EAGER: Exploring Extreme-Scale DNA-based Storage Systems
EAGER: Exploring Extreme-Scale DNA-based Storage Systems
批准号:
1650148
负责人:
James Tuck
金额:
$29.96万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-01 至 2020-08-31
中文摘要
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英文摘要
Civilization increasingly relies on computer technology and access to large databases of searchable information for all facets of life, with the world's digital data projected to exceed 16 zettabytes in 2017. However, long-term, reliable storage of this vast amount of digital data greatly exceeds the capacity of any computer system even when accounting for expected advances in the storage industry. Extraordinary breakthroughs in storage technology are needed.DNA offers a potentially transformative solution due to its high raw capacity of 1 zettabyte per cubic centimeter. To put that in perspective, the best technology available today would require 100,000 cubic meters of volume to store the equivalent amount of information. If successful as a storage medium, DNA could hold the world?s entire digital data in a relatively small volume.This project's key objectives are to quantify the limitations imposed by the properties of DNA on extreme storage systems, and to engineer solutions to surpass them. To enable reliable exabyte capacities, this proposal specifically focuses on new and transformative approaches to encode data in DNA that require both developing and harnessing a deeper understanding of the chemo-physical characteristics of DNA. Interestingly, extreme DNA storage systems cannot yet be synthesized using existing technologies, yet their properties must be studied to motivate and inform their development. To achieve this, a computationally and experimentally simulated extreme capacity model system will be developed that can be used to study pertinent properties.The project is lead by an expert in computer systems, and an expert in molecular biology and DNA manipulation and processing. The team will apply a highly coordinated combination of computer systems theory and design, simulation, and molecular biology experiments to address critical barriers to high-capacity DNA storage. This project will support the training of two Ph.D. students in the area of DNA-based Storage Systems.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1038/s41467-020-16797-2
发表时间:
2020-06-12
期刊:
NATURE COMMUNICATIONS
影响因子:
16.6
作者:
[Lin, Kevin N., Volkel, Kevin, Keung, Albert J.]
通讯作者:
Keung, Albert J.
DOI:
10.1021/acssynbio.9b00100
发表时间:
2019-06-01
期刊:
ACS SYNTHETIC BIOLOGY
影响因子:
4.7
作者:
[Tomek, Kyle J., Volkel, Kevin, Keung, Albert J.]
通讯作者:
Keung, Albert J.
CNS Core: Medium: Thermodynamically-driven design of high capacity, practical DNA-based data storage systems
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批准号:1901324
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项目类别:Continuing Grant
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资助金额:$121.6万
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财政年份:2019
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负责人:James Tuck
-
依托单位:
CNS: SHF: Small: Architectural Support for Efficient and Programmable Non-Volatile Main Memory
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批准号:1717486
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项目类别:Standard Grant
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资助金额:$51.58万
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财政年份:2017
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负责人:James Tuck
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依托单位:
Student Travel Support for the 2015 International Symposium on Computer Architecture (ISCA-42)
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批准号:1523322
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项目类别:Standard Grant
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资助金额:$1.5万
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财政年份:2015
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负责人:James Tuck
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依托单位:
Student Travel Support for the 2014 International Symposium on Computer Architecture (ISCA-41)
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批准号:1414472
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项目类别:Standard Grant
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资助金额:$1.5万
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财政年份:2014
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负责人:James Tuck
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依托单位:
Exploring Cross-Layer, Integrated Approaches for Improving The Reliability of Heterogeneous Multicore Processors
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批准号:1255762
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项目类别:Continuing Grant
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资助金额:$18.0万
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财政年份:2013
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负责人:James Tuck
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依托单位:
CSR: Small: A Practical Data Dependence Profiler for Program Characterization and Optimization
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批准号:1320356
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项目类别:Standard Grant
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资助金额:$38.41万
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财政年份:2013
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负责人:James Tuck
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依托单位:
EAGER: Software Exposed Hardware Signatures for Code Analysis, Optimization and Debugging
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批准号:0952832
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项目类别:Standard Grant
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资助金额:$9.98万
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财政年份:2009
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负责人:James Tuck
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依托单位:
CSR-PSCE, SM: Exploring Helper Computing Parallelism in Multicore Architectures
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批准号:0834664
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项目类别:Continuing Grant
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资助金额:$37.0万
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财政年份:2008
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负责人:James Tuck
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依托单位:
国内基金
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