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FuSe-TG: Domain-Specific 3D ReRAM-based Processing-in-Memory Accelerators for Streaming Time Series Applications

FuSe-TG: Domain-Specific 3D ReRAM-based Processing-in-Memory Accelerators for Streaming Time Series Applications
FuSe-TG:用于流时间序列应用的特定领域的基于 3D ReRAM 的内存处理加速器
批准号:
2235398
负责人:
Philip Brisk
金额:
$40.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-06-15 至 2025-05-31
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中文摘要
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英文摘要
Crossbar Array-based Processing-in-Memory (CBA-PIM) technology can be integrated in 3D with domain-specific heterogeneous compute-engines to achieve unprecedented improvements in application performance and power consumption. This FuSe-Teaming Grant will establish a collaboration between researchers at UC Riverside (UCR), Arizona State University, the Georgia Institute of Technology, and Washington State University. A pilot research project will define domain-specific CBA-PIM accelerators for streaming time series data analytics algorithms, integrate state-of-the-art techniques to achieve fault tolerance and reliability, and advance the state-of-the-art in monolithic 3D layout tools to ensure that the proposed devices can be physically realized. An Education and Workforce Development Plan will provide a comprehensive learning experience for graduate and undergraduate student trainees through which they will learn to design, layout, characterize, and program crossbar arrays, through which they will be exposed to a variety of open-source Electronic Design Automation (EDA) tools and crossbar simulators. It will also provide trainees with Diversity, Equity, and Inclusion (DEI) competencies that will prepare them for employment working with future semiconductor technologies.Moore’s Law has characterized miniaturization in semiconductor microelectronic systems for decades. With the slowing and inevitable end of Moore’s Law on the horizon, advances in general-purpose computing technology can no longer sustain semiconductor industry growth. Subsequent advances are projected to occur through application-specific specialization that synergistically exploits future semiconductor technologies. By exposing trainees to these challenges and empowering them to explore potential solutions, the proposed activities will contribute to the development of the skilled technical workforce. The project leads plan to recruit trainees from underrepresented backgrounds to participate in the project; UCR is a Hispanic Serving Institution (OPEID-00131600). Research and education-related materials will be disseminated via a public-facing website dedicated to the project, and research outcomes will be integrated into a graduate course taught at UCR. This material will be also shared with the other project participants and with the general public.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.
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