COLLABORATIVE RESEARCH: RECONFIGURABLE COMPUTING USING 2D NANOSCALE MEMORY ARRAY FOR MULTIMEDIA SIGNAL PROCESSING

领导建议ECCS-1002237，凯斯西储大学斯瓦鲁普·布尼亚非领导建议ECCS-1002090佐治亚州理工学院Saibal Mukhop adhyay合作研究：使用2D纳米级存储器阵列进行多媒体信号处理的可重构计算摘要：该合作研究项目探索了一个可扩展的可重构计算平台，使用集成的二维易失性或非易失性存储器阵列作为主要计算元素。该平台被称为基于存储器的多媒体信号处理(MBMSP)，利用了这样一个事实，即纳米级硅以及许多新兴纳米级设备的规则和周期性结构都适用于密集、高性能的存储器设计。在MBMSP中，算法任务在功能上被分解为多输入、多输出函数，然后将这些函数映射为存储器阵列中的查找表，并使用小控制器以时分复用、拓扑的方式进行评估。这种完全不同的信息处理方法可以有效地为各种复杂的信号处理系统开发具有高性能、可重构、能效和可靠性的可扩展平台。该研究旨在为MBMSP开发电路-µ-架构-软件协同设计方法，包括提高性能和可扩展性的软件架构；针对存储单元和阵列的电路-µ架构技术，以实现低功耗和健壮性；软硬件协同设计方法，以实现能量和可靠性；以及基于自旋扭矩转移随机存取存储器(STTRAM)的平台，用于将MBMSP扩展到深纳米节点。广泛影响：MBMSP平台可以潜在地改变传统的多媒体信号处理系统设计方法。这项研究将通过课程模块开发和本科生研究项目整合教育。教学单元将适用于当地高中生，其中包括大约40%的少数民族/代表不足的学生，他们每年夏天都会参加凯斯西储大学的大学预科课程。这些单元将侧重于多媒体/数字信号处理系统的实践学习方法和设计它们的新方法。PIS将继续参与促进非裔美国人在工程和科学领域的学术生涯(FACES)和为少数族裔提供暑期本科生研究体验(SURE)。PIS每年夏天都会指导一名确定的学生，并让他们参与到拟议的研究中来。

Lead Proposal ECCS-1002237 Swarup Bhunia, Case Western Reserve UniversityNon-Lead Proposal ECCS-1002090Saibal Mukhopadhyay, Georgia Institute of TechnologyCollaborative Research: Reconfigurable Computing Using 2D Nanoscale Memory Array for Multimedia Signal ProcessingABSTRACTIntellectual Merit: This collaborative research project explores a scalable reconfigurable computing platform for Multimedia Signal Processing (MSP) applications using integrated two-dimensional volatile or non-volatile memory array as the primary computing element. The platform, referred to as Memory Based Multimedia Signal Processing (MBMSP), leverages on the fact that both nanoscale silicon as well as regular and periodic structures of many emerging nanoscale devices are amenable to dense, high-performance memory design. In MBMSP, algorithmic tasks are functionally decomposed into multi-input, multi-output functions, which are then mapped as lookup tables in a memory array and evaluated in a time-multiplexed, topological fashion using a small controller. This fundamentally different approach to information processing can be effective in developing a scalable platform with high-performance, reconfigurability, energy-efficiency and reliability for diverse and complex signal processing systems. The research seeks to develop circuit-µ-architecture-software co-design approach for MBMSP including software architecture to improve performance and scalability; circuit-µ-architecture techniques for memory cell and array to achieve low-power and robustness; software-hardware co-design approach for energy and reliability; and a Spin-Torque-Transfer Random Access Memory (STTRAM) based platform for scaling MBMSP to deep nanometer nodes.Broader Impacts: The MBMSP platform can potentially transform the traditional approach to design multimedia signal processing system. The research will integrate education through course module development and undergraduate research projects. The teaching modules will be adapted for the local high-school students, including about 40% minority/under-represented students, who join the pre-college program at Case Western Reserve University every summer. The modules will focus on hands-on learning approaches for multimedia/digital signal processing systems and new ways to design them. PIs will continue their involvement with Facilitating Academic Careers in Engineering and Science for African-American (FACES) and Summer Undergraduate Research Experience for minorities (SURE). PIs will mentor one SURE student every summer and involve them in the proposed research.