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2021 5th international conference on Computer, Communication, and Signal processing, ICCCSP 2021

2021 5th International Conference on Computer, Communication...

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5th international conference on Computer, Communication, and Signal processing, ICCCSP 2021

ISBN: (纸本)9781665432771

the proceedings contain 53 papers. the topics discussed include: anomaly detection and improvement of clusters using enhanced k-means algorithm;parallel exploitation of 2D LiDAR simultaneous localization and mapping;computer aided mass detection in mammograms;stock data analysis with UIpath automation;an improved content based image retrieval system using unsupervised deep neural network and locality sensitive hashing;mood recognition in online sessions using machine learning in real-time;symptoms based early clinical diagnosis of COVID-19 cases using hybrid and ensemble machine learning techniques;IoT and machine learning based smart grid system;and dual-cavity backed substrate integrated waveguide slot antenna for 5G applications.

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Distributed Training Optimization for DCU

Distributed Training Optimization for DCU

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Information Science, parallel and Distributed Systems (ISPDS), international conference on

作者： Biaoyuan Chen Jianan Li Pengfei Li Jingming Xie Rongcai Zhao Wei Gao Lin Han Zhengzhou University Zhengzhou China National Supercomputing Center Zhengzhou National Supercomputing Center Zhengzhou Zhengzhou China

ISBN: (数字)9798350352719

ISBN: (纸本)9798350352726

With the continuous advancement of large-scale models and expanding volumes of data, a single acceleration hardware is no longer sufficient to meet the training demands. Simply stacking multiple acceleration hardware together in parallel does not enhance training efficiency, but rather results in a waste of computing resources. therefore, for existing distributed training parallel methods, we first establish the definition of parallel strategies and construct cost boundaries to enable the automatic selection of efficient parallel strategies. Additionally, we implement a time-balanced partition algorithm based on pipeline parallelism to achieve more equitable model partitioning at each stage and reduce the overall cost of model training time. Experiments conducted on a single machine with four DCU cards and a dual machine with eight DCU cards demonstrate that multiple models, supported by the automatic parallel strategy, exhibit outstanding distributed training performance. Simultaneously, the average acceleration ratio can reach 1.13× with pipeline optimization. In summary, automatic selection of strategies and pipeline parallelism optimization significantly enhances the efficiency of distributed training for large models.

关键词： Training Costs Computational modeling Pipelines Stacking parallel processing Hardware

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Efficient Route Selection for Drone-based Delivery Under Time-varying Dynamics 18

Efficient Route Selection for Drone-based Delivery Under Tim...

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18th IEEE international conference on Mobile Ad hoc and Smart Systems (IEEE MASS)

作者： Khanda, Arindam Coro, Federico Sorbelli, Francesco Betti Pinotti, Cristina M. Das, Sajal K. Missouri Univ Sci & Technol Dept Comp Sci Rolla MO 65409 USA Univ Perugia Dept Comp Sci & Math Perugia Italy

ISBN: (纸本)9781665449359

the use of drones can be a valuable solution for the problem of delivering goods for many reasons. In fact, they can be efficiently employed in time-critical situations when there is a traffic jam on the roads, to serve customers in hard-toreach places, or simply to expand the business. However, due to limited battery capacities and the fact that drones can serve a single customer at a time, a drone-based delivery system (DBDS) aims to minimize the drones' energy usage for completing a route from the depot to the customer and go back to the depot for new deliveries. In general, the shortest delivery route could not be the optimal choice since external factors like the wind (which varies with time) can affect energy consumption. Previous work has mainly considered simplified DBDSs assuming architectures with a single drone and with static costs on paths. Moreover, in these non-centralized architectures, the drones themselves compute the routes on the fly employing their onboard processing resources, making this choice costly. In this paper we develop a centralized system for computing energy-efficient time-varying routes for drones in a multi-depot multi-drone delivery system. Specifically, we propose a novel centralized parallel algorithm called parallel Shortest Route Update (PSRU) that, over time, updates the drones' delivery routes avoiding the whole recomputation from scratch. A comprehensive evaluation proves that PSRU is up to 4.5x faster than the state-of-the-art algorithms.

关键词： Drone Dynamic graph parallel algorithm GPU

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A Study of GPU Programming Paradigms: OpenACC vs. CUDA in Linear Algebra Computations

A Study of GPU Programming Paradigms: OpenACC vs. CUDA in Li...

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Advances in Electrical, Electronics and Computing Technology (EECT), international conference on

作者： Ezhilmathi Krishnasamy Pascal Bouvry Department of Computer Science FSTM University of Luxembourg Belval Luxembourg

ISBN: (数字)9798331541545

ISBN: (纸本)9798331541552

Scientific and engineering problems are frequently governed by partial differential equations; however, the analytical solutions of these equations are often impractical, thereby forcing the adoption of numerical methods. Basic Linear Algebra Sub-programs (BLAS) operations constitute a fundamental component of these numerical approaches, incorporating essential tasks such as Level 1 operations (dot products and vector addition), Level 2 operations (matrix-vector multiplication), and Level 3 operations (matrix-matrix multiplication). Graphics processing Units (GPUs), particularly those produced by NVIDIA, have gained significant computational power and are extensively employed to tackle a variety of numerical challenges. Nevertheless, substantial obstacles remain in targeting diverse GPU architectures, particularly concerning portability, the reduction of workarounds, and the enhancement of performance. this study utilizes directive-based programming languages, such as OpenACC, to effectively exploit GPU capabilities. We undertake a comprehensive comparative study and performance evaluation of the OpenACC programming model in comparison to CUDA in executing essential BLAS routines.

关键词： Performance evaluation Computers Computer languages Partial differential equations High performance computing Graphics processing units Vectors Mathematical models Performance analysis Numerical models

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Comparative Study of Directive-based Programming Models on CPUs and GPUs for Scientific Applications 6th

Comparative Study of Directive-based Programming Models on C...

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6th international conference on Emerging Research in Computing, Information, Communication and Applications, ERCICA 2020

作者： Navya, C. Sanjay, H.A. Salvi, Sanket Nitte Meenakshi Institute of Technology Bangalore India

ISBN: (纸本)9789811613418

Graphics processing unit-based parallel programming architecture has shown increased popularity as a building block for high performance computing. With the increased processing required in the last years, the search for devices with better performance, started in computing a need for parallel programming, makes it possible to support the performance of software and algorithms requiring high processing patterns. However, the major hurdle is their programming complexity for their widespread adoption. For better performance, many directive-based GPU programming models have been proposed. Directive-based programming model requires a different level of programming efforts to port and optimize applications. In this paper, two popular directive-based programming models have been evaluated using popular scientific benchmark applications. the benchmark applications are implemented using OpenACC for GPUs and OpenMP for CPUs. Results show that the directive-based programming model, OpenACC for GPUs, shows reasonably high performance, compared to directive-based programming model, OpenMP on CPUs. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Graphics processing unit

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Research on Information System Architecture Based on Microservice Architecture

Research on Information System Architecture Based on Microse...

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Information Science, parallel and Distributed Systems (ISPDS), international conference on

作者： Ruxue Bai Xueqian Song School of Management Chengdu University of Information Technology Chengdu China

ISBN: (数字)9798350352719

ISBN: (纸本)9798350352726

To construct an information system architecture system based on microservice architecture in in a highly distributed and multi-source heterogeneous environment, the goal is to enhance and improve the software ecosystem. this will meet the demands for high availability and concurrency of the information system, as well as effectively allocate and utilize resources according to market and business requirements. the article aims to define and explain the concept of an information system based on microservice architecture, elaborate on the construction methods (including direct construction and microservice-oriented transformation), compare, and analyze mainstream microservice frameworks, construct the information system architecture, function module, and operation mechanism based on microservice architecture. the architectural design of an information system based on microservice involves constructing modules that align with business requirements (capabilities), characteristics of the information system, and environmental considerations. Microservices are selected accordingly with expansion optimization aligned with business functions. the structure consists of display layer, interface layer, service layer data layer and infrastructure layer. Functional modules within this framework include shared microservices, customized/applied microservices and basic microservices.

关键词： Concurrent computing Information science Ecosystems Microservice architectures Computer architecture Software Optimization

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Attention-Based Genetic Algorithm for Adversarial Attack in Natural Language processing 17th

Attention-Based Genetic Algorithm for Adversarial Attack in ...

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17th international conference on parallel Problem Solving from Nature (PPSN)

作者： Zhou, Shasha Li, Ke Min, Geyong Univ Elect Sci & Technol China Coll Comp Sci & Engn Chengdu 611731 Peoples R China Univ Exeter Dept Comp Sci Exeter EX4 5DS Devon England

ISBN: (纸本)9783031147142;9783031147135

Many recent studies have shown that deep neural networks (DNNs) are vulnerable to adversarial examples. Adversarial attacks on DNNs for natural language processing tasks are notoriously more challenging than that in computer vision. this paper proposes an attention-based genetic algorithm (dubbed AGA) for generating adversarial examples under a black-box setting. In particular, the attention mechanism helps identify the relatively more important words in a given text. Based on this information, bespoke crossover and mutation operators are developed to navigate AGA to focus on exploiting relatively more important words thus leading to a save of computational resources. Experiments on three widely used datasets demonstrate that AGA achieves a higher success rate with less than 48% of the number of queries than the peer algorithms. In addition, the underlying DNN can become more robust by using the adversarial examples obtained by AGA for adversarial training.

关键词： Attention mechanism Adversarial attack Genetic algorithm Natural language processing

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Research on Service Splitting and Governance of E-commerce System Based on Microservice Architecture : Taking small and medium-sized BtoC e-commerce system as an example

Research on Service Splitting and Governance of E-commerce S...

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Information Science, parallel and Distributed Systems (ISPDS), international conference on

作者： Ruxue Bai Xueqian Song School of Management Chengdu University of Information Technology Chengdu China

ISBN: (数字)9798350352719

ISBN: (纸本)9798350352726

With the advancement and implementation of information technology, microservice architecture has gained popularity in current times. However, it remains challenging to decompose complex business logic into multiple services and effectively manage them. Using the e-commerce field as a case study, this paper innovatively applies horizontal and vertical partitioning methods combined with domain-driven design to divide services. this approach results in RestAPI microservices that implement business domain logic and WebUI microservices responsible for front-end display. the paper provides an overview of the fundamental microservices governing business microservices (RestAPI, WebUI). these basic microservices oversee multiple services distributed across different servers, clusters, or clouds by dynamically configuring inter-service invocation rules to ensure mutual cooperation and achieve comprehensive system functionality. the method of microservice decomposition is expanded upon to better meet the requirements of high performance, high availability, and high concurrency within e-commerce systems.

关键词： Concurrent computing Information science Microservice architectures Electronic commerce Logic Servers Information technology

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Review on Deep Learning Network architectures for Image Reconstruction

Review on Deep Learning Network Architectures for Image Reco...

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Image processing and Capsule Networks (ICIPCN), international conference on

作者： Babitha Lokula L.V Narasimha Prasad Ramakrishna Tirumuri department of ECE K L deemed to be university Institute of Aeronautical Engineering Vaddeshwaram India department of ECE Institute of Aeronautical Engineering Hyderabad India department of ECE K L deemed to be university Vaddeshwaram India

ISBN: (数字)9798350367171

ISBN: (纸本)9798350367188

In order to obtain the low resolution(LR) image’s detailed information, super resolution(SR) image reconstruction is essential. From 1D projections, we can reconstruct images in 2D and 3D. the LR images attained have different details of the same scene for which the super resolution reconstruction is possible. In the field of computer vision, image reconstruction is used in a variety of applications including robotics, entertainment, reverse engineering, augmented reality, human-computer interaction, and animation. In addition, applications in the medical field like Magnetic Resonance Imaging (MRI), Computed Tomography (CT), X-rays, and ultrasound, among others, make use of image reconstruction. We may encounter limitations while reconstructing the image, such as noise, missing information, a low signal to noise ratio, and a low contrast to noise ratio. We even come across different issues and challenges in application of SR techniques like image registration, computational efficiency, robustness and performance limitations. To address the above-mentioned issues, we study numerous SISR architectures. In this paper, we’ll talk about various techniques, their benefits, drawbacks, and Single Image Super Resolution (SISR) architectures that can help improve super resolution image reconstruction in a variety of applications.

关键词： Image registration Magnetic resonance imaging Computed tomography Superresolution Computer architecture X-rays Robustness

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the Research of parallel Wavelet Transform algorithms on Remote Sensing Image 5

The Research of Parallel Wavelet Transform Algorithms on Rem...

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5th international conference on Electromechanical Control Technology and Transportation (ICECTT)

作者： Zhang, Shengzhong China Univ Geosci Beijing Informat Network Ctr Beijing 100083 Peoples R China

ISBN: (纸本)9781728199283

Focusing on the Wavelet Transform, the paper explores four parallel Wavelet Transform algorithms and techniques from the perspectives of data parallel and algorithm parallel for remote sensing images. Among them, the algorithm based on "Working Pool parallel" achieves dynamic load balance without any limits to the scale of the data and the number of the Slaves. therefore, this algorithm is easier to achieve the goal of processing the vast data of remote sensing images rapidly in the distributed network systems.

关键词： Wavelet Transform parallel processing Remote Sensing

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