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检索条件"任意字段=9th International Conference on Algorithms and Architectures for Parallel Processing"

共 2826 条记录，以下是481-490 订阅

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Convolutional neural networks for detecting challenging cases in cloud masking using Sentinel-2 imagery 8

Convolutional neural networks for detecting challenging case...

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8th international conference on Remote Sensing and Geoinformation of the Environment (RSCy)

作者： Kristollari, Viktoria Karathanassi, Vassilia Natl Tech Univ Athens Sch Rural & Surveying Engn Lab Remote Sensing Heroon Polytech 9 Athens 15780 Greece

Cloud contamination represents a large obstacle for mapping the earth9;s surface using remotely sensed data. therefore, cloudy pixels should be identified and eliminated before any further data processing can be ac... 详细信息

ISBN: (纸本)9781510638570;9781510638587

Cloud contamination represents a large obstacle for mapping the earth's surface using remotely sensed data. therefore, cloudy pixels should be identified and eliminated before any further data processing can be achieved. Although several threshold, multi-temporal and machine learning applications have been developed to tackle this issue, it still remains a challenge. the main challenges are imposed by the difficulty to detect thin clouds and to separate bright clouds from bright non-cloud objects. Convolutional neural networks (CNNs) have proven to be one of the most promising methods for image classification tasks and their use is rapidly increasing in remote sensing problems. CNNs present interesting properties for image processing since they directly exploit not only the spectral information but also the spatial covariance of the data. In this work, we study the applicability of CNNs in cloud detection of Sentinel-2 imagery, a complex remote sensing problem with crucial spatial context. A patch-to-pixel CNN architecture consisting of three convolutional layers and two fully connected layers is trained on a recently available manually created public dataset. the results were evaluated both qualitatively and quantitatively through comparison with ground truth cloud masks and state-of-the art pixel-based algorithms (Fmask, Sen2Cor). It was shown that the proposed architecture even though simpler than the deep learning architectures proposed by recent literature, performs very favorably, especially in the challenging cases. Besides the evaluation of the results, feature maps where observed as an initial effort to extract the weights of the useful kernels for cloud masking applications.

关键词： Convolutional neural networks Cloud masking Sentinel satellite imagery thin cloud detection Bright surfaces detection Feature maps

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Re-purposing computers as a cluster for academic institutions 9

Re-purposing computers as a cluster for academic institution...

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9th IEEE international conference on Consumer Electronics (ICCE-Berlin)

作者： Agius, Irisann-Maria Inguanez, Frankie Malta Coll Arts Sci & Technol Inst Informat & Commun Technol Paola Malta

ISBN: (纸本)9781728127453

Over the past few years, MCAST has been increasing its commitment towards research, yet a common limitation is the availability of processing power by our researchers. Whilst funding is available for the setting up of classroom computers, there isn't enough funding for high-end processing infrastructure for research purposes. We have thus undertaken a research project to explore the possibility of repurposing existing computer systems and have them work in a cluster during out-of-office hours to address just this need. In this initial phase of our research, we are presenting our findings on a simple proof of concept using seven single-board computers benchmarked as a Beowulf and Dispy clusters. the intention is to further this research by testing up to 25 single-board computers then to migrate our setup and findings to 120 computers. Our findings in this research are very encouraging and justify the next phases of this project.

关键词： single-board computer Beowulf Dispy cluster parallel computing Raspberry PI

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Big Data processing Technologies in Distributed Information Systems 10

Big Data Processing Technologies in Distributed Information ...

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10th international conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN) / 9th international conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICth)

作者： Shakhovska, Nataliya Boyko, Nataliya Zasoba, Yevgen Benova, Eleonora Lviv Polytech Natl Univ 12 Bandera St UA-79000 Lvov Ukraine Comenius Univ Fac Management Odbojarov 10 Bratislava Slovakia

the analysis of Big data technologies was provided. An example of MapReduce paradigm application, uploading of big volumes of data, processing and analyzing of unstructured information and its distribution into the clustered database was provided. the article summarizes the concept of "big data". Examples of methods for working with arrays of unstructured data are given. the parallel system Resilient Distributed Datasets (RDD) is organized. the class of basic database operations was realized: database con-nection, table creation, getting in line id, returning all elements of the database, update, delete and create the line. (C) 2019 the Authors. Published by Elsevier B.V.

关键词： Big data Web application Modeling processing analytics

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De(con)struction of the lazy-F loop: improving performance of Smith Waterman alignment 19

De(con)struction of the lazy-F loop: improving performance o...

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19th Annual IEEE international conference on Bioinformatics and Bioengineering (BIBE)

作者： Snytsar, Roman Microsoft Res & AI Redmond WA 98052 USA

ISBN: (纸本)9781728146171

Striped variation of the Smith-Waterman algorithm is known as extremely efficient and easily adaptable for the SIMD architectures. However, the potential for improvement has not been exhausted yet. the popular Lazy-F loop heuristic requires additional memory access operations, and the worst-case performance of the loop could be as bad as the nonvectorized version. We demonstrate the progression of the lazy-F loop transformations that improve the loop performance, and ultimately eliminate the loop completely. Our algorithm achieves the best asymptotic performance of all scan-based SW algorithms O(n/p+log(p)), and is very efficient in practice.

关键词： parallel processing Vectorization Bioinformatics Smith-Waterman

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parallel SAT Simplification on GPU architectures 25th

Parallel SAT Simplification on GPU Architectures

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25th international conference on Tools and algorithms for the Construction and Analysis of Systems (TACAS) held as part of the 22nd European Joint conferences on theory and Practice of Software (ETAPS)

作者： Osama, Muhammad Wijs, Anton Eindhoven Univ Technol NL-5600 MB Eindhoven Netherlands

ISBN: (纸本)9783030174620;9783030174613

the growing scale of applications encoded to Boolean Satisfiability (SAT) problems imposes the need for accelerating SAT simplifications or preprocessing. parallel SAT preprocessing has been an open challenge for many years. therefore, we propose novel parallel algorithms for variable and subsumption elimination targeting Graphics processing Units (GPUs). Benchmarks show that the algorithms achieve an acceleration of 66x over a state-of-the-art SAT simplifier (SatELite). Regarding SAT solving, we have conducted a thorough evaluation, combining both our GPU algorithms and SatELite with MiniSat to solve the simplified problems. In addition, we have studied the impact of the algorithms on the solvability of problems with Lingeling. We conclude that our algorithms have a considerable impact on the solvability of SAT problems.

关键词： Satisfiability Variable elimination Subsumption elimination parallel SAT preprocessing GPU

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Mapping Exceptions to High-Level Source Code on a Heterogeneous Architecture 9

Mapping Exceptions to High-Level Source Code on a Heterogene...

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9th international conference on parallel architectures, algorithms and Programming (PAAP)

作者： Duncan, Ralph Gougol, Nima Frandeen, Jim LookingGlass Cyber Solut San Jose CA 95134 USA

ISBN: (纸本)9781538694039

Network packet processing architectures use heterogeneous processors as accelerators to speed-up classic application domain tasks. Our platform compiles applications to bytecodes for a generalized packet processing machine, then uses microcoded interpreters running in parallel to trigger accelerators as needed. To make the system effective requires helping users debug apps, which includes tracking runtime exceptions. Exception tracking is complicated when a system-thrown exception is detected on an accelerator and the current binary form is far removed from the original high-level language source or associated assembly code. We tackle this problem by (1) instrumenting the compiler and a low-level bytecode tool, (2) reporting exceptions with the interpreter, (3) creating a specialized tool to collate the higher-level program forms with the lower-level bytecode forms. this functionality provides data needed for post-mortem program analysis.

关键词： parallel processing exceptions accelerators debugging software tools packet processing

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Efficient parallel GCD algorithms for Multicore Shared Memory architectures

Efficient Parallel GCD Algorithms for Multicore Shared Memor...

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international conference on Advances in ICT for Emerging Regions

作者： Gihan tharaka Pathirana Sittampalam Sotheeswaran Nagulan Ratnarajah Faculty of Science Eastern University Sri Lanka Faculty of Applied Science Vavuniya Campus of the University of Jaffna Sri Lanka

ISBN: (数字)9781728186559

ISBN: (纸本)9781728186566

the greatest common divisor (GCD) is used for numerous applications in number theory, modular arithmetic, encryption algorithms such as RSA, random number generation, and solving linear Diophantine equations. High-performance algorithms, which are efficiently and accurately find the GCD of two integers and n (>2) integers, are needed in the modern world for many applications in science and engineering. parallel hardware and parallel programming solve such emerging challenges that are not possible in a serial world. Modern desktop and laptop computers are equipped with multicore processors with shared memory architecture. In this paper, we develop novel efficient parallel n integers GCD algorithms for multicore shared memory architecture. the brute force, divide-and-conquer, linear recursive and finding minimum first techniques are adopted in our novel algorithms to reduce the size and the complexity of the n integers GCD problem. Various working models of OpenMP, such as the thread-centric, loop-centric and task-centric models are utilized, which promised a more natural way of exploiting and expressing regular and irregular algorithms. A comprehensive performance analysis applies to prove the efficiency of the proposed algorithms.

关键词： parallel algorithms Task analysis Multicore processing Time complexity Software algorithms Memory architecture Heuristic algorithms

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Proceedings - 2019 IEEE Intl Conf on parallel and Distributed processing with Applications, Big Data and Cloud Computing, Sustainable Computing and Communications, Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019

Proceedings - 2019 IEEE Intl Conf on Parallel and Distribute...

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17th IEEE international conference on parallel and Distributed processing with Applications, 9th IEEE international conference on Big Data and Cloud Computing, 9th IEEE international conference on Sustainable Computing and Communications, 12th IEEE international conference on Social Computing and Networking, ISPA/BDCloud/SustainCom/SocialCom 2019

ISBN: (纸本)9781728143286

the proceedings contain 232 papers. the topics discussed include: convolutional neural network-based approach for citrus diseases recognition;using temporal conceptual graphs and neural networks for big data-based attack scenarios reconstruction;taxi demand prediction with LSTM-based combination model;counting attention based on classification confidence for visual question answering;an optimization method of WebP images lossy compression algorithm for FPGAs;self-adaptive address mapping mechanism for access pattern awareness on DRAM;a high-performance self-learning antelopes migration algorithm (SAMA) for global optimization;and using resource use data and system logs for HPC system error propagation and recovery diagnosis.

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architectures Synthesizing Method for Medium-Voltage Photovoltaic Power Electronic Systems

Architectures Synthesizing Method for Medium-Voltage Photovo...

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international conference on Power Electronics and Motion Control (IPEMC)

作者： Chu Wang Min Chen Junwei Huang Dehong Xu College of Electrical Engineering Zhejiang University Hangzhou China

ISBN: (数字)9781728153018

ISBN: (纸本)9781728153025

Numerous architectures for medium-voltage power electronic systems are investigated. To find out the architectures suitable for the medium-voltage photovoltaic power electronic systems, this paper gives a systematic study on medium-voltage power electronic systems (MVPESs) architectures for large-scale PV plants. A synthesis method of MVPESs is firstly introduced. It is composed of two steps. First, the power conversion chains are synthesized by traversing all possible designs of the multi-stage converters. Based on the power conversion chains, topologies are obtained by cascade connection or parallel connection. A data structure representing the MVPESs is also introduced that can help to synthesize the MVPESs using computer. the advantages and disadvantages of these MVPESs are also discussed. Two typical MVPES architectures are compared with efficiency and cost.

关键词： Photovoltaic systems Systematics Medium voltage Data structures Power electronics Power conversion Voltage control

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Performance improvement of deep learning architectures for phonocardiogram signal classification using fast fourier transform 9

Performance improvement of deep learning architectures for p...

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9th international conference on Advances in Computing and Communication, ICACC 2019

作者： Gopika, P. Sowmya, V. Gopalakrishnan, E.A. Soman, K.P. Amrita Vishwa Vidyapeetham Center for Computational Engineering and Networking Coimbatore India

ISBN: (纸本)9781728155234

Phonocardiogram known as PCG plays a significant role in the early diagnosis of cardiac abnormalities. Phonocardiogram can be used as initial diagnostics tool in remote applications due to its simplicity and cost effectiveness. Instead of disease specific approach, the proposed work aims for the single architecture that could diagnose different cardiac abnormality from the PCG signals collected from various sources. Our study also shows the effectiveness of using Fast Fourier Transform (FFT) in signal processing applications. It avoids the trivial preprocessing and feature extraction mechanisms with the promising results. © 2019 IEEE.

关键词： Fast Fourier transforms

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