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Keyword

energy-efficient computing

Description: Energy-efficient computing is the design and operation of computing systems to reduce energy consumption while providing computational services.
OpenAlex ID: keywords/energy-efficient-computing
Memristive devices for computing
2012 · J. Joshua Yang, Dmitri B. Strukov, et al. · Nature Nanotechnology · 3,882
Wattch
2000 · David Brooks, Vivek Tiwari, et al. · Proceedings - International Symposium on Computer Architecture/Proceedings · 2,578
Neuromorphic electronic systems
1990 · C. Mead · Proceedings of the IEEE · 2,365
In-memory computing with resistive switching devices
2018 · Daniele Ielmini, H.-S. Philip Wong · Nature Electronics · 2,288
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Fully hardware-implemented memristor convolutional neural network
2020 · Peng Yao, Huaqiang Wu, et al. · Nature · 2,171
1.1 Computing's energy problem (and what we can do about it)
2014 · Mark Horowitz · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · 2,157
Energy-efficient computing for wildlife tracking
2002 · Philo Juang, Hidekazu Oki, et al. · International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · 1,806
Deep learning in spiking neural networks
2018 · Amirhossein Tavanaei, Masoud Ghodrati, et al. · Neural Networks · 1,403
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Single-chip microprocessor that communicates directly using light
2015 · Chen Sun, Mark T. Wade, et al. · Nature · 1,310
Complementary resistive switches for passive nanocrossbar memories
2010 · Eike Linn, Roland Rosezin, et al. · Nature Materials · 1,274
A survey of design techniques for system-level dynamic power management
2000 · L. Benini, A. Bogliolo, et al. · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · 1,241
Resistive switching materials for information processing
2020 · Zhongrui Wang, Huaqiang Wu, et al. · Nature Reviews Materials · 1,212
Neuromorphic computing using non-volatile memory
2016 · Geoffrey W. Burr, Robert M. Shelby, et al. · Advances in Physics X · 1,166
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Wattch: a framework for architectural-level power analysis and optimizations
2002 · D. Brooks, V. Tiwari, et al. · 1,165
Real-time dynamic voltage scaling for low-power embedded operating systems
2001 · Padmanabhan Pillai, Kang G. Shin · 1,146
A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems
2011 · Anton Beloglazov, Rajkumar Buyya, et al. · Advances in computers · 777
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Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Engine
2018 · Miao Hu, Catherine E. Graves, et al. · Advanced Materials · 750
Advancing Neuromorphic Computing With Loihi: A Survey of Results and Outlook
2021 · Mike Davies, Andreas Wild, et al. · Proceedings of the IEEE · 693
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An optical neural chip for implementing complex-valued neural network
2021 · H. Zhang, M. Gu, et al. · Nature Communications · 673
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A review of emerging non-volatile memory (NVM) technologies and applications
2016 · An Chen · Solid-State Electronics · 669
Spin-torque building blocks
2013 · N. Locatelli, V. Cros, et al. · Nature Materials · 649
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A crossbar array of magnetoresistive memory devices for in-memory computing
2022 · Seungchul Jung, Hyungwoo Lee, et al. · Nature · 640
Integration of nanoscale memristor synapses in neuromorphic computing architectures
2013 · Giacomo Indiveri, Bernabé Linares-Barranco, et al. · Nanotechnology · 614
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Ferroelectric Analog Synaptic Transistors
2019 · Min-Kyu Kim, Jang-Sik Lee · Nano Letters · 594
Approximate Computing: A Survey
2015 · Qiang Xu, Todd Mytkowicz, et al. · IEEE Design and Test · 565
Works count: 7,792
Citation count: 121,000
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