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检索条件"任意字段=Proceedings of the ACM on Measurement and Analysis of Computing Systems"

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MoveFeel: Expressive Dance Movement Determination through Video analysis

MoveFeel: Expressive Dance Movement Determination through Vi...

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2021 acm Workshop on Body Centric computing systems, BodySys 2021

作者： Kimm, Hanke Sullivan, Amy Yopp Jain, Shubham Stony Brook University Stony BrookNY United States

ISBN: (纸本)9781450386005

We propose MoveFeel, a movement computing framework that leverages vision-based analysis to compute meaningful metrics for assessing expressive dance movement. Our system is a multi-component workflow which extracts and collects dance movement images, processes and quantifies human pose skeletons, and computes attributes pertaining to dance movement that adhere to the movement methodologies based on "The Dynamics of Movement"by Rudolph Laban. We conduct a feasibility study to classify the expressive intentions of dance phrases encapsulated within a dance routine. We detail the interacting components of our system and discuss the interpretation and conversion of subjective dance principles into quantified metrics. MoveFeel demonstrates promise in generating metrics that can effectively distinguish dance phrases that are associated with positively or negatively expressed emotion. Our goal is to build upon these techniques and apply them to the movement arts (dance, theatre), medicine (therapy), and education. © 2021 acm.

关键词： Arts computing

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A Sufficient Ground-based measurement System Configuration to achieve Space Safety Requirements 74

A Sufficient Ground-based Measurement System Configuration t...

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74th International Astronautical Congress, IAC 2023

作者： Singh, Gurpreet Harsha, M. Biswas, Sanat K. Kumar, Vinod IIIT-Delhi New Delhi110020 India India

With the continuous increase of resident space objects (RSO) in near-earth space, it has become challenging to safeguard our space assets with the available ground resources. Computation of collision probability is an essential part of the safety assessment of active satellites, which requires estimating the position and velocity probability density function (PDF) of the active satellite itself and other potential candidate RSOs that can cause a collision. Tracking, i.e., RSO's position and velocity estimation, is generally performed from ground-based observations, for example, range, range rate, azimuth, and elevation measurements. The 3-σ position estimation accuracy of less than 200m is recommended for an operational collision probability threshold of 0.0001. It is well known that 200m of 3-σ accuracy in the tracking of RSO is only available sometimes due to multiple resource constraints, such as the limited number of sensors and physical constraints of the measurement system itself. In this article, we have analyzed the ground-based measurement accuracy and the number of ground station requirements to achieve 200m of 3-σ accuracy. This analysis is performed considering the RSO position and velocity estimation problem in a maximum a posteriori estimation framework and calculating the required measurement standard deviation and the number of observations to achieve the 200 m of 3-σ accuracy. It should be noted that the observations can be available in intervals, and the orbit uncertainty is propagated during this interval. We compute the maximum propagation time required to exceed 200m accuracy threshold for various orbits provides insight into the maximum allowable propagation time interval. It can be deduced that maintaining 200 m of the 3-σ threshold requires a trade-off between the number of ground stations, propagation time, and accuracy of measurement systems. This analysis will aid sensor tasking and ground station allocation for space situational awareness

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Comparative analysis of the detectors in the laser ceilometer 13

Comparative analysis of the detectors in the laser ceilomete...

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Advanced Sensor systems and Applications XIII 2023

作者： Baranov, N.A. Petrov, G.A. Romanova, G.E. Gao, S. Dorodnicyn Computing Centre FRC CSC RAS 40 Vavilov st. Moscow119333 Russia St.Petersburg Electrotechnical University "LETI" 5 Professora Popova st. St. Petersburg197022 Russia ITMO University 49 Kronverkskyi pr. St.Petersburg197101 Russia

ISBN: (纸本)9781510667914

The measurement range of ceilometer depends both on its optical system characteristics and on the properties of its electronic scheme, including the detector. The optical system of the ceilometer is required to have the lowest possible number of elements and small size. Thus, it appears to be promising to optimize the device characteristics by selecting the detector and the laser characteristics. Signals received in the scheme were compared for two types of photodetector: the first option was the conventional APD detector, and the second one was the HD-SiPM detector. The objective was to study the analog signals for these detectors in a ceilometer that registers the signal backscattered by aerosol. The shape and the features of the signal and the shape of the wavefront registered by these two photodetectors in the scheme are discussed. © 2023 SPIE.

关键词： Signal to noise ratio

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Pre-Processing measurement Data for computing Internal DC Resistance with Anomaly Detection Techniques 11

Pre-Processing Measurement Data for Computing Internal DC Re...

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11th IEEE International Conference on Power Electronics, Drives and Energy systems, PEDES 2024

作者： Pandey, Shaurya Mandal, Sarbani Sah, Bikash Mulpuri, Sai Krishna Kumar, Praveen Indian Institute of Technology Guwahati Department of Electronics and Electrical Engineering Guwahati India Bonn-Rhein-Sieg University of Applied Sciences Department of Engineering and Communication Sankt Augustin Germany Oak Ridge National Laboratory Oak Ridge TN United States

A significant concern in using electric vehicles (EVs) is the range variability, despite vehicles being from the same manufacturers and driven under similar conditions. This vari-ance often stems from cell-to-cell impedance variation within the battery pack. Since the impedance is a very small value ranging in milliohm (mO), the measurement requires precise signal generation and measurement, followed by data post-processing to ensure accurate outcomes. The focus of this paper is to propose the use of anomaly detection techniques in preprocessing the raw data to ensure reliable results are obtained when using the data. In this study, three anomaly detection methods were examined and their precision and limitations in preprocessing measured data were assessed. Based on the evaluation and conclusions drawn, the best method among these three was chosen for anomaly detection during preprocessing. analysis of Variance (ANOVA) is employed on the healthy data of the internal DC resistances to explore patterns in the variation with respect to manufacturers. © 2024 IEEE.

关键词： anomaly detection Internal impedance preprocessing

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Assessing the GPU Offload Threshold of GEMM and GEMV Kernels on Modern Heterogeneous HPC systems 24

Assessing the GPU Offload Threshold of GEMM and GEMV Kernels...

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proceedings of the SC '24 Workshops of the International Conference on High Performance computing, Network, Storage, and analysis

作者： Finn Wilkinson Alex Cockrean Wei-Chen Lin Simon McIntosh-Smith Tom Deakin High-Performance Computing Group University of Bristol Bristol United Kingdom

ISBN: (纸本)9798350355543

With an ever-growing compute advantage over CPUs, GPUs are often used in workloads with ample BLAS computation to improve performance. However, several factors including data-to-compute ratio, amount of data re-use, and data structure shape can all impact performance. Hence, using a GPU is not a guarantee of better BLAS performance. In this work, we introduce the GPU BLAS Offload Benchmark (GPU-BLOB), a novel and portable benchmark that measures CPU and GPU compute performance of different BLAS kernels and problem configurations. From the GPU offload threshold (a BLAS kernel's minimum dimensions for a certain configuration where using a GPU is guaranteed to yield improved performance), we evaluate the per-node performance of three, in-production, HPC systems. We show that the offload threshold for GEMM is highly dependant on problem shape and number of consecutive BLAS calls, and that, contrary to conventional wisdom, GEMV can benefit from GPU acceleration, especially on SoC-based systems.

关键词： AMD MI250X

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Implementing Asynchronous Jacobi Iteration on GPUs 13

Implementing Asynchronous Jacobi Iteration on GPUs

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13th IEEE/acm Workshop on Latest Advances in Scalable Algorithms for Large-Scale Heterogeneous systems, ScalAH 2022

作者： Tsai, Yu-Hsiang Mike Nayak, Pratik Chow, Edmond Anzt, Hartwig Karlsruhe Institute of Technology Steinbuch Centre for Computing Germany Georgia Institute of Technology School of Computational Science and Engineering United States University of Tennessee Innovative Computing Laboratory United States

ISBN: (纸本)9781665475709

Computation on architectures that feature fine-grained parallelism requires algorithms that overcome load imbalance, inefficient memory access, serialization, and excessive synchronization. In this paper, we explore an algorithm for iteratively solving systems of linear equations that allows for asynchronous updates by different execution units and completely removes the need for synchronization. Methods of this type have been identified as potentially competitive for computations on Exascale machines, but practical implementations for GPU platforms have scarcely been studied. We present an asynchronous Jacobi iteration optimized for high-end GPUs, demonstrate the superiority of the algorithm over a highly tuned synchronous Jacobi iteration, and deploy the algorithm as production-ready implementation in the Ginkgo open source library. The ideas presented here on the algorithm design, implementation and performance can help guide the design of other asynchronous iterative methods on GPUs. © 2022 IEEE.

关键词： Iterative methods

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CloudRCA: A Root Cause analysis Framework for Cloud computing Platforms 21

CloudRCA: A Root Cause Analysis Framework for Cloud Computin...

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30th acm International Conference on Information and Knowledge Management (CIKM)

作者： Zhang, Yingying Guan, Zhengxiong Qian, Huajie Xu, Leili Liu, Hengbo Wen, Qingsong Sun, Liang Jiang, Junwei Fan, Lunting Ke, Min Alibaba Grp Hangzhou Peoples R China

ISBN: (纸本)9781450384469

As business of Alibaba expands across the world among various industries, higher standards are imposed on the service quality and reliability of big data cloud computing platforms which constitute the infrastructure of Alibaba Cloud. However, root cause analysis in these platforms is non-trivial due to the complicated system architecture. In this paper, we propose a root cause analysis framework called CloudRCA which makes use of heterogeneous multi-source data including Key Performance Indicators (KPIs), logs, as well as topology, and extracts important features via state-of-the-art anomaly detection and log analysis techniques. The engineered features are then utilized in a Knowledge-informed Hierarchical Bayesian Network (KHBN) model to infer root causes with high accuracy and efficiency. Ablation study and comprehensive experimental comparisons demonstrate that, compared to existing frameworks, CloudRCA 1) consistently outperforms existing approaches in f1-score across different cloud systems;2) can handle novel types of root causes thanks to the hierarchical structure of KHBN;3) performs more robustly with respect to algorithmic configurations;and 4) scales more favorably in the data and feature sizes. Experiments also show that a cross-platform transfer learning mechanism can be adopted to further improve the accuracy by more than 10%. CloudRCA has been integrated into the diagnosis system of Alibaba Cloud and employed in three typical cloud computing platforms including MaxCompute, Realtime Compute and Hologres. It saves Site Reliability Engineers (SREs) more than 20% in the time spent on resolving failures in the past twelve months and improves service reliability significantly.

关键词： Root Cause analysis AIOps Cloud computing Platform Alibaba Cloud

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Power systems Frequency Response using Frequency Dependent Network Equivalent based on a Rational Function in the z-domain 25

Power Systems Frequency Response using Frequency Dependent N...

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25th Autumn Meeting on Power, Electronics and computing, ROPEC 2023

作者： Verduzco-Duran, Juan Ramos-Paz, Antonio Medina-Rios, Aurelio Cisneros-Magana, Rafael Universidad Michoacana de San Nicolás de Hidalgo División de Estudios de Posgrado de la Facultad de Ingeniería Eléctrica Ciudad Universitaria Michoacán Morelia58030 Mexico

ISBN: (纸本)9798350336887

This article deals with the problem of harmonic resonance in power systems, which causes harmonic amplification and can worsen existing harmonic problems in the system. Therefore, performing a frequency response analysis is essential to identify series and parallel resonances in the system within a frequency range of interest. To address this issue, it is proposed to use a Frequency-Dependent Network Equivalent (FDNE) based on a rational function in the z-domain. This approach is based on acquiring measurement data and implementing parameter identification techniques using the recursive least squares method to evaluate the frequency response. To validate the proposed method, its implementation is carried out in different case studies. © 2023 IEEE.

关键词： Frequency response

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Energy-Efficient Resource Management for Real-Time Applications in FaaS Edge computing Platforms 23

Energy-Efficient Resource Management for Real-Time Applicati...

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proceedings of the IEEE/acm 16th International Conference on Utility and Cloud computing

作者： Shahrokh Vahabi Francesca Righetti Carlo Vallati Nicola Tonellotto Department of Information Engineering University of Pisa Pisa Pisa IT Department of Information Engineering University of Pisa Pisa Pisa Italy

ISBN: (纸本)9798400702341

Edge computing and Function-as-a-Service are two emerging paradigms that enable a timed analysis of data directly in the proximity of cyber-physical systems and users. Function-as-a-service platforms deployed at the edge require mechanisms for resource management and allocation to schedule function execution and to scale the available resources in order to ensure the proper quality of service to applications. Large-scale deployments will also require mechanisms to control the energy consumption of the overall system, to ensure long-term sustainability. In this paper, we propose a technique to schedule function invocations on Edge resources by powering down idle edge nodes during period of low demands. In doing so, our technique aims at reducing the overall energy consumption without incurring in service level agreements violations. Experimental evaluations demonstrate that the proposed approach reduces service level agreement violations by at least 78.1% and energy consumption by at least 62.5% on average using synthetic and real-world datasets w.r.t. different baselines.

关键词： edge computing

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TCPS: A Task and Cache-Aware Partitioned Scheduler for Hard Real-Time Multi-core systems 2022

TCPS: A Task and Cache-Aware Partitioned Scheduler for Hard ...

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23rd International Conference on Languages, Compilers, and Tools for Embedded System (LCTES)

作者： Shen, Yixian Xiao, Jun Pimentel, Andy D. Univ Amsterdam Amsterdam Netherlands

ISBN: (纸本)9781450392662

Shared caches in multi-core processors seriously complicate the timing verification of real-time software tasks due to the task interference occurring in the shared caches. Explicitly calculating the amount of cache interference among tasks and cache partitioning are two major approaches to enhance the schedulability performance in the context of multi-core processors with shared caches. The former approach suffers from pessimistic cache interference estimations that subsequently result in suboptimal schedulability performance, whereas the latter approach may increase the execution time of tasks due to a lower cache usage, also degrading the schedulability performance. In this paper, we propose a heuristic partitioned scheduler, called TCPS, for real-time non-preemptive multi-core systems with partitioned caches. To achieve a high degree of schedulability, TCPS combines the benefits of partitioned scheduling, relieving the computing resources from contention, and cache partitioning, mitigating cache interference, in conjunction with exploiting task characteristics. A series of comprehensive experiments were performed to evaluate the schedulability performance of TCPS and compare it against a variety of global and partitioned scheduling approaches. Our results show that TCPS outperforms all of these scheduling techniques in terms of schedulability, and yields a more effective cache usage and more stable load balancing.

关键词： Cache partitioning Partitioned scheduling Schedulability analysis Real-time systems

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