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Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
[article]
2021
arXiv
pre-print
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For efficiently processing these computational- and memory-intensive applications, tensors of these over-parameterized models are compressed by leveraging sparsity, size reduction, and quantization of ...
structured sparsity can improve storage efficiency and balance computations; understanding how to compile and map models with sparse tensors on the accelerators; understanding recent design trends for ...
Then, they are collected later and accumulated spatially via interconnect before further processing (e.g., write-back, encoding). ...
arXiv:2007.00864v2
fatcat:k4o2xboh4vbudadfiriiwjp7uu
2020 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 50
2020
IEEE Transactions on Systems, Man & Cybernetics. Systems
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Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
., +, TSMC Dec. 2020 4984-4999 Joint Energy, Maintenance, and Throughput Modeling for Sustainable Manufacturing Systems. ...
doi:10.1109/tsmc.2021.3054492
fatcat:zartzom6xvdpbbnkcw7xnsbeqy
Uncertainty-Aware Methods for Leveraging Water Pumping Flexibility for Power Networks
[article]
2022
arXiv
pre-print
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Building upon robust and chance-constrained reformulation approaches, we analytically reformulate the probabilistic problem into a deterministic one and solve for the scheduled pump operation and the control ...
policy parameters that adjust the pumps based on the power demand forecast error realizations. ...
Second, the problem complexity and dimension increase as we consider (nonconvex) network models from multiple systems and the propagation of uncertainty across interconnected systems. ...
arXiv:2207.04943v1
fatcat:dl477gl45zh4lhq3j3lnh35rma
Highly-scalable, physics-informed GANs for learning solutions of stochastic PDEs
[article]
2019
arXiv
pre-print
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The geographic extent, spatial heterogeneity, and multiple correlation length scales of the Hanford Site require training a computationally intensive GAN model to thousands of dimensions. ...
We address this challenge for the problem of modeling subsurface flow at the Hanford Site by combining stochastic computational models with observational data using physics-informed GAN models. ...
The behavior of the different model exchange schedules is a little more varied. ...
arXiv:1910.13444v1
fatcat:lbse6emsm5dizpi4jdp7eokwvq
A Separation Theorem for Joint Sensor and Actuator Scheduling with Guaranteed Performance Bounds
[article]
2020
arXiv
pre-print
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polynomial-time algorithms for a time-varying sensor/actuator schedule with guaranteed approximation bounds. ...
We study the problem of jointly designing a sparse sensor and actuator schedule for linear dynamical systems while guaranteeing a control/estimation performance that approximates the fully sensed/actuated ...
In standard model reduction, first we obtain the balanced realization, and then the least observable and controllable modes are truncated. ...
arXiv:2005.03143v1
fatcat:vj2zqpwrivbxloclvo7eiyed7y
2021 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 51
2021
IEEE Transactions on Systems, Man & Cybernetics. Systems
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Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
., +, TSMC Nov. 2021 6938-6944 Consensus of Multiagent Systems With Time-Varying Input Delay via Truncated Predictor Feedback. ...
doi:10.1109/tsmc.2021.3136054
fatcat:b5hcsfwjw5hllpenqmaq6wpke4
Multi-scale Transactive Control In Interconnected Bulk Power Systems Under High Renewable Energy Supply and High Demand Response Scenarios
[article]
2017
arXiv
pre-print
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The work encompasses: (1) the derivation of a short-term demand response model suitable for transactive control systems and its validation with field demonstration data; (2) an aggregate load model that ...
interconnection) scale strategy for optimal power trajectory and resource dispatch based on a shift from primarily energy cost-based approach to a primarily ramping cost-based one. ...
C 1: Aggregate Load Model Parameters Parameter
Variable
Distribution
µ
σ Remarks
Wall conductivity
U A
Normal
350
50 Truncated at ±3σ
Air heat capacity
C A
Normal
2000
150 Truncated at ±3σ ...
arXiv:1711.09704v2
fatcat:ym6gcl7fwffp5pcrwm2lxlshyy
Small Cell Deployments: Recent Advances and Research Challenges
[article]
2012
arXiv
pre-print
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This paper provides some cutting edge information on the developments of Self-Organizing Networks (SON) for small cell deployments, as well as related standardization supports on issues such as carrier ...
about the latest advances and research challenges in small cell roll-outs and heterogeneous cellular networks. ...
We also thank the EU FP7 IAPP@RANPLAN project for the financial support of the workshop. ...
arXiv:1211.0575v1
fatcat:rdclcpvupzdd7ikzrqswbhwnnm
2019 Index IEEE Systems Journal Vol. 13
2019
IEEE Systems Journal
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., +, JSYST Sept. 2019 2275-2284 Interconnected systems Decentralized Stabilization for Switched Large-Scale Nonlinear Systems via Sampled-Data Output Feedback. ...
., +, JSYST June 2019 1181-1189 On the Joint Impact of Hardware and Channel Imperfections on Cognitive Spatial Modulation MIMO Systems: Cramer-Rao Bound Approach. ...
doi:10.1109/jsyst.2020.2965224
fatcat:x7hx4luelzforfuzigmwmfyhgm
2019 Index IEEE Transactions on Automatic Control Vol. 64
2019
IEEE Transactions on Automatic Control
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., +, TAC Nov. 2019 4484-4495
Balanced Model Reduction for Linear Time-Varying Symmetric Systems. ...
., +, TAC Oct. 2019 4229-4236
Hankel matrices
Balanced Model Reduction for Linear Time-Varying Symmetric Systems. ...
doi:10.1109/tac.2020.2967132
fatcat:o2hd2t4jz5fbpkcemjt5aj7xrm
Certifying Unstability of Switched Systems Using Sum of Squares Programming
2020
SIAM Journal of Control and Optimization
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We, however, explore the stability properties of the slow-fast mechanical system via the passivity properties of Σ 1 and Σ 2 together with the interconnection which leads to (3). ...
In a similar manner as for the linear case, we can compute a balanced realization from these two empirical Gramians. ...
Model order reduction (MOR) for linear parameter-varying (LPV) systems provides the opportunity to speed up the analysis and simulation process. ...
doi:10.1137/18m1173460
fatcat:ytlzbwk7vbampbuyo6snenz33m
Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications
2021
Energies
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This paper reviews methods of uncertainty management, parameter modeling, simulation tools, and test systems. ...
optimization, the hierarchical scheduling strategy, and information gap decision theory. ...
considers net load uncertainties for several interconnected power systems. An initial tie -line schedule and generation schedule for each area is derived. ...
doi:10.3390/en14206658
fatcat:7y6v7oofbzho7clkn5uyybzdq4
2019 Index IEEE Transactions on Communications Vol. 67
2019
IEEE Transactions on Communications
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., +, TCOMM Dec. 2019 8247-8257
Joint Spatial Division and Diversity for Massive MIMO Systems. ...
., +, TCOMM Sept. 2019 6206-6220 Joint Spatial Division and Diversity for Massive MIMO Systems. ...
doi:10.1109/tcomm.2019.2963622
fatcat:qd6so3reavde3eiukfknmpbfsu
Design of large polyphase filters in the Quadratic Residue Number System
2010
2010 Conference Record of the Forty Fourth Asilomar Conference on Signals, Systems and Computers
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While the filter is suited for extraction, it can also be used for joint direction-of-arrival and fundamental frequency estimation, and model order selection. ...
This contribution presents a noise reduction system that is capable of tracking and suppressing both time varying harmonic noise and stationary noise. ...
doi:10.1109/acssc.2010.5757589
fatcat:ccxnu5owr5fyrcjcqukumerueq
Stochastic Information Management in Smart Grid
2014
IEEE Communications Surveys and Tutorials
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Built upon the component-level models, we further explore the system-level stochastic information management schemes for smart grid planning and operation. ...
technical challenges on power system planning and operation. ...
ACKNOWLEDGMENT The authors would like to thank Professor Kankar Bhattacharya from the Electricity Market Simulation and Optimization Lab at the University of Waterloo and Wei Wang for valuable discussions ...
doi:10.1109/surv.2014.020614.00115
fatcat:rimew3bn5fdwrjtmbvffq2veuq
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