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Butterfly-orthogonal loop subdivision wavelets 13

Butterfly-orthogonal loop subdivision wavelets

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13th International conference on Interfaces and Human computer Interaction 2019, IHCI 2019, 12th International conference on Game and Entertainment Technologies 2019, GET 2019 and 13th International conference on computer Graphics, Visualization, computer Vision and Image Processing 2019, CGVCVIP 2019

作者： Wang, Huawei Qin, Guiming Xiao, Li Cao, Yi Laboratory of Computational Physics 6 Huayuan Road Haidian Beijing100088 China Institute of Applied Physics and Computational Mathematics 2 Fenghao East Road Haidian Beijing100094 China CAEP Software Center for High Performance Numerical Simulation 6 Huayuan Road Haidian Beijing100088 China

ISBN: (纸本)9789898533913

In this paper, we have proposed a new butterfly-orthogonal Loop subdivision wavelet based on the lifting scheme. We use a butterfly-style local orthogonalization structure to optimize the free parameters introduced in the wavelet transforms so as to obtain a very stable and nearly semi-orthogonal wavelet. Although it takes a little more computation time than the existing Loop subdivision wavelets, the proposed wavelet possesses a better fitting quality as well as performance of denoising, as demonstrated in the experiments. Similar to the other Loop subdivision wavelets, the butterfly-orthogonal wavelet has a linear computing complexity, because all lifting operations in the wavelet transforms are of perfect in-place computing and relate to only local vertex points or edge points. The proposed wavelet analysis can be used in a wide range of applications, including progressive transmission, shape approximation, data compression and multiresolution rendering. © Copyright 2019 IADIS Press. All rights reserved.

关键词： Wavelet analysis

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Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time 21

Deep inference of latent dynamics with spatio-temporal super...

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Proceedings of the 35th International conference on Neural Information Processing Systems

作者： Feng Zhu Andrew R. Sedler Harrison A. Grier Nauman Ahad Mark A. Davenport Matthew T. Kaufman Andrea Giovannucci Chethan Pandarinath Neuroscience Graduate Program Emory University Center for Machine Learning Georgia Tech Computational Neuroscience Graduate Program The University of Chicago School of Electrical and Computer Engineering Georgia Tech Dept. of Organismal Biology and Anatomy The University of Chicago and Neuroscience Institute The University of Chicago Joint Dept. of Biomedical Engineering UNC Chapel Hill and NC State University and UNC Chapel Hill Neuroscience Center and NC State/UNC Closed-Loop Engineering for Advanced Rehabilitation (CLEAR) Coulter Dept. of Biomedical Engineering Emory University and Georgia Tech and Dept. of Neurosurgery Emory University

ISBN: (纸本)9781713845393

Modern neural interfaces allow access to the activity of up to a million neurons within brain circuits. However, bandwidth limits often create a trade-off between greater spatial sampling (more channels or pixels) and the temporal frequency of sampling. Here we demonstrate that it is possible to obtain spatio-temporal super-resolution in neuronal time series by exploiting relationships among neurons, embedded in latent low-dimensional population dynamics. Our novel neural network training strategy, selective backpropagation through time (SBTT), enables learning of deep generative models of latent dynamics from data in which the set of observed variables changes at each time step. The resulting models are able to infer activity for missing samples by combining observations with learned latent dynamics. We test SBTT applied to sequential autoencoders and demonstrate more efficient and higher-fidelity characterization of neural population dynamics in electrophysiological and calcium imaging data. In electrophysiology, SBTT enables accurate inference of neuronal population dynamics with lower interface bandwidths, providing an avenue to significant power savings for implanted neuroelectronic interfaces. In applications to two-photon calcium imaging, SBTT accurately uncovers high-frequency temporal structure underlying neural population activity, substantially outperforming the current state-of-the-art. Finally, we demonstrate that performance could be further improved by using limited, high-bandwidth sampling to pretrain dynamics models, and then using SBTT to adapt these models for sparsely-sampled data.

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BSTC: A Novel Binarized-Soft-Tensor-Core Design for Accelerating Bit-Based Approximated Neural Nets 19

BSTC: A Novel Binarized-Soft-Tensor-Core Design for Accelera...

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International conference for high performance Computing, Networking, Storage and Analysis (SC)

作者： Li, Ang Geng, Tong Wang, Tianqi Herbordt, Martin Song, Shuaiwen Leon Barker, Kevin Pacific Northwest Natl Lab Richland WA 99352 USA Boston Univ Boston MA 02215 USA

ISBN: (数字)9781450362290

ISBN: (纸本)9781450362290

Binarized neural networks (or BNNs) promise tremendous performance improvement over traditional DNNs through simplified bit-level computation and significantly reduced memory access/storage cost. In addition, it has advantages of low-cost, low-energy, and high-robustness, showing great potential in resources-constrained, volatile, and latency-critical applications, which are critical for future HPC, cloud, and edge applications. However, the promised significant performance gain of BNN inference has never been fully demonstrated on general-purpose processors, particularly on GPUs, due to: (i) the challenge of extracting and leveraging sufficient fine-grained bit-level-parallelism to saturate GPU cores when the batch size is small;(ii) the fundamental design conflict between bit-based BNN algorithm and word-based architecture;and (iii) architecture & performance unfriendly to BNN network design. To address (i) and (ii), we propose a binarized-soft-tensor-core as a software-hardware c o design approach to construct bit-manipulation capability for modern GPUs and thereby effectively harvest bit-level-parallelism (BLP). To tackle (iii), we propose intra- and inter-layer fusion techniques so that the entire BNN inference execution can be packed into a single GPU kernel, and so avoid the high-cost of frequent launching and releasing. Experiments show that our Singular-Binarized-NeuralNetwork (SBNN) design can achieve over 1000x speedup for raw inference latency over the state-of-the-art full-precision BNN inference for AlexNet on GPUs. Comparisons with CPU, GPU, FPGA and Xeon-Phi demonstrate the effectiveness of our design. SBNN is opensourced and available at https://***/uuudown/SBNIV.

关键词： Costs high performance computing Neural networks Graphics processing units computer architecture performance gain Inference algorithms Kernel Field programmable gate arrays

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Automated construction of high performance distributed programs in LuNA system 1

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15th International conference on Parallel Computing Technologies, PaCT 2019

作者： Akhmed-Zaki, Darkhan Lebedev, Danil Malyshkin, Victor Perepelkin, Vladislav Al-Farabi Kazakh National University Almaty Kazakhstan Institute of Computational Mathematics and Mathematical Geophysics SB RAS Novosibirsk Russia Novosibirsk State University Novosibirsk Russia Novosibirsk State Technical University Novosibirsk Russia

ISBN: (数字)9783030256364

ISBN: (纸本)9783030256357

The paper concerns the problem of efficient distributed execution of fragmented programs in LuNA system, which is a automated parallel programs construction system. In LuNA an application algorithm is represented with a high-level programming language, which makes the representation portable, but also causes the complex problem of automatic construction of an efficient distributed program, which implements the algorithm on given hardware and data. The concept of adding supplementary information (recommendations) is employed to direct the process of program construction based on user knowledge. With this approach the user does not have to program complex distributed logic, while the system makes advantage of the user knowledge to optimize program and its execution. Implementation of this concept within LuNA system is concerned. In particular, a conventional compiler is employed to optimize the generated code. Some performance tests are conducted to compare efficiency of the approach with both previous LuNA release and reference hand-coded MPI implementation performance. © 2019, Springer Nature Switzerland AG.

关键词： Automation

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Technology Model to Support the Initiation of Innovation Artefacts 3rd

Technology Model to Support the Initiation of Innovation Art...

引用

3rd conference on Creativity in Intelligent Technologies and Data Science (CIT&DS)

作者： Dascalu, Maria-Iuliana Lazarou, Elisabeth Constantin, Victor Florin Univ Politehn Bucuresti Dept Engn Foreign Languages Bucharest Romania Univ Politehn Bucuresti Dept Mech & Precis Mech Bucharest Romania

ISBN: (纸本)9783030297435;9783030297428

The current paper proposes a technology model to support the process of creating innovative artefacts, where artefact is any project proposal, business plan, business solution, article with a high degree of innovation. The model is based on an advanced technology stack, in which the central role is played by semantic high-performance computing. Several functionalities are available both for academic researchers and business consultants, from validating the innovation degree of an idea, to supporting its development with useful bibliographical recommendations or building research proposals based on that idea.

关键词： Innovative artefact Semantic search high-performance computing Technological model

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FOV direction and image size calibration of Fluorescence Detector using light source on UAV 37

FOV direction and image size calibration of Fluorescence Det...

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37th International Cosmic Ray conference, ICRC 2021

作者： Nakazawa, Arata Tomida, Takayuki Sano, Kengo Tameda, Yuichiro Oku, Yuya Ikeda, Daisuke Abbasi, R.U. Abu-Zayyad, T. Allen, M. Arai, Y. Arimura, R. Barcikowski, E. Belz, J.W. Bergman, D.R. Blake, S.A. Buckland, I. Cady, R. Cheon, B.G. Chiba, J. Chikawa, M. Fujii, T. Fujisue, K. Fujita, K. Fujiwara, R. Fukushima, M. Fukushima, R. Furlich, G. Gonzalez, R. Hanlon, W. Hayashi, M. Hayashida, N. Hibino, K. Higuchi, R. Honda, K. Inadomi, T. Inoue, N. Ishii, T. Ito, H. Ivanov, D. Iwakura, H. Iwasaki, A. Jeong, H.M. Jeong, S. Jui, C.C.H. Kadota, K. Kakimoto, F. Kalashev, O. Kasahara, K. Kasami, S. Kawai, H. Kawakami, S. Kawana, S. Kawata, K. Kharuk, I. Kido, E. Kim, H.B. Kim, J.H. Kim, J.H. Kim, M.H. Kim, S.W. Kimura, Y. Kishigami, S. Kubota, Y. Kurisu, S. Kuzmin, V. Kuznetsov, M. Kwon, Y.J. Lee, K.H. Lubsandorzhiev, B. Lundquist, J.P. Machida, K. Matsumiya, H. Matsuyama, T. Matthews, J.N. Mayta, R. Minamino, M. Mukai, K. Myers, I. Nagataki, S. Nakai, K. Nakamura, R. Nakamura, T. Nakamura, T. Nakamura, Y. Nishio, E. Nonaka, T. Oda, H. Ogio, S. Ohnishi, M. Ohoka, H. Okuda, T. Omura, Y. Ono, M. Onogi, R. Oshima, A. Ozawa, S. Park, I.H. Potts, M. Pshirkov, M.S. Remington, J. Rodriguez, D.C. Rubtsov, G.I. Ryu, D. Sagawa, H. Sahara, R. Saito, Y. Sakaki, N. Sako, T. Sakurai, N. Sato, K. Seki, T. Sekino, K. Shah, P.D. Shibasaki, Y. Shibata, F. Shibata, N. Shibata, T. Shimodaira, H. Shin, B.K. Shin, H.S. Shinto, D. Smith, J.D. Sokolsky, P. Sone, N. Stokes, B.T. Stroman, T.A. Takagi, Y. Takahashi, Y. Takamura, M. Takeda, M. Takeishi, R. Taketa, A. Takita, M. Tanaka, H. Tanaka, K. Tanaka, M. Tanoue, Y. Thomas, S.B. Thomson, G.B. Tinyakov, P. Tkachev, I. Tokuno, H. Troitsky, S. Tsuda, R. Tsunesada, Y. Uchihori, Y. Udo, S. Uehama, T. Urban, F. Wong, T. Yada, K. Yamamoto, M. Yamazaki, K. Yang, J. Yashiro, K. Yoshida, F. Yoshioka, Y. Zhezher, Y. Zundel, Z. Department of Physics Loyola University Chicago ChicagoIL United States High Energy Astrophysics Institute Department of Physics and Astronomy University of Utah Salt Lake CityUT United States Graduate School of Science Osaka City University Osaka Osaka Japan Department of Physics The Research Institute of Natural Science Hanyang University Seongdong-gu Seoul Korea Republic of Department of Physics Tokyo University of Science Chiba Noda Japan Institute for Cosmic Ray Research University of Tokyo Chiba Kashiwa Japan The Hakubi Center for Advanced Research Graduate School of Science Kyoto University Kitashirakawa-Oiwakecho Sakyo-ku Kyoto Japan Information Engineering Graduate School of Science and Technology Shinshu University Nagano Nagano Japan Faculty of Engineering Kanagawa University Kanagawa Yokohama Japan Interdisciplinary Graduate School of Medicine and Engineering University of Yamanashi Yamanashi Kofu Japan Academic Assembly School of Science and Technology Institute of Engineering Shinshu University Nagano Nagano Japan The Graduate School of Science and Engineering Saitama University Saitama Saitama Japan Astrophysical Big Bang Laboratory RIKEN Saitama Wako Japan Department of Physics SungKyunKwan University Jang-an-gu Suwon Korea Republic of Department of Physics Tokyo City University Setagaya-ku Tokyo Japan Institute for Nuclear Research The Russian Academy of Sciences Moscow Russia Faculty of Systems Engineering and Science Shibaura Institute of Technology Minato-ku Tokyo Japan Department of Engineering Science Faculty of Engineering Osaka Electro-Communication University Neyagawa-shi Osaka Japan Department of Physics Chiba University Chiba Chiba Japan Service de Physique Thacuteeorique Universitacutee Libre de Bruxelles Brussels Belgium Department of Physics Yonsei University Seodaemun-gu Seoul Korea Republic of Center for Astrophysics and Cosmology University of Nova Gorica Nova Gorica Slovenia Faculty of S

In the Telescope Array (TA) experiment, we have been observing cosmic rays using a Fluorescence Detector (FD). More than 10 years have passed since we started this observation, and the accuracy of the observation has become more important than ever. We have developed the "Opt-copter" as a calibration device for the FDs. The Opt-copter is an unmanned aerial vehicle (UAV) equipped with a light source and can fly freely within the FD's field of view (FOV). In addition, the Opt-copter is equipped with a high-precision RTK-GPS, which enables it to accurately determine the position of the light source in flight. With this device, we can obtain detailed information on the optical properties of the FDs. So far, we have reported on the configuration of the device and the analysis of the FOV direction. In this presentation, we will report on the new FOV analysis and image size analysis. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0)

关键词： Calibration

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Effect of parallel processing by duplicating histogram in automatic image binarization for high-level synthesis 20

Effect of parallel processing by duplicating histogram in au...

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20th International conference on Parallel and Distributed Computing, Applications and Technologies, PDCAT 2019

作者： Yamasaki, Moena Yamawaki, Akira Department of Electrical Engineering and Electronics Kyushu Institute of Technology Kitakyushu Japan

ISBN: (数字)9781728126166

ISBN: (纸本)9781728126166

The high-level synthesis converting software to hardware automatically is one of the important technologies for significantly reducing the burden caused by developing hardware module. The embedded image processing products need the HLS to quickly implement a hardware module achieving high-performance with low-power consumption instead of software implementation for high-computational processing. However, the HLS tool cannot generate a hardware module with high-performance and low-power consumption expected when the software program without deep consideration about the hardware organization to be generated is input. This paper shows a software description method to extract some parallelisms by duplicating the histograms in the automatic image binarization which is called as Otsu's method in order to improve a performance of the hardware module HLS generates. The experimental results show the effect of our description method about the performance and the amount of hardware. We also discuss about a trade-off among the parallelism, performance and amount of hardware. © 2019 IEEE.

关键词： Economic and social effects

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Collaborative filtering recommendation algorithm based on improved denoising auto encoder

Collaborative filtering recommendation algorithm based on im...

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Information Technology and computer Application (ITCA), International conference on

作者： Zhaoming Tian Huiyong Liu School of Computer Science (National Pilot Software Engineering School) Beijing University of Posts and Telecommunications Beijing China

Aiming at the problems of sparse scoring matrix and low recommendation accuracy of traditional collaborative filtering algorithms, this paper proposes a collaborative filtering recommendation algorithm based on improved denoising auto encoder. First of all, this topic adds a balance matrix to the encoding and decoding process of the denoising auto encoder to compress the high-dimensional and sparse user behavior vector into a low-dimensional and dense user feature vector. Then, the user similarity is calculated in the process, celebrity factors are considered to obtain user similarity based on celebrity effect. Finally, a program recommendation list is generated based on the final user similarity. Experimental results show that the algorithm enhances the performance of scoring prediction, and improves the accuracy and recall rate of recommendation results.

关键词： Collaborative filtering Noise reduction computer applications Filtering algorithms Prediction algorithms Information filters Encoding

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Application-grained block I/O analysis for edge computational intelligent 21

Application-grained block I/O analysis for edge computationa...

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21st IEEE International conference on high performance Computing and Communications, 17th IEEE International conference on Smart City and 5th IEEE International conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Wan, Fangqi Han, Guangjie Jia, Gangyong Wan, Jian Jiang, Congfeng Department of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Department of Information and Communication Systems Hohai University Changzhou China Department of Computer Science and Technology Zhejiang University of Science and Technology Hangzhou China

ISBN: (纸本)9781728120584

Block I/O workload is widely used in studies on storage performance. However, few studies have focused on the workload characteristics of edge intelligent computing. A discrepancy exists between the workload and the storage, resulting in performance loss. Most studies have focused on the overall block I/O workload characteristics or the performance of the storage;however, a fine-grained analysis is required to understand the workload more comprehensively. In this paper, we propose the concept of an application-grained block I/O analysis for edge computational intelligent. Firstly describe the five steps of the application-grained block I/O analysis, i.e., trace collection, application isolation, application weighting, application trace analysis, and results. Subsequently, discuss the key points of the application-grained block I/O analysis. An application-grained block I/O analysis is performed using five off-the-shelf trace analysis tools and four evaluation parameters. © 2019 IEEE.

关键词： Trace analysis

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Influence of spacer insulator material temperature characteristics on its mechanical properties

Influence of spacer insulator material temperature character...

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2019 IEEE Sustainable Power and Energy conference, iSPEC 2019

作者： Wu, Yuyi Chen, Yun Cui, Boyuan Wang, Chengyu Liu, Yan Yang, Yong China Electric Power Research Institute Beijing China Shangdong Taikai High-volt Switchgear Co.Ltd Tai'an China

ISBN: (纸本)9781728149301

Spacer insulator is an important component of gas insulated switchgear (GIS), and the performance degradation of spacer insulator will seriously affect the operation of GIS. In this paper, the temperature characteristic of spacer insulator's material is tested and the temperature distribution of spacer insulator under operating condition is also measured. The electro-thermal and thermo-mechanical coupling formulation are presented respectively and finite element software is applied in simulation. The effect of multi-physics coupling on the performance of spacer insulator is analyzed. Results show that under the operating condition, the heat generated by current flow in central conductor may cause the temperature on spacer insulator to present a gradient distribution, resulting in the degradation of material performance;electric-thermal coupling effect may cause spacer insulator overheating and heat breakdown;and thermo-mechanical coupling effect may increase the probability of spacer insulator fracture. This paper can provide reference for fault analysis of spacer insulator. © 2019 IEEE.

关键词： Temperature distribution

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