E2CDA: Type I: Probabilistic Spin Logic for Low-Energy Boolean and Non-Boolean Computing
E2CDA: Type I: Probabilistic Spin Logic for Low-Energy Boolean and Non-Boolean Computing
批准号:
1739635
负责人:
Joerg Appenzeller
金额:
$245.38万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-10-01 至 2021-09-30
中文摘要
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英文摘要
Various components of hardware and software have come together to make this electronic revolution surrounding smartphones and the like possible. To further expand our capabilities, to enter a new era of even more comprehensive networking between individual users and the cloud, as well as to solve problems of a complexity level that cannot be tackled even with today's computers, there is the need to push the frontiers of data processing beyond anything that can be achieved through "conventional" electronics. One approach is to improve the hardware further. However the latter has been historically mainly focused on making devices ever smaller, thus gaining the benefit of a more compact but very power hungry electronics. The current project revolves around a novel device that uses electron spins rather than electron charges for information processing, and holds the promise to achieve the above mentioned goals at a power consumption level that is far smaller than what can be envisioned with conventional technologies. At the same time the project aims at a new level of education and dissemination through the concept that we call "atoms to systems". A new generation of engineers requires skill sets and a knowledge base that is different from what was learned previously. A high priority of the project is thus to make the models and ideas that underlie them accessible across science and engineering.There is increasing interest in a fundamentally different form of brain-like logic based on probabilistic inference that is far more effective and energy efficient in dealing with the problems of search and recognition posed by the ever increasing amounts of "big data". Probabilistic logic is currently implemented with software algorithms that run on a deterministic computing platform. The goal is to lay the foundation for a new P(robabilistic)-computing platform using unstable multiferroics, a manmade material combination that combines distinct electrical, mechanical and magnetic properties. Unlike quantum computers, P-computers should operate robustly at room temperature, while providing some aspects of the "quantum parallelism" that facilitates the solution of hard problems. The team will work on the material, device and circuit development of this novel probabilistic computing idea. Technical work related to the characterization of novel material properties, the impact of various structural parameters and architectural aspects will all be explored in parallel by the group of experts.
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Composable Probabilistic Inference Networks Using MRAM-based Stochastic Neurons
使用基于 MRAM 的随机神经元的可组合概率推理网络
DOI:
--
发表时间:
2019
期刊:
ACM journal on emerging technologies in computing systems
影响因子:
2.2
作者:
[Zand, Ramtin, Camsari, kerem Y., Datta, Supriyo, DeMara, Ronald F.]
通讯作者:
DeMara, Ronald F.
DOI:
10.1049/iet-cdt.2017.0145
发表时间:
2018-02
期刊:
IET Comput. Digit. Tech.
影响因子:
--
作者:
[Steven D. Pyle;Kerem Y Çamsarı;R. Demara]
通讯作者:
Steven D. Pyle;Kerem Y Çamsarı;R. Demara
DOI:
10.1109/tc.2019.2949042
发表时间:
2020-03-01
期刊:
IEEE TRANSACTIONS ON COMPUTERS
影响因子:
3.7
作者:
[Roohi, Arman, Sheikhfaal, Shadi, DeMara, Ronald F.]
通讯作者:
DeMara, Ronald F.
DOI:
10.1109/jxcdc.2019.2911046
发表时间:
2019-04
期刊:
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits
影响因子:
2.4
作者:
[Steven D. Pyle;Ramtin Zand;Shadi Sheikhfaal;R. Demara]
通讯作者:
Steven D. Pyle;Ramtin Zand;Shadi Sheikhfaal;R. Demara
AQuRate: MRAM-based Stochastic Oscillator for Adaptive Quantization Rate Sampling of Spectrally Sparse Signals
AQuRate:基于 MRAM 的随机振荡器,用于频谱稀疏信号的自适应量化率采样
DOI:
--
发表时间:
2019
期刊:
ACM Great Lakes Symposium on VLSI
影响因子:
--
作者:
[Salehi, S., Zand, R., Zaeemzadeh, A., Rahnavard, N., DeMara, R. F.]
通讯作者:
DeMara, R. F.
共 34 条
Collaborative Research: FET: Medium: Probabilistic Computing Through Integrated Nano-devices – A Device to Systems Approach
-
批准号:2106501
-
项目类别:Continuing Grant
-
资助金额:$66.0万
-
财政年份:2021
-
负责人:Joerg Appenzeller
-
依托单位:
GOALI: Gated Tunneling Devices from Nano-wire Core Shell Structures for Low-poer Applications
-
批准号:0852965
-
项目类别:Standard Grant
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资助金额:$35.0万
-
财政年份:2009
-
负责人:Joerg Appenzeller
-
依托单位:
国内基金
海外基金
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负责人:黎景卫
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