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Collaborative Research: GOALI: New Algorithm and Architecture Solutions for Ultra-High-Throughput Single Carrier Communication System Geared to High Capacity Storage

Collaborative Research: GOALI: New Algorithm and Architecture Solutions for Ultra-High-Throughput Single Carrier Communication System Geared to High Capacity Storage
合作研究:GOALI:面向高容量存储的超高吞吐量单载波通信系统的新算法和架构解决方案
批准号:
0701716
负责人:
Tong Zhang
金额:
$14.4万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2007
资助国家:
美国
项目状态:
已结题
起止时间:
2007-06-01 至 2010-12-31

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中文摘要
翻译
集成、混合和复杂系统明尼苏达大学双城分校Jaekyun Moon伦斯勒理工学院张彤合作:GOALI:面向高容量存储的超高吞吐量单载波通信系统的新算法和体系结构解决方案知识产权优点:高容量、高吞吐量磁盘驱动器是许多现代计算系统的关键组件。该研究旨在设计、集成和联合优化软输出均衡和差错控制算法,以应用于大容量存储。该项目还将产生一种超大规模集成(VLSI)体系结构解决方案,以实现高容量、高吞吐量的数字信息存储,同时考虑到磁盘驱动器通道的限制和特点。具体地说,吞吐量超过5千兆位每秒(Gbps)的“读通道”解决方案针对的是接近每平方英寸1太比特存储密度的磁盘驱动器。要在保持容量的同时达到这样的吞吐量,需要算法研究和VLSI体系结构之间的密切和积极的互动。这两个领域的创新都是必要的。该项目将首先将算法和VLSI实现的共同设计方法应用于软输出网格检测器和纠错解码器,这两个功能块是计算最密集的,因此也是耗能和耗硅的功能块。然后,该项目将对包括均衡器和格子检测器的信号检测子系统以及包括内部差错控制编码和外部纠错编码的编码子系统进行综合设计和优化。第三,应用系统优化来确定各个功能块的最佳配置,以平衡整个数据路径的性能和实施复杂性。通过信号检测和解码模块进行的高级软信息处理是技术基石,重点是基于仅前向网格的软输出均衡器和低密度奇偶校验(LDPC)纠错编码与高速率内部差错控制编码相结合。广泛影响:这项研究有可能促进用于数据存储的极大容量磁盘驱动器的开发,其广泛的应用包括用于“移动互联网”和无线多媒体广播的便携式大容量存储设备。与工业界的密切合作将促进技术向工业界的转移。该项目还将教育学生有关读取通道算法和实现的知识,自然为行业潜在员工提供理论和实际系统约束方面的知识。将积极招聘妇女和其他任职人数不足的群体担任研究助理。课程发展包括一门新的信号处理研究生课程,加强一门本科课程,高级课程和荣誉的设计项目,并将编码/信号处理算法的研究成果纳入现有的数字通信、信息理论和差错控制编码研究生课程。
英文摘要
Integrative, Hybrid and Complex SystemsJaekyun Moon, University of Minnesota-Twin CitiesTong Zhang, Rensselaer Polytechnic InstituteCOLLABORATIVE: GOALI: New Algorithm and Architecture Solutions for Ultra-High-Throughput Single Carrier Communication System Geared to High Capacity StorageIntellectual Merit: High-capacity, high-throughput disk drives are a critical component of many modern computing systems. This research aims to devise, integrate, and jointly optimize soft-output equalization and error control algorithms for application to high-capacity storage. The project will also lead to a very-large-scale-integrated (VLSI) architecture solution for enabling high-capacity, high-throughput storage of digital information, taking into account the constraints and characteristics of the disk drive channel. In particular, a "read channel" solution with a throughput exceeding 5 gigabits per second (Gbps) is targeted for disk drives approaching a storage density of 1 terabit per square inch. To achieve this throughput while maintaining capacity requires close and active interaction between research in algorithms and VLSI architecture. Innovations are necessary in both areas. The project will first apply algorithm and VLSI implementation co-design methods to a soft-output trellis detector and error correction decoder, the two most computationally-intensive and, hence, energy and silicon-hungry functional blocks. The project will then pursue integrated design and optimization of the signal detection sub-system that includes an equalizer and trellis detector and of the coding sub-system that includes inner error control coding and outer error correction coding. Third, system optimization is applied to determine the best configuration of individual functional blocks that balances performance and implementation complexity of the entire data path. Advanced soft-information processing through signal detection and decoder blocks serves as the technical cornerstone, with a focus on forward-only trellis-based soft-output equalizer and low-density parity-check (LDPC) error correction coding combined with high-rate inner error control coding.Broader Impact: This research has the potential to facilitate the development of extremely high-capacity disk drives for data storage, with a wide array of applications including portable mass storage devices for the "mobile Internet" and wireless multimedia broadcasting. Close collaboration with industry will facilitate technology transfer to industry. The project will also educate students on read channel algorithms and implementation, naturally providing industry with potential employees with knowledge of both theory and practical system constraints. Women and other under-represented groups will be actively recruited as research assistants. Curriculum development includes a new graduate-level course on signal processing, enhancements to one undergraduate course, senior and honor's design projects, and incorporating findings on the coding/signal processing algorithms into existing graduate courses on digital communication, information theory and error control coding.
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Collaborative Research: SHF: Medium: Hardware and Software Support for Memory-Centric Computing Systems
  • 批准号:
    2312508
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $33.4万
  • 财政年份:
    2023
  • 负责人:
    Tong Zhang
  • 依托单位:
Collaborative Research: SHF: Medium: A New Direction of Research and Development to Fulfill the Promise of Computational Storage
  • 批准号:
    2210754
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2022
  • 负责人:
    Tong Zhang
  • 依托单位:
CNS Core:Small: Re-thinking the Design of Data Management Software Upon the Arrival of SSDs with Built-in Transparent Compression
  • 批准号:
    2006617
  • 项目类别:
    Standard Grant
  • 资助金额:
    $38.94万
  • 财政年份:
    2020
  • 负责人:
    Tong Zhang
  • 依托单位:
CSR: Small: Software-defied HDDs: A System-centric Design Framework to Minimize Data Storage Cost for Data Centers
  • 批准号:
    1814890
  • 项目类别:
    Standard Grant
  • 资助金额:
    $31.39万
  • 财政年份:
    2018
  • 负责人:
    Tong Zhang
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
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  • 资助金额:
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  • 批准年份:
    2024
  • 负责人:
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  • 依托单位:
Cell Research
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