based templates) that presently exist only mathematically will be explored. For new application spaces, team efforts will target tactile sensing and focus on developing CNN circuitry with integrated sensing technology. Also of interest are graphene based electronics and developing algorithms to process sensed data. If successful, the U.S.-Hungarian IRES team's combined research activities may lead us to consider new, integrated sensing and tactile data processing techniques for potential heavier load applications in areas such as robots or prosthetic feet.

美国的目标是-匈牙利项目是为美国学生提供早期职业国际研究经验（IRES），这些学生将学习基于细胞神经网络（CNN）的新兴技术，目标是增强和开发信息处理系统。 IRES活动计划将在布达佩斯举行，由首席研究员Michael Niemier与圣母大学的同事和Pázmány Péter天主教大学（PPKE）的教师合作监督。CNN是一种模拟阵列处理器架构，旨在显着提高各种计算密集型应用的功率和性能，例如图像处理，模式识别和运动检测。我们一起-匈牙利团队将寻求有效的方法来摆脱芯片存储的程序模型。 通过寻求额外的功能和能力，研究导师和他们的学生希望利用新的信息处理技术和算法，进一步增强CNN范式的功能和应用空间。技术总结：通过圣母大学和匈牙利布达佩斯的Pázmány Péter天主教大学（PPKE）的教师的合作和指导，IRES学生参与者将解决新兴技术对架构，算法和编程的影响。 合作研究活动将侧重于确定以类似CNN的方式组织的新兴设备技术是否可以被“编程”，并且适合于基于模板的操作。 美国学生参与者和他们的PPKE同行将研究现有的硬件设计，以通过新兴技术进行改进，可能通过降低能耗，如果可能的话，对可编程性的影响将是什么。 例如，新CNN计算模型的硬件实现的可行性（例如，无框架计算和基于延迟的模板）。 对于新的应用领域，团队的努力将针对触觉传感，并专注于开发具有集成传感技术的CNN电路。 同样令人感兴趣的是基于石墨烯的电子器件和开发处理感测数据的算法。 如果成功，美国-匈牙利IRES团队的综合研究活动可能会导致我们考虑新的集成传感和触觉数据处理技术，用于机器人或假肢等领域的潜在更重负载应用。