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Capacitive neural network with neuro-transistors

Nature communications, 2018-08, Vol.9 (1), p.3208-10, Article 3208

2018

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A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning

2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS), 2017, p.372-382

2017

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In situ training of feed-forward and recurrent convolutional memristor networks

Nature machine intelligence, 2019-09, Vol.1 (9), p.434-442

2019

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Harvesting-Aware Power Management for Real-Time Systems With Renewable Energy

IEEE transactions on very large scale integration (VLSI) systems, 2012-08, Vol.20 (8), p.1473-1486

2012

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Integration and Co-design of Memristive Devices and Algorithms for Artificial Intelligence

iScience, 2020-12, Vol.23 (12), p.101809-101809, Article 101809

2020

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Distributed task migration for thermal management in many-core systems

Design Automation Conference, 2010, p.579-584

2010

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A Multi-Agent Framework for Thermal Aware Task Migration in Many-Core Systems

IEEE transactions on very large scale integration (VLSI) systems, 2012-10, Vol.20 (10), p.1758-1771

2012

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A Parallel Neuromorphic Text Recognition System and Its Implementation on a Heterogeneous High-Performance Computing Cluster

IEEE transactions on computers, 2013-05, Vol.62 (5), p.886-899

2013

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In-memory and in-sensor reservoir computing with memristive devices

APL machine learning, 2024-03, Vol.2 (1), p.010901-010901-18

2024

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Guest Editorial: IEEE TC Special Issue On Software, Hardware and Applications for Neuromorphic Computing

IEEE transactions on computers, 2022-11, Vol.71 (11), p.2705-2706

2022

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Dynamic thermal management for multimedia applications using machine learning

2011 48th ACM/EDAC/IEEE Design Automation Conference (DAC), 2011, p.95-100

2011

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Structural design optimization for deep convolutional neural networks using stochastic computing

Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017, 2017, p.250-253

2017

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Energy Aware Dynamic Voltage and Frequency Selection for Real-Time Systems with Energy Harvesting

2008 Design, Automation and Test in Europe, 2008, p.236-241

2008

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An adaptive scheduling and voltage/frequency selection algorithm for real-time energy harvesting systems

2009 46th ACM/IEEE Design Automation Conference, 2009, p.782-787

2009

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End-to-End Energy Management

Computer (Long Beach, Calif.), 2011-11, Vol.44 (11), p.75-77

2011

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An FPGA-Based Distributed Computing System with Power and Thermal Management Capabilities

2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN), 2011, p.1-6

2011

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Improving charging efficiency with workload scheduling in energy harvesting embedded systems

2013 50th ACM/EDAC/IEEE Design Automation Conference (DAC), 2013, p.1-8

2013

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The applications of memristor devices in next-generation cortical processor designs

2015 IEEE International Symposium on Circuits and Systems (ISCAS), 2015, p.17-20

2015

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HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks

IEEE transactions on computer-aided design of integrated circuits and systems, 2019-08, Vol.38 (8), p.1543-1556

2019

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Cloning your mind: security challenges in cognitive system designs and their solutions

2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC), 2015, p.1-5

2015

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A Framework of Stochastic Power Management Using Hidden Markov Model

2008 Design, Automation and Test in Europe, 2008, p.92-97

2008

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Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning—Part 2

ACM journal on emerging technologies in computing systems, 2021-10, Vol.17 (4), p.1-2

2021

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Bio-inspired computing with resistive memories - models, architectures and applications

2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2014, p.834-837

2014

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Achieving autonomous power management using reinforcement learning

ACM transactions on design automation of electronic systems, 2013-03, Vol.18 (2), p.1-32

2013

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CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices

2017 50th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2017, p.395-408

2017

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Capacitive neural network with neuro-transistors

A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning

In situ training of feed-forward and recurrent convolutional memristor networks

Harvesting-Aware Power Management for Real-Time Systems With Renewable Energy

Integration and Co-design of Memristive Devices and Algorithms for Artificial Intelligence

Distributed task migration for thermal management in many-core systems

A Multi-Agent Framework for Thermal Aware Task Migration in Many-Core Systems

A Parallel Neuromorphic Text Recognition System and Its Implementation on a Heterogeneous High-Performance Computing Cluster

In-memory and in-sensor reservoir computing with memristive devices

Guest Editorial: IEEE TC Special Issue On Software, Hardware and Applications for Neuromorphic Computing

Dynamic thermal management for multimedia applications using machine learning

Structural design optimization for deep convolutional neural networks using stochastic computing

Energy Aware Dynamic Voltage and Frequency Selection for Real-Time Systems with Energy Harvesting

An adaptive scheduling and voltage/frequency selection algorithm for real-time energy harvesting systems

End-to-End Energy Management

An FPGA-Based Distributed Computing System with Power and Thermal Management Capabilities

Improving charging efficiency with workload scheduling in energy harvesting embedded systems

The applications of memristor devices in next-generation cortical processor designs

HEIF: Highly Efficient Stochastic Computing-Based Inference Framework for Deep Neural Networks

Cloning your mind: security challenges in cognitive system designs and their solutions

A Framework of Stochastic Power Management Using Hidden Markov Model

Introduction to the Special Issue on Hardware and Algorithms for Efficient Machine Learning—Part 2

Bio-inspired computing with resistive memories - models, architectures and applications

Achieving autonomous power management using reinforcement learning

CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices

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