FuSe-TG: FAB: A Heterogeneous Ferroelectronics Platform for Accelerating Big Data Analytics

社交媒体、生物医学监测和物联网产生的数据呈指数级增长。从这些大数据中提取有用信息的能力对于各个领域的进步至关重要。海量的数据超出了电子系统处理、交流和存储生成数据的能力。虽然从历史上看，晶体管缩放有助于解决计算需求的增长，但现在缩放已经达到极限，需要新的方法。为此，该项目汇集了专家来实现一个新的基于铁电的平台，该平台可以提供前所未有的机会来扩展第三维度的芯片设计，通过无缝集成来模糊内存和逻辑功能之间的差距，从而加速大数据分析。我们聚集了具有从材料到系统的跨层专业知识的研究人员，创建了一个铁电子学平台，为加速大数据分析提供变革动力。团队合作将有助于吸收更多的专门知识并参与讲习班和试点项目。我们的跨层策略将带来同步的进步，例如利用极化紧凑实现复杂功能的新型多栅极器件，利用铁电体固有特性（如极化域和光学灵敏度）的新架构，以支持新的安全性和传感器功能。以及存储计算，以支持对大量数据的就地分析。新型铁电系统将对从大型数据中心到物联网的计算基础设施的能源效率产生变革性影响。一支高素质的劳动力队伍将成为这一新兴领域全球领导地位的基础。因此，与社区学院、四年制大学和工业界合作的劳动力发展战略将是重点。我们的规划工作还将投资于试点跨机构项目，以加速来自代表性不足社区的个人的参与。计划中的研讨会将评估教育结构和培训项目，以及流程整合和技术提升，以迅速使美国成为铁电创新中心。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Data generated over social media, biomedical monitoring, and the Internet-of-Things are increasing exponentially. The ability to extract useful information from this big data is critical towards advances in varied domains. The enormity of the data is outstripping the ability for electronic systems to process, communicate and store the data that is being generated. While historically transistor scaling helped address the growth in computational needs, with scaling now reaching its limits, new approaches are needed. To this end, this project brings together experts for realizing a new ferroelectric-based platform that can provide unprecedented opportunities to scale chip designs in the third dimension, to blur the gap between memory and logic functionality through seamless integration to accelerate big data analytics. We have gathered together researchers with cross-layer expertise from materials to systems to create a ferroelectronics platform to provide transformative impetus towards accelerating big data analytics. The teaming exercise will help draw in additional expertise and engagement in workshops and pilot projects. Our cross-layer strategies will lead to concurrent advances such as novel multi-gate devices that leverage the polarization for compact implementation of complex functions, new architectures that harness the intrinsic properties of ferroelectrics, such as polarization domains and optical sensitivity, to support novel security and sensor features. and in-storage computing to support in-place analysis of large amounts of data.Novel ferroelectric systems will have transformative impact on energy efficiency of computing infrastructure from large data centers to the Internet-of-Things. A highly capable workforce will be the foundation of global leadership in this emerging area. Consequently, strategies for workforce development in partnership with community colleges, four-year institutions and industry will be a key focus. Our planning effort will also invest in pilot cross-institutional projects to accelerate engagement of individuals from underrepresented communities. Planned workshops will assess the educational structure and training programs along with process integration and technology ramp-up to rapidly establish the United States as the center of ferroelectric innovation.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.