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International Conference on High Performance Computing

作者： Aditya Devarakonda James Demmel Institute for Data Intensive Engineering and Science Johns Hopkins University Baltimore Maryland University of California Berkeley Berkeley California

ISBN: (纸本)9781665422925;9781665446501

Stochastic gradient descent (SGD) is one of the most widely used optimization methods for solving various machine learning problems. SGD solves an optimization problem by iteratively sampling a few data points from the input data, computing gradients for the selected data points, and updating the solution. However, in a parallel setting, SGD requires interprocess communication at every iteration. We introduce a new communication-avoiding technique for solving the logistic regression problem using SGD. This technique re-organizes the SGD computations into a form that communicates every s iterations instead of every iteration, where s is a tuning parameter. We prove theoretical flops, bandwidth, and latency upper bounds for SGD and its new communication-avoiding variant. Furthermore, we show experimental results that illustrate that the new Communication-Avoiding SGD (CA-SGD) method can achieve speedups of up to 4.97× on a high-performance Infiniband cluster without altering the convergence behavior or accuracy.

关键词： Upper bound High performance computing Conferences Optimization methods Machine learning Bandwidth Tuning

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Realizing Body-Machine Interface for Quadrotor Control Through Kalman Filters and Recurrent Neural Network

Realizing Body-Machine Interface for Quadrotor Control Throu...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Alexander Menshchikov Daniil Lopatkin Evgeny Tsykunov Dzmitry Tsetserukou Andrey Somov Center for Computational and Data-Intensive Science and Engineering (CDISE) Skolkovo Institute of Science and Technology Moscow Russia Space Center Skolkovo Institute of Science and Technology Moscow Russia

ISBN: (数字)9781728189567

ISBN: (纸本)9781728189574

Unmanned Aerial Vehicles (UAV) have been recently applied in several various civilian applications. Based on this, there is a growing need for intuitive UAV control interfaces. In this work, we report on the Body-Machine Interface (BMI), helping a human operator to control a quadrotor through the gesture commands. We perform the human motion capture through wearable sensors and Kalman filter to reduce the noise. For the gesture command recognition, we designed the Recurrent Neural Network recognizing gestures within 65 ms. For the quadrotor orientation estimation, we designed the Extended Kalman Filter (EKF). We assess the proposed BMI via the simulations and experiments: the standard deviation of the trajectories varies for up to 10 cm.

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Relativistic modified Bessel-Gaussian beam generated from plasma-based beam braiding

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Physical Review A 2021年第2期104卷 L021501-L021501页

作者： Bifeng Lei Daniel Seipt Mingyuan Shi Bin Liu Jingwei Wang Matt Zepf Sergey G. Rykovanov Helmholtz Institute Jena Fröbelstieg 3 07743 Jena Germany GSI Helmholtzzentrum für Schwerionenforschung GmbH Planckstrasse 1 64291 Darmstadt Germany Faculty of Physics and Astronomy Friedrich-Schiller-Universität Jena 07743 Jena Germany Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences 201800 Shanghai China Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow 121205 Russia

We theoretically and numerically demonstrate the generation of a relativistic modified Bessel-Gaussian beam (MBGB) via plasma-based beam braiding. It is realized by injecting several intense Gaussian pulses with well-designed offsets and angles into an underdense plasma channel which acts as a laser-pulse combiner via refractive coupling. The MBGB propagates stably in the plasma channel with a well-controlled orbital angular momentum of large value, exciting a twisted plasma wave. After leaving the plasma, it becomes unguided and survives in vacuum for at least hundreds of femtoseconds. This method is insensitive to the initial laser injection conditions and thus should be robust for experimental implementation. It provides an alternative approach in generating high-quality tunable intense optical vortex beams which are desired for various applications.

关键词： Laser driven electron acceleration Laser wakefield acceleration Laser-plasma interactions Plasma acceleration & new acceleration techniques

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Average Age of Information of Irregular Repetition Slotted ALOHA

Average Age of Information of Irregular Repetition Slotted A...

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GLOBECOM 2020 - 2020 IEEE Global Communications Conference

作者： Andrea Munari Alexey Frolov Institute of Communications and Navigation of the German Aerospace Center (DLR) Wessling Germany Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow Russia

ISBN: (数字)9781728182988

ISBN: (纸本)9781728182995

Flanking traditional metrics such as throughput and reliability, age of information (AoI) is emerging as a fundamental tool to capture the performance of IoT systems. In this context, we focus on a setup in which a large number of nodes attempt delivery of time-stamped updates to a common destination over a shared channel, and investigate the ability of different grant-free access strategies to maintain fresh information at the receiver. Specifically, we derive for the first time an exact closed-form expression of the average AoI achieved by irregular repetition slotted ALOHA (IRSA), and compare its performance to that of a slotted ALOHA approach. Our analysis reveals the potential of modern random access schemes, and pinpoints some fundamental trade-offs, providing useful hints for proper system design.

关键词： Peer-to-peer computing Protocols Receivers Throughput Information age Tools Internet of Things

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Stochastic gradient algorithms from ode splitting perspective

arXiv

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arXiv 2020年

作者： Merkulov, Daniil Oseledets, Ivan Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Bolshoy Boulevard 30 bld. 1 Moscow121205 Russia

We present a different view on stochastic optimization, which goes back to the splitting schemes for approximate solutions of ODE. In this work, we provide a connection between stochastic gradient descent approach and first-order splitting scheme for ODE. We consider the special case of splitting, which is inspired by machine learning applications and derive a new upper bound on the global splitting error for it. We present, that the Kaczmarz method is the limit case of the splitting scheme for the unit batch SGD for linear least squares problem. We support our findings with systematic empirical studies, which demonstrates, that a more accurate solution of local problems leads to the stepsize robustness and provides better convergence in time and iterations on the softmax regression problem. Copyright © 2020, The Authors. All rights reserved.

关键词： Least squares approximations

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New bounds and generalizations of locally recoverable codes with availability

New bounds and generalizations of locally recoverable codes ...

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作者： Kruglik, Stanislav Nazirkhanova, Kamilla Frolov, Alexey Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Moscow121205 Russia Department of Radio Engineering and Cybernetics Moscow Institute of Physics and Technology Moscow141701 Russia

We investigate the distance properties of linear locally recoverable codes (LRC codes) with all-symbol locality and availability. New upper and lower bounds on the minimum distance of such codes are derived. The upper bound is based on the shortening method and generalized Hamming weights that are fundamental parameters of any linear codes with many useful applications. This bound improves existing upper bounds. To reduce the gap in between upper and lower bounds, we do not restrict the alphabet size and propose explicit constructions of codes with locality and availability via rank-metric codes. The first construction relies on expander graphs and is better in low rate region. The second construction utilizes the LRC codes developed by Wang et al. as inner codes and is better in high rate region. We also suggest one possible generalization of LRC codes in which the recovering sets can intersect in a small number of coordinates. This feature allows us to increase the achievable code rate and still meet load balancing requirements. We derive upper and lower bounds on the parameters of such codes and present explicit constructions of codes with such a property. © 1963-2012 IEEE.

关键词： Fault tolerance

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Coding with noiseless feedback over the Z-channel

arXiv

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arXiv 2020年

作者： Deppe, Christian Lebedev, Vladimir Maringer, Georg Polyanskii, Nikita The Institute for Communications Engineering Technical University of Munich Germany The Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology Russia The Institute for Information Transmission Problems Russian Academy of Sciences Russia

In this paper, we consider encoding strategies for the Z-channel with noiseless feedback. We analyze the combinatorial setting where the maximum number of errors inflicted by an adversary is proportional to the number of transmissions, which goes to infinity. Without feedback, it is known that the rate of optimal asymmetric-error-correcting codes for the error fraction τ ≥ 1/4 vanishes as the blocklength grows. In this paper, we give an efficient feedback encoding scheme with n transmissions that achieves a positive rate for any fraction of errors τ Copyright © 2020, The Authors. All rights reserved.

关键词： Signal encoding

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A Reliable Method to Estimate the Bispectral Index Value Using a Single Frontal EEG Channel for Intra and Inter Subject Variability

A Reliable Method to Estimate the Bispectral Index Value Usi...

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IEEE International Workshop on Medical Measurement and Applications (MEMEA)

作者： Mohammad Shahbakhti Matin Beiramvand Roza Krycinska Erfan Nasiri Wei Chen Jordi Solé-Casals Michal Wierzchon Anna Broniec-Wójcik Piotr Augustyniak Vaidotas Marozas Biomedical Engineering Institute Kaunas University of Technology Kaunas Lithuania Faculty of Information Technology and Communication Tampere University Tempere Finland Doctoral School in Medical and Health Sciences Jagiellonian University Medical College Krakow Poland Department of Interdisciplinary Intensive Care Jagiellonian University Collegium Medicum Krakow Poland Faculty of Statistics Mathematics and Computer Allameh Tabataba’i University Tehran Iran Center for Intelligent Medical Electronics School of Information Science and Technology Fudan University Shanghai China Data and Signal Processing Research Group University of Vic-Central University of Catalonia Vic Spain Institute of Psychology Jagiellonian University Krakow Poland Department of Biocybernetics and Biomedical Engineering AGH University of Science and Technology Krakow Poland

Objective: Monitoring the depth of anesthesia (DoA) plays an important role for administering the drug injection during a surgery, i.e., preventing undesired awareness and inordinate anesthetic depth. Although the bispectral index (BIS) monitor is the golden standard system for the DoA monitoring, it is still not affordable for the developing countries. Alternatively, a low-cost electroencephalogram (EEG) headband can be used. The objective of this paper is to present a new algorithm for estimating the BIS values using a single frontal EEG channel. Method: In the first step, the EEG signal is filtered for the elimination of artifacts and is split into its sub-bands. In the second step, several linear and nonlinear features are extracted from each sub-band and fed to a random forest regression model in order to estimate the BIS. The performance of the proposed algorithm is assessed using EEG data recorded from twenty-four subjects during the general anesthesia and is validated in terms of correlation coefficient (CC) and absolute error (AE) between the reference and estimated BIS values. Results: The proposed algorithm achieved the mean CC of 0.83 and AE of 6.5 for intra subject variability and mean CC of 0.87 and AE of 5.5 for inter subject variability. Significance: Given the similar results for both intra and inter subject variability, the proposed algorithm has the potential to be used in the real-world scenario.

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Non-invasive brain stimulation-based sleep stage classification using transcranial infrared based electrocardiogram

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Neuroscience Informatics 2025年第2期5卷 100197-100197页

作者： Ramesh, Janjhyam Venkata Naga Quraishi, Aadam Aoudni, Yassine Mudhafar, Mustafa Nimma, Divya Bansal, Monika Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Guntur Andhra Pradesh 522302 India M.D. Research Intervention Treatment Institute Houston TX United States Computer & Embedded Systems Laboratory National School of Engineers of Sfax (ENIS) University of Sfax BP 1173 Sfax 3038 Tunisia Department of Medical Physics Faculty of Medical Applied Sciences University of Kerbala Karbala 56001 Iraq Department of Anesthesia Techniques and Intensive Care Al-Taff university college Kerbala 56001 Iraq Data Analyst in UMMC United States Department of Computer Science SSD Women's Institute of Technology Bathinda India

Non-invasive brain stimulation (NIBS) techniques, such as transcranial infrared (tNIR) stimulation, offer promising advancements in sleep monitoring and regulation. To enhance sleep stage classification without relying on traditional polysomnography (PSG) systems, we propose a novel approach integrating single-channel electrocardiogram (ECG) signals, heart rate variability (HRV) features, and tNIR stimulation. The maximal overlap discrete wavelet transform (MODWT) is applied for multi-resolution analysis of ECG signals, followed by peak information extraction. Based on the first-order deviation of peak positions, multi-dimensional HRV features are extracted. To identify HRV features strongly associated with different sleep stages, we introduce a feature selection method combining the ReliefF algorithm and Gini index. The selected features are then processed using the INFO-ABC Logit Boost method to establish correlations between HRV dynamics and sleep stages. Experimental results on publicly available datasets demonstrate that the proposed model achieves an overall accuracy of 83.67%, a precision of 82.59%, a Kappa coefficient of 77.94%, and an F1-score of 82.97%. Compared with conventional sleep staging methods, our approach enhances sleep quality assessment and facilitates real-time, non-invasive monitoring in home and mobile healthcare settings, leveraging the potential of tNIR-based NIBS for sleep modulation. © 2025 The Author(s)

关键词： ECG Healthcare HRV Non-invasive brain stimulation tNIR

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Adaptive algorithm for quantum circuit simulation

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Physical Review A 2020年第4期101卷 042335-042335页

作者： Roman Schutski Danil Lykov Ivan Oseledets Center for Computational and Data-Intensive Science and Engineering Skoltech Skolkovo Innovation Center Moscow Region 121205 Russian Federation Moscow Institute of Physics and Technology Dolgoprudny Moscow Region 141701 Russian Federation

Efficient simulation of quantum computers is essential for the development and validation of near-term quantum devices and the research on quantum algorithms. Up to date, two main approaches to simulation have been use, based on either full-state or single-amplitude evaluation. We propose an algorithm that efficiently interpolates between these two possibilities. Our approach elucidates the connection between quantum circuit simulation and partial evaluation of expressions in tensor algebra.

关键词： Quantum benchmarking Quantum gates Quantum simulation

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