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CAREER: Care and Feeding of High-Performance Processors with Reconfigurable Memory Systems

CAREER: Care and Feeding of High-Performance Processors with Reconfigurable Memory Systems
职业:具有可重构内存系统的高性能处理器的维护和喂养
批准号:
9733475
负责人:
Frederic Chong
金额:
$23.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1998
资助国家:
美国
项目状态:
已结题
起止时间:
1998-03-15 至 2004-02-29

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*** 9733475 Chong Microprocessor performance continues to increase faster than memory performance, so that computer systems face a memory bottleneck. The goal of this project is to distribute logic within memory systems so that some computations can be performed in the memory system without transferring data to the processor. By fabricating field-programmable gate arrays and memory on the same chip, computations for fine-grained data manipulation can be distributed to the memory system at run time to speed up specific applications.A crucial research issue in such a design is the partitioning of computations between high-performance processors and the distributed logic. This project is investigating this partitioning on a range of appilications, including integer programming for compiler register allocation, filters for image and video editing, internet routing, graph matching for intrusion detection, and protein sequence matching. Educational plans include the updating of several existing courses in computer architecture, the development of new courses in reconfigurable computing, and the incorporation of undergraduate research into the project. Expected outcomes of this project include a methodology for designing reconfigurable memory systems and using them in computations, an infrastructure of simulation tools and hardware prototypes, students trained in applications-driven system design, and web-based educational software to support collaborative projects in computer architecture. ***
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Collaborative Research: EPiQC: Enabling Practical-Scale Quantum Computation
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  • 项目类别:
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  • 资助金额:
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Collaborative Research: PIF: Scalable Quantum Computers in the Presence of Physical Noise: a Study of Surface Codes with Realistic Errors at the Algorithmic Level
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Collaborative Research: PIF: Scalable Quantum Computers in the Presence of Physical Noise: a Study of Surface Codes with Realistic Errors at the Algorithmic Level
Collaborative Research: EMT: Novel Operations, Circuit Optimization, and Technology Evaluation for Large-Scale, Fault-Tolerant Quantum Computing
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