ITR: Intelligent Memory Architectures and Algorithms to Crack the Protein Folding Problem
ITR: Intelligent Memory Architectures and Algorithms to Crack the Protein Folding Problem
批准号:
0081307
负责人:
Josep Torrellas
金额:
$50.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-08-15 至 2004-07-31
中文摘要
EIA-0081307 Torrellas,Josep伊利诺伊大学ITR:智能内存架构和算法来破解蛋白质折叠问题这个项目是一个多学科的努力,设计从根本上改进的算法,硬件和软件来解决蛋白质折叠问题。 该项目由硬件、软件和计算生物学方面的专家组成,有望在蛋白质折叠的应用方面取得进展,如药物设计和对疾病的理解。 此外,该项目还将研究基于先进IC技术的新硬件和软件。 正在研究的架构将在单个芯片中增加处理器和存储器的集成,软件将利用存储器和处理的接近性。 这项工作与IBM Blue Gene的工作紧密结合,但将研究互补的问题。 特别是,基于仿真的研究将调查下一代智能架构的使用。
英文摘要
EIA-0081307Torrellas, JosepUniversity of IllinoisITR: Intelligent Memory Architectures and Algorithms to Crack the Protein Folding ProblemThis project is a multidisciplinary effort to design fundamentally improved algorithms, hardware, and software to solve the protein folding problem. The project, which teams experts in hardware, software, and computational biology, promises advances in applications of protein folding such as drug design and understanding of diseases. In addition, the project will investigate new hardware and software based on advancing IC technology. The architecture under examination will use increased integration of processors and memory in a single chip, and software will take advantage of the proximity of memory and processing. This work is tightly coupled to the IBM Blue Gene effort, but will investigate complementary issues. In particular, simulation-based studies will investigate the use of next-generation intelligent architectures.
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会议论文
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批准号:1763658
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资助金额:$120.0万
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财政年份:2018
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SPX: Secure, Highly-Parallel Training of Deep Neural Networks in the Cloud Using General-Purpose Shared-Memory Platforms
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XPS: FULL: Breaking the Scalability Wall of Shared Memory through Fast On-Chip Wireless Communication
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批准号:1629431
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SHF: Small: Computer Architecture for Scripting Languages
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资助金额:$50.0万
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依托单位:
SHF: Large: Collaborative Research: Designing the Programmable Many-Core for Extreme Scale Computing
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资助金额:$27.5万
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财政年份:2011
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财政年份:2010
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依托单位:
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批准号:1012099
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财政年份:2001
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依托单位:
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财政年份:1999
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国内基金
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