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检索条件"任意字段=10th International Conference on Algorithms and Architectures for Parallel Processing"

共 2794 条记录，以下是351-360 订阅

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Study on the method of extracting diabetes history from unstructured chinese electronic medical record 10th

Study on the method of extracting diabetes history from unst...

引用

10th international Symposium on parallel architectures, algorithms and Programming, PAAP 2019

作者： Niu, Chengzhi Zhao, Xiaofan The First Affiliated Hospital of Zhengzhou University Beijing China People’s Public Security University of China Zhengzhou China

In this paper, based on the real electronic medical record data of the hospital, a customized method of rule-based learning and information extraction is designed, and three steps are adopted to realize the extraction of Chinese information: sampling and labeling. the medical history information of 600 electronic medical records (including current medical history, past history, personal history, family history, etc.) were randomly selected, and the information needed to be extracted (taking diabetes history as an example) was marked by the labeling platform developed in this study. According to the annotation results, the extraction template is summarized, and the extraction template can be directly used to extract the regular expression extraction rules, and these rules can be used to extract the actual information. the method of manual verification and automatic verification is used to verify the effectiveness of the method. By using the method of natural language processing and rule-based information extraction, an algorithm for extracting customized information from unstructured Chinese electronic medical record text data is designed and implemented. Aiming at the extraction of diabetes history in the hospital, the field verification of a single department has achieved good results. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Natural language processing systems

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Accelerating Image Encryption with AES Using GPU: A Quantitative Analysis 18th

Accelerating Image Encryption with AES Using GPU: A Quantita...

引用

Joint conferences on 18th international conference on Intelligent Systems Design and Applications, ISDA 2018 and 10th World Congress on Nature and Biologically Inspired Computing , NaBIC 2018

作者： Saxena, Aryan Agrawal, Vatsal Chakrabarty, Rajdeepa Singh, Shubhjeet Banu, J. Saira Vellore Institute of Technology Vellore India

ISBN: (纸本)9783030166595

From military imaging to sharing private pictures, confidentiality, integrity and authentication of images play an important role in the Internet of modern world. AES is currently one of the most famous symmetric cryptographic algorithms. Performing encryption/decryption of high-resolution images with AES is highly computation-intensive and time-consuming due to their large sizes and the underlying complexity of AES algorithm. Earlier increasing cryptographic complexity meant an increase in the processing time for encryption as well as decryption. Now, with the rise of the powerful GPUs containing thousands of high-performance and efficient cores and with the evolvement of GPU computing, the processing time has been reduced to a fraction of the time it used to take earlier. this paper presents a parallel implementation of AES using NVIDIA CUDA and OpenCV to encrypt images rapidly. We achieved an average speed up of four times on GPU as compared to CPU-only. © 2020, Springer Nature Switzerland AG.

关键词： Graphics processing unit

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Design and Analysis of Programming Platform for Accelerated GPU-Like architectures 2020

Design and Analysis of Programming Platform for Accelerated ...

引用

28th international conference on Real-Time Networks and Systems (RTNS)

作者： Zahaf, Houssam-Eddine Lipari, Giuseppe Lille Univ CRIStAL Lille France

ISBN: (纸本)9781450375931

Many recent computing platforms combine CPUs with different types of accelerators such as Graphical processing Units (GPUs), to cope with the increasing computation needs of complex real-time applications. However, most hardware accelerators have not been designed to provide predictable timing-behavior to support real-time tasks. Moreover, they do not provide efficient preemption mechanisms. In this work, we present the design of a software library to program and execute real-time tasks onto hardware accelerators (e.g. GPUs) that exhibit limited-preemption capabilities with variables costs. the library provides: 1) parallel execution for real-time applications within the same accelerator;2) the choice of different partitioned scheduling algorithms (FP, EDF, Gang-EDF);3) support for (limited) task preemption. We describe a user space implementation of the library as a proof of concept. We also present a schedulability analysis for real-time tasks programmed using this platform, in particular for partitioned EDF and GANG-EDF. the effectiveness of the proposed scheduling strategies and their analyses is demonstrated through 1) actual measurements on a GPU platform, and 2) through synthetic task sets.

关键词： Program processors

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A pipelining strategy for accelerating convolutional networks on arm processors 10th

A pipelining strategy for accelerating convolutional network...

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10th international Symposium on parallel architectures, algorithms and Programming, PAAP 2019

作者： Zhou, Xin Li, Rongchun Zhang, Peng Liu, Yuntao Dou, Yong National Key Laboratory for Parallel and Distribution Processing National University of Defense Technology Changsha450001 China

Convolutional neural networks (CNN) is playing an important role in many fields. Many applications are able to run the inference process of CNN with pre-trained models on mobile devices in these days. Improving performance of embedded processors such as ARM-based CPUs makes it possible to meet the requirement of real-time processing. In this paper, a pipelining strategy is proposed to accelerate convolution networks on ARM processors. We implement a 3 × 3 convolution with Neon instructions which are single instruction and multiple data (SIMD) instructions supported by ARM processors. In order to reduce stalls in the pipeline, issue orders of instructions are rearranged according to the out-of-order execution and dual-issue mechanism on ARM processors. A tiling method is exploited to increase data reuse. the input feature map is divided into multiple 6 × 6 tiles, and the computations within the tile is highly optimized using our proposed pipelining strategy. the speedup of proposed method is 2.88 compared with gcc compiled codes on RK3288. the effect of our optimizing method is measured by a performance profiling tool, cycles and cache misses are decreased significantly. the multi-thread version implemented with openMP achieve speedup of 6.8 compared with single-thread gcc complied version. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Pipelines

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Quadratic Mutual Information estimation of mouse dLGN receptive fields reveals asymmetry between ON and OFF visual pathways

Quadratic Mutual Information estimation of mouse dLGN recept...

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international IEEE/EMBS conference on Neural Engineering, CNE

作者： Zhiguang Mu Konstantin Nikolic Simon R. Schultz Neural Computation Unit Okinawa Institute of Science and Technology Okinawa Japan Imperial College London London Centre for Neurotechnology Imperial College London London

ISBN: (纸本)9781728143378;9781728143385

the longstanding theory of “parallel processing” predicts that, except for a sign reversal, ON and OFF cells are driven by a similar pre-synaptic circuit and have similar visual field coverage, direction/orientation selectivity, visual acuity and other functional properties. However, recent experimental data challenges this view. Here we present an information theory based receptive field (RF) estimation method - quadratic mutual information (QMI) - applied to multi-electrode array electrophysiological recordings from the mouse dorsal lateral geniculate nucleus (dLGN). this estimation method provides more accurate RF estimates than the commonly used Spike-Triggered Average (STA) method, particularly in the presence of spatially correlated inputs. this improved efficiency allowed a larger number of RFs (285 vs 189 cells) to be extracted from a previously published dataset. Fitting a spatial-temporal Difference-of-Gaussians (ST-DoG) model to the RFs revealed that while the structural RF properties of ON and OFF cells are largely symmetric, there were some asymmetries apparent in the functional properties of ON and OFF visual processing streams - with OFF cells preferring higher spatial and temporal frequencies on average, and showing a greater degree of orientation selectivity.

关键词： Radio frequency Visualization Fitting Estimation Neural engineering parallel processing Mice

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Characterizing the Role of a Single Coupling Layer in Affine Normalizing Flows 1

引用

42nd German conference on Pattern Recognition, DAGM GCPR 2020 held in parallel with 25th international Symposium on Vision, Modeling, and Visualization, VMV 2020 and 10th Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2020

作者： Draxler, Felix Schwarz, Jonathan Schnörr, Christoph Köthe, Ullrich Heidelberg Collaboratory for Image Processing Heidelberg University Heidelberg Germany Visual Learning Lab Heidelberg University Heidelberg Germany Image and Pattern Analysis Group Heidelberg University Heidelberg Germany

ISBN: (数字)9783030712785

ISBN: (纸本)9783030712778

Deep Affine Normalizing Flows are efficient and powerful models for high-dimensional density estimation and sample generation. Yet little is known about how they succeed in approximating complex distributions, given the seemingly limited expressiveness of individual affine layers. In this work, we take a first step towards theoretical understanding by analyzing the behaviour of a single affine coupling layer under maximum likelihood loss. We show that such a layer estimates and normalizes conditional moments of the data distribution, and derive a tight lower bound on the loss depending on the orthogonal transformation of the data before the affine coupling. this bound can be used to identify the optimal orthogonal transform, yielding a layer-wise training algorithm for deep affine flows. Toy examples confirm our findings and stimulate further research by highlighting the remaining gap between layer-wise and end-to-end training of deep affine flows. © 2021, Springer Nature Switzerland AG.

关键词： Maximum likelihood estimation

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POSTER: Exploiting Multi-Level Task Dependencies to Prune Redundant Work in Relax-Ordered Task-parallel algorithms 28

POSTER: Exploiting Multi-Level Task Dependencies to Prune Re...

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28th international conference on parallel architectures and Compilation Techniques (PACT)

作者： Ahmad, Masab Shan, Mohsin Rehman, Akif Khan, Omer Univ Connecticut Storrs CT 06269 USA

ISBN: (纸本)9781728136134

Work-efficient task-parallel algorithms enforce ordering between tasks using queuing primitives. Such algorithms offer limited parallelism due to queuing constraints that result in data movement and synchronization bottlenecks. Speculatively relaxing order of tasks across cores using the Galois framework shows promise as false dependencies generated by strict queuing constraints are mitigated to unlock task parallelism. However, relaxed ordering results in redundant work, for which Galois relies on static measures to improve work-efficiency. this paper proposes a dynamic multi-level parent-child task dependency checking mechanism in Galois to prune redundant work by exploiting monotonic properties of shared data values. Evaluation on a 40-core Intel Xeon multicore shows an average of 2x performance improvements over state-of-the-art ordered and relax ordered graph algorithms.

关键词： Task analysis parallel processing Heuristic algorithms Benchmark testing Synchronization Multicore processing Kinetic theory

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Architecture for parallel PV strings using the switched-capacitor-based differential power processing technique 10

Architecture for parallel PV strings using the switched-capa...

引用

10th international conference on Power Electronics, Machines and Drives, PEMD 2020

作者： Niazi, Kamran A.K. Yang, Yongheng Sera, Dezso Department of Energy Technology Aalborg University Pontoppidanstraede 101 Aalborg Denmark

ISBN: (纸本)9781839535635

Mismatch effects are common in photovoltaic (PV) systems, which affect the overall system performance and the PV module life. A mismatch causes an imbalance in the PV module voltages, and therefore, it is not recommended to connect PV modules in parallel due to increased power losses and stresses. To mitigate the effect of mismatch, module-level power electronics converters are considered as an effective solution. Accordingly, this paper introduces a differential power processing (DPP) converter based on switched-capacitors (SCs) for parallel-connected PV strings. the proposed DPP converters are connected across each PV module, which equalizes the PV module voltages. the technique can help to generate more output power regardless of mismatch between PV modules and make the parallelization of PV strings possible. the proposed architecture is analyzed through simulations and compared with parallel-connected PV strings using Schottky diodes. © PEMD *** right reserved.

关键词： Photovoltaic cells

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A Weekly Supervised Speech Enhancement Strategy using Cycle-GAN

A Weekly Supervised Speech Enhancement Strategy using Cycle-...

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10th IEEE international conference on Signal processing, Communications and Computing (IEEE ICSPCC)

作者： Xiang, Yang Bao, Changchun Yuan, Jing Beijing Univ Technol Beijing 100124 Peoples R China

ISBN: (纸本)9781728172019

Nowadays, due to the application of deep neural network (DNNS), speech enhancement (SE) technology has been significantly developed. However, most of current approaches need the parallel corpus that consists of noisy signals, corresponding speech signals and noise on the DNNs training stage. this means that a large number of realistic noisy speech signals is difficult to train the DNNs. As a result, the performance of the DNNs is restricted. In this research, a new weakly supervised speech enhancement approach is proposed to break this restriction, using the cycle-consistent generative adversarial network (CycleGAN). there are two stage for our methods. In training stage, a forward generator is employed to estimate ideal time-frequency (T-F) mask and an inverse generator is utilized to acquire noisy speech magnitude spectrum (MS). Additionally, two discriminators are used to distinguish the real clean and noisy speech from generated speech, respectively. In enhancement stage, the T-F mask is directly estimated by using the well-trained forward generator for speech enhancement. Experimental results indicate that our strategy can not only achieve satisfied performance for non-parallel data, but also acquire the higher score in speech quality and intelligibility for the DNN-based speech enhancement using parallel data.

关键词： speech enhancement CycleGAN parallel-data-free data

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Increasing the informativeness content of human face vibraimage through application principles of cognitive psychology 10

Increasing the informativeness content of human face vibraim...

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10th Annual international conference on Biologically Inspired Cognitive architectures, BICA 2019

作者： Kolobashkina, Lyubov Alyushin, Victor Moscow Russia

the relevance of the use of modern digital technologies for continuous monitoring of the current functional and psycho-emotional state (CFPES) of workers in critical professions is shown. the possibilities of optical technology based on the receipt and analysis of vibroimages of a person's face are analyzed. It is shown that the practical implementation of the principles of cognitive psychology makes it possible to increase the informativeness of vibraimage by minimizing the influence of external noise, as well as noise of software and hardware for image processing. the developed algorithm is focused on streaming video digital processing. the experimental testing of the approach during the training sessions confirmed its high efficiency. © 2020 the Authors. Published by Elsevier B.V.

关键词： Image processing

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