Planning IUCRC Duke University: Center for Alternative Sustainable and Intelligent Computing
规划 IUCCRC 杜克大学:替代可持续和智能计算中心
基本信息
- 批准号:1738585
- 负责人:
- 金额:$ 1.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-08-01 至 2018-07-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project will help plan for a potential NSF I/UCRC in Alternative Sustainable and Intelligent Computing (ASIC), in order to explore research frontiers in emerging computing platforms for cognitive applications, including speech recognition, face detection and election insights, etc. The planning of the I/UCRC center will be carried out under a unified banner, with inputs from academia, industry, and government stakeholders. As a result, the center will serve as a national platform for interdisciplinary research and communication, charged with investigating advanced computing platforms relevant to various topics of national interests such as national security and smart living, with an eye toward commercialization and economic development for the nation. It will pave the way for designing new computing diagram to address the White House Grand Challenge of developing transformational computing capabilities.Motivated by the fast growth of cognitive applications and the recent significant development progress of underlined technologies, the center will focus on designing alternative computing platforms for these applications, which is generally difficult to be efficiently executed on conventional von Neumann architecture. Industry is in great demand for a revolutionary computing platform designated to these applications and the planned academia-industry consortium is well positioned to meet such demanding needs with real-world applications. The establishment of ASIC, hence, will accelerate the development of the new computing diagram in industry sectors and expedite technology transfer from research discoveries to practical solutions. Duke University (Duke) site leads the coordination of the center and focuses on applications of alternative sustainable and intelligent computing systems, especially embedded systems, healthcare and medical, etc. The research projects performed, if succeed, will benefit computer and IT industries by introducing alternative computing platforms that well complement the conventional systems built on von Neumann architecture in short term, and position alternative sustainability and intelligent computing equivalently important in long term. The obtained knowledge and expertise will effectively backup the predictable booming of cognitive applications and their urgent demands for hardware and software supports. The talents and expertise of center PIs and the industry partners will be effectively integrated to enhance the competence of the center members and accelerate technology transfer process. The key transformative aspect of the planned ASIC is that, the success of the project will make great advances in seamlessly integrating non von Neumann vs. von Neumann architectures for future computing. Upon completion, this planning project will prepare a solid full center proposal for Phase I with strong supports from industry and government members. Broader impacts of the project will be reached by wide dissemination of the project outcomes via publications, seminars, tutorials and workshops, as well as industrial and military courses, social media and technology transfer activities. Students will receive invaluable experience in industry relevant applied research and networking opportunities with industry representatives in order to capitalize these experiences for their eventual employment.
该项目将帮助规划替代可持续和智能计算(ASIC)领域潜在的NSF I/UCRC,以探索用于认知应用的新兴计算平台的研究前沿,包括语音识别、人脸检测和选举洞察等。I/UCRC中心的规划将在统一的旗帜下进行,学术界、工业界和政府利益攸关方将提供意见。因此,该中心将成为一个跨学科研究和交流的国家平台,负责研究与国家安全和智能生活等涉及国家利益的各种主题相关的先进计算平台,着眼于国家的商业化和经济发展。它将为设计新的计算图表铺平道路,以应对白宫开发转型计算能力的巨大挑战。在认知应用程序的快速增长和下划线技术最近的重大开发进展的推动下,该中心将专注于为这些应用程序设计替代计算平台,这些应用程序通常很难在传统的冯·诺伊曼架构上高效执行。业界对专为这些应用指定的革命性计算平台的需求很大,计划中的学术界-行业联盟处于有利地位,可以通过现实世界的应用来满足这种苛刻的需求。因此,ASIC的建立将加快工业部门新计算图表的开发,并加快技术从研究发现到实际解决方案的转移。杜克大学(Duke)负责协调该中心,并专注于替代可持续和智能计算系统的应用,特别是嵌入式系统、医疗保健和医疗等。所开展的研究项目如果成功,将在短期内引入替代计算平台,很好地补充基于冯·诺伊曼架构的传统系统,并在长期内将替代可持续发展和智能计算定位为同等重要,从而使计算机和IT行业受益。所获得的知识和专业知识将有效地支持认知应用的可预见的蓬勃发展及其对硬件和软件支持的迫切需求。中心PIS和行业合作伙伴的人才和专业知识将有效整合,以提升中心成员的能力,加快技术转移进程。计划中的ASIC的关键变革方面是,该项目的成功将在无缝集成非von Neumann和von Neumann架构方面取得巨大进步,以用于未来的计算。建成后,该规划项目将在业界和政府成员的大力支持下,为一期项目准备坚实的全面中心提案。将通过出版物、研讨会、教程和讲习班以及工业和军事课程、社交媒体和技术转让活动广泛传播项目成果,从而实现项目的更广泛影响。学生将获得宝贵的行业相关应用研究经验和与行业代表建立联系的机会,以便为最终就业利用这些经验。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Yiran Chen其他文献
FlexLevel NAND Flash Storage System Design to Reduce LDPC Latency
FlexLevel NAND 闪存存储系统设计可减少 LDPC 延迟
- DOI:
10.1109/tcad.2016.2619480 - 发表时间:
2017-07 - 期刊:
- 影响因子:2.9
- 作者:
Jie Guo;Wujie Wen;Jingtong Hu;王党辉;Hai Lu;Yiran Chen - 通讯作者:
Yiran Chen
TriZone: A Design of MLC STT-RAM Cache for Combined Performance, Energy, and Reliability Optimizations
TriZone:MLC STT-RAM 缓存设计,可实现性能、能耗和可靠性的综合优化
- DOI:
10.1109/tcad.2017.2783860 - 发表时间:
2018-10 - 期刊:
- 影响因子:2.9
- 作者:
Zitao Liu;Mengjie Mao;Tao Liu;Xue Wang;WUjie Wen;Yiran Chen;Hai Li;王党辉;Yukui Pei;Ning Ge - 通讯作者:
Ning Ge
Improving Multilevel Writes on Vertical 3-D Cross-Point Resistive Memory
改进垂直 3D 交叉点电阻存储器的多级写入
- DOI:
10.1109/tcad.2020.3006188 - 发表时间:
2021-04 - 期刊:
- 影响因子:2.9
- 作者:
Chengning Wang;Dan Feng;Wei Tong;Yu Hua;Jingning Liu;Bing Wu;Wei Zhao;Linghao Song;Yang Zhang;Jie Xu;Xueliang Wei;Yiran Chen - 通讯作者:
Yiran Chen
Shift-Optimized Energy-Efficient Racetrack-Based Main Memory
基于移位优化的节能赛道主存储器
- DOI:
10.1142/s0218126618500810 - 发表时间:
2017-09 - 期刊:
- 影响因子:0
- 作者:
王党辉;马浪;张萌;安建峰;Hai Helen Li;Yiran Chen - 通讯作者:
Yiran Chen
Yiran Chen的其他文献
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{{ truncateString('Yiran Chen', 18)}}的其他基金
Conference: 2023 CISE Computer System Research PI Meeting
会议:2023 CISE计算机系统研究PI会议
- 批准号:
2341163 - 财政年份:2023
- 资助金额:
$ 1.5万 - 项目类别:
Standard Grant
Collaborative Research: FuSe: Efficient Situation-Aware AI Processing in Advanced 2-Terminal SOT-MRAM
合作研究:FuSe:先进 2 端子 SOT-MRAM 中的高效态势感知 AI 处理
- 批准号:
2328805 - 财政年份:2023
- 资助金额:
$ 1.5万 - 项目类别:
Continuing Grant
Workshop Proposal: Redefining the Future of Computer Architecture from First Principles
研讨会提案:从第一原理重新定义计算机架构的未来
- 批准号:
2220601 - 财政年份:2022
- 资助金额:
$ 1.5万 - 项目类别:
Standard Grant
Collaborative Research: CCRI:NEW: Research Infrastructure for Real-Time Computer Vision and Decision Making via Mobile Robots
合作研究:CCRI:新:通过移动机器人进行实时计算机视觉和决策的研究基础设施
- 批准号:
2120333 - 财政年份:2021
- 资助金额:
$ 1.5万 - 项目类别:
Standard Grant
AI Institute for Edge Computing Leveraging Next Generation Networks (Athena)
利用下一代网络的人工智能边缘计算研究所 (Athena)
- 批准号:
2112562 - 财政年份:2021
- 资助金额:
$ 1.5万 - 项目类别:
Cooperative Agreement
EAGER: Distributed Heterogeneous Data Analytics via Federated Learning
EAGER:通过联邦学习进行分布式异构数据分析
- 批准号:
2140247 - 财政年份:2021
- 资助金额:
$ 1.5万 - 项目类别:
Standard Grant
Collaborative Research: SHF: Medium: Revitalizing EDA from a Machine Learning Perspective
合作研究:SHF:媒介:从机器学习的角度振兴 EDA
- 批准号:
2106828 - 财政年份:2021
- 资助金额:
$ 1.5万 - 项目类别:
Standard Grant
Collaborative Research: Two-dimensional Synaptic Array for Advanced Hardware Acceleration of Deep Neural Networks
合作研究:用于深度神经网络高级硬件加速的二维突触阵列
- 批准号:
1955246 - 财政年份:2020
- 资助金额:
$ 1.5万 - 项目类别:
Standard Grant
Workshop Proposal: Processing-In-Memory (PIM) Technology - Grand Challenges and Applications
研讨会提案:内存处理 (PIM) 技术 - 重大挑战和应用
- 批准号:
2027324 - 财政年份:2020
- 资助金额:
$ 1.5万 - 项目类别:
Standard Grant
RTML: Large: Collaborative: Harmonizing Predictive Algorithms and Mixed Signal/Precision Circuits via Computation-Data Access Exchange and Adaptive Dataflows
RTML:大型:协作:通过计算数据访问交换和自适应数据流协调预测算法和混合信号/精密电路
- 批准号:
1937435 - 财政年份:2019
- 资助金额:
$ 1.5万 - 项目类别:
Standard Grant
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