RIA: An Integrated Approach to High-Performance Network Technology
RIA:高性能网络技术的集成方法
基本信息
- 批准号:9011787
- 负责人:
- 金额:$ 6万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:1990
- 资助国家:美国
- 起止时间:1990-09-01 至 1992-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
An integrated approach towards the synthesis of high-bandwidth, low- latency interconnection networks is pursued that focuses on the interdependence of system architecture, VLSI characteristics and packaging technology. New designs of one-sided crosspoint switching modules that can provide several paths between communicating ports in multichip switches are being studied. An architecture solution is posed for the simultaneous switching noise problem and that has been traditionally tackled at the circuit design and packing levels. Novel schemes for fast arbitration and scheduling through the use of parallel bus-controllers are analyzed under a variety of message traffic conditions. An alternative approach uses artificial neural networks for contention resolution. Trade-offs between switch cost, performance and reliability are studies under these workloads for various chip sizes. Topological testing techniques are used for drastic reduction of test time. The research findings are being incorporated into a set of software tools recently developed at UT Austin for the computer-aided design of networks. Recent technological advances have prompted a resurgence of interest in cross bar-based designs in the industry, despite the requirement of O (N2) switches. Indeed, by considering current VLSI and packaging technology, it can be shown that power dissipation, current driving abilities and pinout limitations easily outweigh circuit density demands of switching networks. This research aims to lay the foundations for the cost-effective design of 128-1024 port crossbars with a sustained bandwidth of 1 GBytes per channel, that can form the core of the next generation of massively parallel machines and switching networks.
对高带宽,低延迟互连网络的综合方法是追求,重点是系统架构,VLSI特性和封装技术的相互依存关系。可以在多片交换机通信端口之间提供多条路径的单侧交叉点交换模块的新设计正在研究中。针对同时开关噪声问题,提出了一种体系结构的解决方案,该问题传统上是在电路设计和封装层面解决的。分析了在各种消息流量条件下,利用并行总线控制器实现快速仲裁和调度的新方案。另一种方法是使用人工神经网络来解决争用。在不同芯片尺寸的工作负载下,研究了开关成本、性能和可靠性之间的权衡。拓扑测试技术用于大幅减少测试时间。这些研究成果正被纳入德克萨斯大学奥斯汀分校最近开发的一套软件工具中,用于网络的计算机辅助设计。尽管对O (N2)开关的要求很高,但最近的技术进步促使业界对基于交叉棒的设计重新产生了兴趣。事实上,考虑到当前的VLSI和封装技术,可以看出功耗、电流驱动能力和引脚限制很容易超过交换网络对电路密度的要求。本研究旨在为每通道持续带宽为1gb的128-1024端口交叉条的经济高效设计奠定基础,这可以形成下一代大规模并行机和交换网络的核心。
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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Joydeep Ghosh其他文献
CUDIA
CUDIA
- DOI:
10.1145/2508037.2508047 - 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Yubin Park;Joydeep Ghosh - 通讯作者:
Joydeep Ghosh
Robust Order Statistics Based Ensembles for Distributed Data Mining
用于分布式数据挖掘的基于稳健阶统计的集成
- DOI:
10.21236/ada396346 - 发表时间:
2001 - 期刊:
- 影响因子:0
- 作者:
Kagan Tumer;Joydeep Ghosh - 通讯作者:
Joydeep Ghosh
Spatially adaptive classification of hyperspectral data with Gaussian processes
高斯过程的高光谱数据空间自适应分类
- DOI:
10.1109/igarss.2009.5418067 - 发表时间:
2009 - 期刊:
- 影响因子:0
- 作者:
G. Jun;Joydeep Ghosh - 通讯作者:
Joydeep Ghosh
A neural network-based associative memory for storing complex-valued patterns
用于存储复值模式的基于神经网络的联想存储器
- DOI:
10.1109/icsmc.1994.400193 - 发表时间:
1994 - 期刊:
- 影响因子:0
- 作者:
S. Chakravarthy;Joydeep Ghosh - 通讯作者:
Joydeep Ghosh
DYNACARE: Dynamic Cardiac Arrest Risk Estimation
DYNACARE:动态心脏骤停风险评估
- DOI:
- 发表时间:
2013 - 期刊:
- 影响因子:0
- 作者:
Joyce Ho;Yubin Park;C. Carvalho;Joydeep Ghosh - 通讯作者:
Joydeep Ghosh
Joydeep Ghosh的其他文献
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{{ truncateString('Joydeep Ghosh', 18)}}的其他基金
III: Small: Core: Monotonic Retargeting: A Scalable Learning Framework for Determining Order
III:小:核心:单调重定向:用于确定顺序的可扩展学习框架
- 批准号:
1421729 - 财政年份:2014
- 资助金额:
$ 6万 - 项目类别:
Continuing Grant
SCH: INT: Collaborative Research: High-throughput Phenotyping on Electronic Health Records using Multi-Tensor Factorization
SCH:INT:协作研究:使用多张量分解对电子健康记录进行高通量表型分析
- 批准号:
1417697 - 财政年份:2014
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
III: Small: Simultaneous Decomposition and Predictive Modeling on Large Multi-Modal Data
III:小型:大型多模态数据的同时分解和预测建模
- 批准号:
1017614 - 财政年份:2010
- 资助金额:
$ 6万 - 项目类别:
Continuing Grant
III-CXT: Collaborative Research: Advanced learning and integrative knowledge transfer approaches to remote sensing and forecast modeling for understanding land use change
III-CXT:协作研究:遥感和预测建模的高级学习和综合知识转移方法,以了解土地利用变化
- 批准号:
0705815 - 财政年份:2007
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
III-COR: Versatile Co-clustering Analysis for Bi-modal and Multi-modal Data
III-COR:双模态和多模态数据的多功能共聚类分析
- 批准号:
0713142 - 财政年份:2007
- 资助金额:
$ 6万 - 项目类别:
Continuing Grant
ITR: Extraction and Interpretation of Information from Large-Scale Hyperspectral Data for Mapping and Monitoring Wetland Ecosystems
ITR:从大规模高光谱数据中提取和解释信息,用于绘制和监测湿地生态系统
- 批准号:
0312471 - 财政年份:2003
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
Knowledge Transfer and Reuse in Multiclassifier Systems
多分类器系统中的知识转移和重用
- 批准号:
9900353 - 财政年份:1999
- 资助金额:
$ 6万 - 项目类别:
Standard Grant
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