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CESMP: Chinese-English Segment-aligned Multi-field Patent Data

CESMP: Chinese-English Segment-aligned Multi-field Patent Da...

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IEEE international conference on Cloud Computing and Intelligence Systems (CCIS)

作者： Wuying Liu Lin Wang Fumao Hu Laboratory of Language Engineering and Computing Guangdong University of Foreign Studies Guangzhou China Xianda College of Economics and Humanities Shanghai International Studies University Shanghai China School of Foreign Languages Luoyang Institute of Science and Technology Luoyang China

ISBN: (纸本)9781665441506

Patent data from various countries in the world implies the essence of scientific discovery and technological innovation of all human beings, but language differences have become a huge obstacle to patent data retrieval and communication. We hope to build a bridge from Chinese to English in the patent domain, so that English speakers can make better use of Chinese patent data. With the help of natural language processing technologies such as optical character recognition, Chinese text processing, machine translation and English text processing, we construct digital Chinese-English segment-aligned multi-field patent (CESMP) data from scanned Chinese patents. the current CESMP data consists of 610,310 patent documents in XML format. Each patent document contains six required fields (date, publication, ipc, title, abstract, and claim) and four optional fields (cpc, wipo, originalapplicant, and currentowner), among which the wipo, title, abstract, and claim fields are aligned with Chinese and English segments. Supported by well-structured bilingual patent data, on the one hand, the resource construction algorithms can efficiently build a bilingual patent dictionary and a parallel patent segment bank; on the other hand, the deep natural language processing algorithms can be effectively implemented into many practical intelligent applications such as cross-language patent retrieval, patent spam filtering, patent network analysis, patent machine translation, etc.

关键词： Optical filters Patents Technological innovation XML Network analyzers Adaptive optics Optical character recognition software

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Automatic stereo disparity search range detection on parallel computing architectures 17th

Automatic stereo disparity search range detection on paralle...

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17th international conference on Image Analysis and Recognition, ICIAR 2020

作者： Perera, Ruveen Low, Tobias University of Southern Queensland Toowoomba Australia

ISBN: (纸本)9783030503468

From the earliest to the state-of-the-art algorithms, stereo depth estimation techniques often require a disparity search range (DSR) value to be chosen manually. However, the optimal DSR varies from one scene to another making the results depend on the operator input and operator having to optimize the configuration by using trial-and-error. In this paper we present a novel technique suitable for parallel computing architectures which detects the optimum DSR for a given scene without requiring operator input or prior knowledge of the scene. Experiments on stereo images from Middlebury, KITTI and Sceneflow bench-mark datasets indicate that our technique can automatically extract a suitable DSR value from different scenes, which leads to better consistency in matching. the technique presented here can be used with existing stereo algorithms to limit the size of the cost volume as it is being built (without requiring pre-processing or operator input). A CUDA based implementation of our method can deliver real-time performance on consumer grade GPUs at high frame rates. © Springer Nature Switzerland AG 2020.

关键词： Graphics processing unit

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An OpenMP parallel Genetic Algorithm for Design Space Exploration of Heterogeneous Multi-processor Embedded Systems 2020

An OpenMP Parallel Genetic Algorithm for Design Space Explor...

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11th Workshop on parallel Programming and Run-Time Management Techniques for Many-Core architectures / 9th Workshop on Design Tools and architectures for Multicore Embedded Computing Platforms, PARMA-DITAM 2020

作者： Muttillo, Vittoriano Giammatteo, Paolo Fiorilli, Giuseppe Pomante, Luigi University of L’Aquila L’Aquila Italy

ISBN: (纸本)9781450375450

Heterogeneous multiprocessor platforms are becoming widespread in the embedded system domain, mainly for the opportunity to improve timing performance and to minimize energy/power consumption and costs. therefore, when using such platforms, it is important to adopt a Design Space Exploration (DSE) strategy that considers compromises among different objectives. Existing DSE approaches are generally based on evolutionary algorithms to solve Multi-Objective Optimization Problems (MOOPs) by minimizing a linear combination of weighted cost functions (i.e., Weighted Sum Method, WSM). In this way, the main issues are related to reduce timing execution while trying to improve the evolutionary algorithm performance, introducing strategies that attempt to bring better solutions. Code parallelization is one of the most used approaches in this field, but no standard methods have been released since different aspects could affect the performance. this approach leads to exploit parallel and distributed processing elements in order to implement evolutionary algorithms. In the latter case, if we consider genetic algorithms, it is possible to talk about parallel Genetic algorithms (PGA). Considering this context, this paper focuses on DSE for heterogeneous multi-processor embedded systems and introduces an improvement that reduces execution time using parallel programming languages (i.e., OpenMP) inside the main genetic algorithm approach, while trying to lead to better partitioning solutions. the descriptions of the adopted DSE activities and the OpenMP implementation, validated by means of a case study, represent the core of the paper. © 2020 Association for Computing Machinery.

关键词： Multiobjective optimization

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HDF5-Based I/O Optimization for Extragalactic HI Data Pipeline of FAST 19th

HDF5-Based I/O Optimization for Extragalactic HI Data Pipeli...

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19th international conference on algorithms and architectures for parallel processing (ICA3PP)

作者： Ji, Yiming Yu, Ce Xiao, Jian Tang, Shanjiang Wang, Hao Zhang, Bo Tianjin Univ Coll Intelligence & Comp Tianjin Peoples R China Chinese Acad Sci CAS Key Lab FAST NAOC Beijing Peoples R China

ISBN: (纸本)9783030389611;9783030389604

the Five-hundred-meter Aperture Spherical Radio Telescope (FAST), which is the largest single-dish radio telescope in the world, has been producing a very large data volume with high speed. So it requires a high performance data pipeline to covert the huge raw observed data to science data product. However, the existing solutions of pipelines widely used in radio data processing cannot tackle this situation efficiently. the paper proposes a pipeline architecture for FAST based on HDF5 format and several I/O optimization strategies. First, we design the workflow engine driving the various tasks efficiently in the pipeline;second, we design a common radio data storage specification on the top of HDF5 format, and also developed a fast converter to map the original FITS format to the new HDF5 format;third, we apply several concrete strategies to optimize the I/O operations, including chunks storage, parallel reading/writing, on-demand dump, and stream process etc. In the experiment of processing 700 GB of FAST data, the results show that HDF5 based data structure without other optimizations was 1.7 times faster than original FITS format. If chunk storage and parallel I/O optimization are applied, the overall performance can reach 4.5 times as the original one. Moreover, due to the good expansibility and flexibility, our solution of FAST pipeline can be adapted to other radio telescopes.

关键词： FAST FITS HDF5 Pipeline in parallel High performance I/O

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parallel Computational Structure and Semantics For Soil Quality Analysis Based On LoRa and Apache Spark 14

Parallel Computational Structure and Semantics For Soil Qual...

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14th IEEE international conference on Semantic Computing (ICSC)

作者： Lima Pereira, Mauricio F. Cruvinel, Paulo E. Alves, Gabriel M. Beraldo, Jose Marcos G. Embrapa Instrumentat Sao Carlos SP Brazil Univ Fed Mato Grosso Inst Comp Sci Cuiaba MT Brazil Univ Fed Sao Carlos Post Grad Program Comp Sci Sao Carlos SP Brazil Fed Inst Sao Paulo Sj Da Boa Vista Matao SP Brazil

ISBN: (数字)9781728163321

ISBN: (纸本)9781728163321

A large volume of data is being produced by agrometeorological stations, satellites, Unmanned Aerial Vehicles (UAV), agricultural machines, among other equipment's, all used for agricultural management in food production. Related to that, actually, there are demands for the organization of new computational techniques for agricultural risk management. therefore, the data volume is immense, and there are challenges to execute them based on both conventional algorithms and architectures. this paper presents the organization of a new parallel model based on semantics and the Apache Spark framework for agricultural risk management related to soil quality. Based in such concept, a parallel algorithm is proposed to distribute tomographic images of soil to several nodes, as well as, to ask them for not only pore recognition, but also for soil density and soil compaction measurements from those images. Besides, the developed parallel algorithm allowed to obtain a better performance gains and reduction of the time required to generate maps for agricultural soil quality, i.e., to support decision making in such field of interest.

关键词： parallel processing Apache Spark Tomographic Images Soil Quality LPWAN

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On GPU optimizations of stencil codes for highly parallel simulations

On GPU optimizations of stencil codes for highly parallel si...

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Euromicro conference on parallel, Distributed and Network-Based processing

作者： Nikolai Pfisterer Marco Berghoff Achim Streit Steinbuch Centre for Computing Karlsruhe Institute of Technology Karlsruhe Germany

Stencil codes are valuable methods to solve partial differential equations of models in a wide range of applications in science and engineering. Graphics processing units (GPUs) provide a highly parallel architecture with fast directly accessible memory that is desirable to run stencil codes. they enable larger and more complex simulations that are solved faster compared to simulating on CPUs. We provide a solution for users to run highly parallel stencil codes on GPUs, that can also be efficiently used on a distributed GPU *** this work, we present an extension to the multi-disciplinary framework NAStJA originally designed to efficiently run stencil codes on the CPUs in current high-performance computing (HPC) systems, to also be able to run on GPUs. We describe different methods to increase the performance of stencil codes on GPUs like a border exchange method which is transparent to the user, as well as a buffer for gradient values that are needed multiple times. We show their performance using the phase-field method as a stencil code *** this GPU extension and optimizations implemented into the NAStJA framework, we can show highly improved performance compared to the CPU implementation, and an efficiency of 92% (weak scaling) for a large-scale example simulation on 64 GPUs on the ForHLR II HPC system.

关键词： Partial differential equations Graphics processing units Clustering algorithms Performance gain parallel architectures Central processing Unit Mathematical model

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Architecture and CAD Software Solutions for PCB Design 12th

Architecture and CAD Software Solutions for PCB Design

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12th international conference on High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production, HPCST 2022

作者： Tarasov, Ilya Mirzoyan, Dmitry Sovietov, Peter MIREA – Russian Technological University Vernadsky Avenue 78 Moscow119454 Russia

ISBN: (纸本)9783031237430

the article discusses the CAD architecture for PCB design, designed to create a new generation design system, focused on a large number of components, additional routing layers. the identified disadvantage of modern CAD printed circuit boards is a large load on the CPU when constructing a two-dimensional image in the construction area. Zooming while viewing the PCB results in image rebuilding, where elements such as circles, arcs, and polygon cutouts put additional CPU load and slow down system performance. the article discusses the CAD architecture based on the preparation of data on design elements in a format suitable for transfer to the GPU using the API of the OpenGL library. this approach transfers a significant part of the computational load to the GPU, which increases the overall performance of the CAD graphics subsystem. Additionally, the issues of using scripting languages for the automated creation of regular structures, such as external component pins, buses and vias for connecting signals in a regular way, are considered. © 2023, the Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Graphics processing unit

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A Communication-Avoiding Algorithm for Molecular Dynamics Simulation 19th

A Communication-Avoiding Algorithm for Molecular Dynamics Si...

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19th international conference on algorithms and architectures for parallel processing (ICA3PP)

作者： Wang, Bei Chen, Yifeng Hou, Chaofeng Peking Univ EECS Beijing 100871 Peoples R China Chinese Acad Sci Inst Proc Engn Beijing Peoples R China

ISBN: (纸本)9783030389918;9783030389901

Molecular dynamics and many similar time-dependent computing tasks are defined as simple state updates over multiple time steps. In recent years, modern supercomputing clusters have enjoyed fast-growing compute capability and moderate-growing memory bandwidth, but their improvement of network bandwidth/latency is limited. In this paper, we propose a new communication-avoiding algorithmic model based on asynchronous communications which, unlike BSP, records and handles multiple iterative states together. the basic idea is to let computation run in small regular time steps while communications over longer dynamic time steps. Computation keeps checking inaccuracies so that the intervals between communications are small in volatile scenarios but longer when dynamics is smooth. this helps reduce the number of data exchanges via network communication and hence improve the overall performance when communication is the bottleneck. We test MD simulation of condensed covalent materials on the Sunway TaihuLight. For best time-to-solution, the general-purpose supercomputer Sunway TaihuLight performs 11.8K steps/s for a system with 2.1 million silicon atoms and 5.1 K steps/s for 50.4 million silicon atoms. this time-to-solution performance is close to those of state-of-art hardware solution. A software solution using general-purpose supercomputers makes the technology more accessible to the general scientific users.

关键词： BSP parallel-in-time Molecular dynamics

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Performance Comparison for Different Neural Network architectures for chest X-Ray Image Classification

Performance Comparison for Different Neural Network Architec...

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international conference on Engineering, Applied Sciences, and Technology (ICEAST)

作者： Pinyada Rajadanuraks Sarapom Suranuntchai Suejit Pechprasarn Treesukon Treebupachatsakul School of Engineering King Mongkut’s Institute of Technology Ladkrabang Bangkok Thailand College of Biomedical Engineering Rangsit University Pathum Thani Thailand

ISBN: (纸本)9781665441223;9781665431057

Nowadays, the diagnose of diseases or abnormally clinical conditions of the chest can be done by reading chest X-Ray images by radiologists. the diagnosis from radiologist is considered qualitative analysis, which collects and analyzes the non-numerical data, which relates to the individual's experience. Consequently, errors may occur during the diagnosis, such as misdiagnosis. therefore, this research has a purpose for developing the software program which gathers Medical Image processing and Artificial Intelligence focuses on Deep Learning Neural Network, implementing on MATLAB program by training and classifying on labeled and non-labeled chest X-Ray images between normal condition and 13 abnormal cases. It is also stated that the trained model results are considered quantitative analysis, which can be confirmed or rejected by testing the causal relationship between variables. In this research, we apply several pre-trained architectures to our network, which, finally, the ResNet-50 architecture gave the highest percentage of accuracy compared with other architectures. Moreover, it is the network that appropriates for our image dataset.

关键词： Deep learning Training Neural networks Computer architecture Network architecture Mathematical model X-ray imaging

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Algorithmic Analysis of Priority-Based Bin Packing 7th

Algorithmic Analysis of Priority-Based Bin Packing

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7th international conference on algorithms and Discrete Applied Mathematics, CALDAM 2021

作者： Wojciechowski, Piotr Subramani, K. Velasquez, Alvaro Caskurlu, Bugra LDCSEE West Virginia University MorgantownWV United States Information Directorate AFRL RomeNY United States TOBB University of Economics and Technology Ankara Turkey

ISBN: (纸本)9783030678982

this paper is concerned with a new variant of Traditional Bin Packing (TBP) called Priority-Based Bin Packing with Subset Constraints (PBBP-SC). In a TBP instance, we are given a collection of items { a1, a2, … an}, with ai∈ (0, 1 ) and a collection of unit-size bins { B1, B2, …, Bm}. One problem associated with TBP is the bin minimization problem. the goal of this problem is to pack the items in as few bins as possible. In a PBBP-SC instance, we are given a collection of unit-size items and a collection of bins of varying capacities. Associated with each item is a positive integer which is called its priority. the priority of an item indicates its importance in a (possibly infeasible) packing. As with the traditional case, these items need to be packed in the fewest number of bins. What complicates the problem is the fact that each item can be assigned to only one of a select set of bins, i.e., the bins are not interchangeable. We investigate several problems associated with PBBP-SC. Checking if there is a feasible assignment to a given instance is one problem. Finding a maximum priority assignment in case of the instance being infeasible is another. Finding an assignment with the fewest number of bins to pack a feasible instance is a third. We derive a number of results from both the algorithmic and computational complexity perspectives for these problems. © 2021, Springer Nature Switzerland AG.

关键词： parallel processing systems

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