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

协作研究：使用 2D 纳米级存储阵列进行可重构计算进行多媒体信号处理

• 批准号: 1002090
• 负责人: Saibal Mukhopadhyay
• 金额: $ 17.55万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2014-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1002090&HistoricalAwards=false
• 关键词: COLLABORATIVE; RESEARCH; RECONFIGURABLE; COMPUTING; USING

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.

牵头提案ECCS-1002237 Swarup Bhunia，凯斯西储大学非牵头提案ECCS-1002090 Saibal Mukhopadhyay，格鲁吉亚理工学院合作研究：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智力优势：这个合作研究项目探索了一个可扩展的可重构计算平台，用于多媒体信号处理（MSP）应用，使用集成的两个-三维易失性或非易失性存储器阵列作为主要计算元件。该平台被称为基于存储器的多媒体信号处理（MBMSP），它利用了纳米级硅以及许多新兴纳米级器件的规则和周期性结构都适用于密集，高性能存储器设计的事实。在MBMSP中，算法任务在功能上被分解为多输入，多输出功能，然后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的拓扑方式进行评估。这种完全不同的信息处理方法可以有效地开发一个可扩展的平台，具有高性能，可重构性，能源效率和可靠性，用于各种复杂的信号处理系统。该研究旨在为MBMSP开发电路-微架构-软件协同设计方法，包括用于提高性能和可扩展性的软件架构;用于存储单元和阵列的电路-微架构技术，以实现低功耗和鲁棒性;用于能量和可靠性的软件-硬件协同设计方法;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。MBMSP平台可以潜在地改变设计多媒体信号处理系统的传统方法。该研究将通过课程模块开发和本科研究项目整合教育。教学模块将适应当地高中学生，包括约40%的少数民族/代表性不足的学生，他们每年夏天参加凯斯西储大学的大学预科课程。这些模块将侧重于多媒体/数字信号处理系统的实践学习方法以及设计它们的新方法。PI将继续参与促进非裔美国人（FACES）的工程和科学学术职业和少数民族（SURE）的夏季本科生研究经验。PI每年夏天将指导一名SURE学生，并让他们参与拟议的研究。