XPS: EXPL: CCA: Optical Data Containers
XPS:EXPL:CCA:光学数据容器
基本信息
- 批准号:1533842
- 负责人:
- 金额:$ 30万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-09-01 至 2018-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Computer systems today are all built around what is called the von Neumann architecture where the computation subsystem and the memory subsystem are separately designed and considered. This model has served the industry well for several decades. It does, however, create a bottleneck (referred as the von Neumann bottleneck) between the two subsystems. The increasing scale and dependence on data in modern computers put more and more stress on the von Neumann bottleneck, limiting computer speed and increasing energy costs. New technologies to address this problem can significantly improve all computers including modern data centers and supercomputers that are shouldering ever more responsibilities in science, medicine, engineering, business and commerce, and everyday life of an average citizen. This project is an effort to develop one such technology.The research centers around a novel nano-scale device recently developed by one of the investigators of the project. The device is called a coupled-disk resonator or CDR for short. CDR contains two flat disks very closely placed together. The fascinating property is that, thanks to technology, these disks can be shrunk down to nano-scale and placed in close proximity precisely. As a result, they can interact with light in a variety of controllable ways that allow computer designers to build superior optical communication systems than possible today. More excitingly, the CDRs can be manipulated to perform (simple) computations directly without having to convert optical signals first to electronic signals as is the case today. The potential outcome is not only high-performance communication channels, but smart ones that can significantly mitigate the von Neumann bottleneck. In this project, the investigators will study and experiment with the designs of both the device and the system built with these devices in an effort to bring this potential technology closer to reality.
今天的计算机系统都是围绕所谓的冯·诺依曼架构构建的,其中计算子系统和存储器子系统是分开设计和考虑的。这种模式已经为这个行业服务了几十年。然而,它确实在两个子系统之间产生了一个瓶颈(称为冯诺依曼瓶颈)。随着现代计算机规模的不断扩大和对数据的依赖性越来越大,冯·诺依曼瓶颈受到越来越多的压力,限制了计算机的速度并增加了能源成本。解决这个问题的新技术可以显着改善所有计算机,包括现代数据中心和超级计算机,它们在科学,医学,工程,商业和商业以及普通公民的日常生活中承担着越来越多的责任。这个项目就是为了开发这样一种技术而进行的,研究中心是该项目的一名研究人员最近开发的一种新型纳米级设备。该装置被称为耦合盘谐振器或简称CDR。CDR包含两个紧密放置在一起的扁平磁盘。令人着迷的是,由于技术的发展,这些磁盘可以缩小到纳米级,并精确地放置在非常接近的位置。因此,它们可以以各种可控的方式与光相互作用,使计算机设计师能够构建比今天更优越的上级光通信系统。更令人兴奋的是,CDR可以被操纵来直接执行(简单的)计算,而不必像今天这样首先将光信号转换为电子信号。潜在的结果不仅是高性能的通信信道,而且是可以显著缓解冯诺依曼瓶颈的智能信道。在这个项目中,研究人员将研究和实验设备的设计以及使用这些设备构建的系统,以使这种潜在的技术更接近现实。
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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Michael Huang其他文献
An Evaluation of Falls, Syncope, and Dizziness by Prolonged Ambulatory Cardiographic Monitoring in a Geriatric Institutional Setting
在老年机构环境中通过长时间动态心电图监测评估跌倒、晕厥和头晕
- DOI:
10.1111/j.1532-5415.1982.tb03697.x - 发表时间:
1982 - 期刊:
- 影响因子:6.3
- 作者:
M. Gordon;Michael Huang;C. Gryfe - 通讯作者:
C. Gryfe
Ising-CF: A Pathbreaking Collaborative Filtering Method Through Efficient Ising Machine Learning
Ising-CF:通过高效 Ising 机器学习实现的开创性协同过滤方法
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Zhuo Liu;Yunan Yang;Zhenyu Pan;Anshujit Sharma;Amit Hasan;Caiwen Ding;Ang Li;Michael Huang;Tong Geng - 通讯作者:
Tong Geng
1550-nm wavelength-tunable HCG VCSELs
1550 nm 波长可调谐 HCG VCSEL
- DOI:
10.1117/12.2041821 - 发表时间:
2014 - 期刊:
- 影响因子:0
- 作者:
C. Chase;Y. Rao;Michael Huang;C. Chang - 通讯作者:
C. Chang
Reduction in New Onset Diabetes After Transplant (NODAT) with Erythropoietin-Stimulating Agents, a Case Control Study
- DOI:
10.1016/j.jcjd.2013.08.133 - 发表时间:
2013-10-01 - 期刊:
- 影响因子:
- 作者:
Tess Montada-Atin;Diana Choi;Minna Woo;Ravi Retnakaran;Michael Huang;Ramesh Prasad;Jeffrey S. Zaltzman - 通讯作者:
Jeffrey S. Zaltzman
Performing Machine Learning Based Outlier Detection for Automotive Grade Products
对汽车级产品执行基于机器学习的异常值检测
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Y. L. Yang;P. Tsao;C. W. Lin;Ross Lee;Olivia Ni;T. T. Chen;Y. Ting;C. Lai;Jason Yeh;Arnold Yang;Wayne Huang;Peng Chen;Charly Tsai;Ryan Yang;Y. S. Huang;B. Hsu;M. Z. Lee;T. H. Lee;Michael Huang;Coming Chen;L. Chu;H. Kao;N. S. Tsai;Hsinchu Taiwan MediaTek Inc. - 通讯作者:
Hsinchu Taiwan MediaTek Inc.
Michael Huang的其他文献
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{{ truncateString('Michael Huang', 18)}}的其他基金
FET: Small: Increasing Robustness, Efficacy, and Capability of CMOS-Compatible Electronic Ising Machines
FET:小型:提高 CMOS 兼容电子发射机的鲁棒性、效率和能力
- 批准号:
2233378 - 财政年份:2023
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
ASCENT: Using Optical Frequency Comb for Ultrafast Nature-Based Computing for Machine Learning Algorithms
ASCENT:使用光学频率梳进行机器学习算法的超快基于自然的计算
- 批准号:
2231036 - 财政年份:2022
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
CCF: Medium: Collaborative Research: SHF: Cascode: Supporting and Leveraging Voltage Stacking in Future Microprocessors
CCF:中:协作研究:SHF:共源共栅:支持和利用未来微处理器中的电压堆叠
- 批准号:
1514433 - 财政年份:2015
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
Software Susceptibility-Driven Non-Uniform Memory Error Protection
软件敏感性驱动的非一致内存错误保护
- 批准号:
1255729 - 财政年份:2013
- 资助金额:
$ 30万 - 项目类别:
Continuing Grant
CSR: Small: System Support for SSD-Backed Recoverable Network Applications
CSR:小型:对 SSD 支持的可恢复网络应用程序的系统支持
- 批准号:
1217372 - 财政年份:2012
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
CSR: Small: Towards a Co-Designed Latency-Centric On-Chip Communication Substrate
CSR:小:迈向共同设计的以延迟为中心的片上通信基板
- 批准号:
1217662 - 财政年份:2012
- 资助金额:
$ 30万 - 项目类别:
Standard Grant
CAREER: Understanding and Exploring Performance-Correctness Explicitly Decoupled Architecture
职业:理解和探索性能正确性显式解耦架构
- 批准号:
0747324 - 财政年份:2008
- 资助金额:
$ 30万 - 项目类别:
Continuing Grant
Collaborative Research: SMA: Accurate Temperature Measurement Infrastructure and Methodology for Power, Variability, and Reliability Analysis
合作研究:SMA:用于功率、可变性和可靠性分析的精确温度测量基础设施和方法
- 批准号:
0719790 - 财政年份:2007
- 资助金额:
$ 30万 - 项目类别:
Continuing Grant
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