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International Conference on High Performance computing & Simulation (HPCS)

作者： Ji-Hoon Kang Oh-Kyoung Kwon Hoon Ryu Jinwoo Jeong Kyunghun Lim Intel Parallel Computing Center Korea Institute of Science and Technology Information Republic of Korea Research Center Moasys Corporation Republic of Korea

ISBN: (纸本)9781538678800

Korea Institute of science and technology Information (KISTI) is building its 5th supercomputer based on intel Xeon Phi Knights Landing (KNL) processors, and plans to provide an open service to computational scientists in the near future. We perform solid benchmark tests for several well-known open/commercial application softwares in a 16 node pilot system for a preliminary performance evaluation of KNL systems. Based on their results, we present detailed discussion with a focus on the performance gain that can be obtained with unique features in KNL processors. Performance of application software measured in our KNL pilot system is compared to that obtained in the current supercomputer based on traditional multicore processors, to claim the practical benefits of intel onboard Many-Integrated- Core architectures for large-scale scientific computing.

关键词： Benchmark testing Program processors Bandwidth Supercomputers Application software Random access memory Computational modeling

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A survey of refactoring detection techniques based on change history analysis

arXiv

引用

arXiv 2018年

作者： Choi, Eunjong Fujiwara, Kenji Yoshida, Norihiro Hayashi, Shinpei Graduate School of Science and Technology Nara Institute of Science and Technology Japan National Institute of Technology Toyota College Japan Center for Embedded Computing Systems Graduate School of Informatics Nagoya University Japan School of Computing Tokyo Institute of Technology Japan

Refactoring is the process of changing a software system in such a way that it does not alter the external behavior of the code yet improves its internal structure. Not only researchers, but also practitioners, need to know about past refactoring instances performed in a software development project. So far, a number of techniques have been proposed for automatic detection of refactoring instances. Those techniques have been presented in various international conferences and journals, however, it is difficult for researchers and practitioners to grasp the current status of studies on refactoring detection techniques. In this survey paper, we review various refactoring detection techniques, especially techniques based on change history analysis. Copyright © 2018, The Authors. All rights reserved.

关键词： Surveys

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Proposal of IoT based learning material and its management system for primary/secondary education 3

Proposal of IoT based learning material and its management s...

引用

3rd International Conference on Digital technology in Education, ICDTE 2019

作者： Todoriki, Takafumi Kayama, Mizue Tachi, Nobuyuki Nagai, Takashi Futagami, Takao Asuke, Takehiko Graduate School of Science and Technology Shinshu University Wakasato 4-17-1 Nagano Nagano380-0928 Japan Shinshu University Faculty of Engineering Wakasato 4-17-1 Nagano Nagano380-0928 Japan Nagoya University Center for Embedded Computing Systems Furotyou NIC508 Nagoya Aichi464-8601 Japan Institute of Technologists Department of Mechanical and Production Engineering Maeya 333 Gyoda Saitama361-0038 Japan TOYO Corporation Yaesu 1-1-6 Chuo-ku Tokyo103-8284 Japan Ina City Takato Junior Highschool Takato Machi Higashi Takato 232 Ina Nagano396-0213 Japan

ISBN: (纸本)9781450372206

The purpose of this study was lesson support by building a system which IoT based learning material and using it. This system is assumed to use the regular curriculum of primary and secondary education in Japan. We previously examined that apply IoT technology to learning material. That learning material use when experiment with a measurement. And, we designed its management system. Here we describe the outline of IoT based learning material and its management system. And we report about concrete IoT based learning material. © 2019 Copyright is held by the owner/author(s). Publication rights licensed to ACM.

关键词： Learning systems

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A Multi-label Classifier for Human Protein Subcellular Localization Based on LSTM Networks

A Multi-label Classifier for Human Protein Subcellular Local...

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2018 International Conference on Advanced Control, Automation and Artificial intelligence (ACAAI2018)

作者： Zhiying Gao Lijun Sun Zhihua Wei Department of Computer Science and Technology Tongji University Research Center of Big Data and Network Security Tongji University Key Laboratory of Embedded System and Service Computing Tongji University

Nowadays, with the increasing number of protein sequences all over the world, more and more people are paying their attention to predicting protein subcellular location. Since wet experiment is costly and time-consuming, the automatic computational methods are urgent. In this paper, we propose a variant model based on Long Short-Term Memory(LSTM) to predict protein subcellular location. In this model, we employ LSTM to capture long distance dependency features of the sequence data. Moreover, we adjust the loss function of the loss layer to solve multi-label classification problem. Experimental results demonstrate that, compared with the traditional machine learning methods, our method achieves the best performance in various evaluation metrics.

关键词： LSTM multi-label classification protein subcellular localization

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Frame-based behavior preservation in refactoring 24

Frame-based behavior preservation in refactoring

引用

24th IEEE International Conference on Software Analysis, Evolution, and Reengineering, SANER 2017

作者： Maruyama, Katsuhisa Hayashi, Shinpei Yoshida, Norihiro Choi, Eunjong Department of Computer Science Ritsumeikan University Japan Department of Computer Science Tokyo Institute of Technology Japan Center for Embedded Computing Systems Nagoya University Japan Graduate School of Information Science Nara Institute of Science and Technology Japan

ISBN: (纸本)9781509055012

Behavior preservation often bothers programmers in refactoring. This poster paper proposes a new approach that tames the behavior preservation by introducing the concept of a frame. A frame in refactoring defines stakeholder's individual concerns about the refactored code. Frame-based refactoring preserves the observable behavior within a particular frame. Therefore, it helps programmers distinguish the behavioral changes that they should observe from those that they can ignore. © 2017 IEEE.

关键词： Libraries Registers Computer science Testing Stakeholders embedded computing Information science

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An Improved Convolutional Neural Network Algorithm for Multi-Label Classification

An Improved Convolutional Neural Network Algorithm for Multi...

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International Conference on Audio, Language and Image Processing, ICALIP

作者： Xinsheng Wang Lijun Sun Zhihua Wei Department of Computer Science and Technology Tongji University Shanghai China Research Center of Big Data and Network Security Tongji University Shanghai China Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China

Recent years conventional neural network(CNN) has been applied to different natural language processing(NLP) tasks such as sentence classification, sentence modeling, etc. Some researchers use CNN to do multi-label classification but their work mainly focus on image rather than text. In this paper, we propose an improved CNN via hierarchical dirichlet process(HDP) model to deal with the multi-label classification problem in NLP. We first apply an HDP model to discard some words which are less important semantically. Then we use word embedding methods to transform words to vectors. Finally, we train CNN based on word vectors. Experimental results demonstrate that our method is superior to most traditional multi-label classification methods and TextCNN in terms of performance.

关键词： Feature extraction Training Convolutional neural networks Natural language processing Vocabulary Transforms

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Spatial sparse subspace clustering for compressive spectral imaging

arXiv

引用

arXiv 2019年

作者： Zhu, Jianchen Zhang, Tong Zhao, Shengjie Hinojosa, Carlos Liu, Zengli Arce, Gonzalo R. Key Laboratory of Embedded System and Service Computing Ministry of Education School of Software Engineering Tongji University Shanghai201804 China School of Electronic and Information Engineering Tongji University Shanghai201804 China Department of System Engineering and Informatics Universidad Industrial de Santander Bucaramanga680002 Colombia Institute of information engineering and automation Computer Center Kunming University of Science and Technology Kunming650500 China Department of Electrical and Computer Engineering University of Delaware NewarkDE19716 United States

This paper aims at developing a clustering approach with spectral images directly from CASSI compressive measurements. The proposed clustering method first assumes that compressed measurements lie in the union of multiple low-dimensional subspaces. Therefore, sparse subspace clustering (SSC) is an unsupervised method that assigns compressed measurements to their respective subspaces. In addition, a 3D spatial regularizer is added into the SSC problem, thus taking full advantages of the spatial information contained in spectral images. The performance of the proposed spectral image clustering approach is improved by taking optimal CASSI measurements obtained when optimal coded apertures are used in CASSI system. Simulation with one real dataset illustrates the accuracy of the proposed spectral image clustering approach. Copyright © 2019, The Authors. All rights reserved.

关键词： Spectroscopy

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CP2K: An electronic structure and molecular dynamics software package quickstep: Efficient and accurate electronic structure calculations

arXiv

引用

arXiv 2020年

作者： Kühne, Thomas D. Iannuzzi, Marcella Ben, Mauro Del Rybkin, Vladimir V. Seewald, Patrick Stein, Frederick Laino, Teodoro Khaliullin, Rustam Z. Schütt, Ole Schiffmann, Florian Golze, Dorothea Wilhelm, Jan Chulkov, Sergey Bani-Hashemian, Mohammad Hossein Weber, Valéry Borštnik, Urban Taillefumier, Mathieu Jakobovits, Alice Shoshana Lazzaro, Alfio Pabst, Hans Müller, Tiziano Schade, Robert Guidon, Manuel Andermatt, Samuel Holmberg, Nico Schenter, Gregory K. Hehn, Anna Bussy, Augustin Belleflamme, Fabian Tabacchi, Gloria Glöß, Andreas Lass, Michael Bethune, Iain Mundy, Christopher J. Plessl, Christian Watkins, Matt VandeVondele, Joost Krack, Matthias Hutter, Jürg Dynamics of Condensed Matter and Center for Sustainable Systems Design Chair of Theoretical Chemistry Paderborn University Warburger Str. 100 PaderbornD-33098 Germany Department of Chemistry University of Zurich Winterthurerstrasse 190 ZürichCH-8057 Switzerland Computational Research Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States IBM Research - Zurich Säumerstrasse 4 RüschlikonCH-8803 Switzerland Department of Chemistry McGill University CH-801 Sherbrooke St. West MontrealQCH3A 0B8 Canada Department of Materials ETH Zürich ZürichCH-8092 Switzerland Centre of Policy Studies Victoria University Melbourne Australia Department of Applied Physics Aalto University Otakaari 1 EspooFI-02150 Finland Institute of Theoretical Physics University of Regensburg Universitätsstraße 31 RegensburgD-93053 Germany School of Mathematics and Physics University of Lincoln Brayford Pool Lincoln United Kingdom Integrated Systems Laboratory ETH Zürich ZürichCH-8092 Switzerland Scientific IT Services ETH Zürich Zürich Switzerland ETH Zürich HPE Switzerland GmbH Basel Switzerland Intel Extreme Computing Software and Systems Zürich Switzerland Department of Computer Science and Paderborn Center for Parallel Computing Paderborn University Warburger Str. 100 PaderbornD-33098 Germany Department of Chemistry and Materials Science Aalto University P.O. Box 16100 Aalto00076 Finland Physical Science Division Pacific Northwest National Laboratory P. O. Box 999 RichlandWA99352 United States Department of Science and High Technology University of Insubria INSTM via Valleggio 9 ComoI-22100 Italy BASF SE Carl-Bosch-Straße 38 Ludwigshafen am RheinD-67056 Germany Hartree Centre Science and Technology Facilities Council United Kingdom Laboratory for Scientific Computing and Modelling Paul Scherrer Institute Villigen PSICH-5232 Switzerland

CP2K is an open source electronic structure and molecular dynamics software package to perform atomistic simulations of solid-state, liquid, molecular and biological systems. It is especially aimed at massively-parallel and linear-scaling electronic structure methods and state-of-the-art ab-initio molecular dynamics simulations. Excellent performance for electronic structure calculations is achieved using novel algorithms implemented for modern high-performance computing systems. This review revisits the main capabilities of CP2K to perform efficient and accurate electronic structure simulations. The emphasis is put on density functional theory and multiple post-Hartree-Fock methods using the Gaussian and plane wave approach and its augmented all-electron extension. Copyright © 2020, The Authors. All rights reserved.

关键词： Electronic structure

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MEC 2017: Multimodal Emotion Recognition Challenge

MEC 2017: Multimodal Emotion Recognition Challenge

引用

Asian Conference on Affective computing and intelligent Interaction (ACII Asia)

作者： Ya Li Jianhua Tao Björn Schuller Shiguang Shan Dongmei Jiang Jia Jia National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China National Laboratory of Pattern Recognition CAS Center for Excellence in Brain Science and Intelligence Technology Institute of Automation Chinese Academy of Sciences School of Artificial Intelligence University of Chinese Academy of Science Beijing China ZD.B Chair of Embedded Intelligence for Health Care and Wellbeing University of Augsburg Germany Institute of Computing Technology Chinese Academy of Sciences Beijing China Northwestern Polytechnical University Xi’an China Tsinghua University Beijing China

This paper introduces baselines for the Multimodal Emotion Recognition Challenge (MEC) 2017, which is a part of the first Asian Conference on Affective computing and intelligent Interaction (ACII Asia) 2018. The aim of MEC 2017 is to improve the performance of emotion recognition in real-world conditions. The Chinese Natural Audio-Visual Emotion Database (CHEAVD) 2.0 is utilized as the challenge database, which is an extension of CHEAVD as released in MEC 2016. MEC 2017 has three sub-challenges and 31 teams participate in either all or part of them. 27 teams, 16 teams and 17 teams participate in audio (only), video (only) and multimodal emotion recognition sub-challenges, respectively. Baseline scores of the audio (only) and the video (only) sub-challenges are generated from Support Vector Machines (SVM) where audio features and video features are considered separately. In the multimodal sub-challenge, feature-level fusion and decision-level fusion are both utilized. The baselines of the audio (only), the video (only) and the multimodal sub-challenges are 39.2%, 21.7% and 35.7% in macro average precision.

关键词： Emotion recognition Feature extraction Databases Testing Support vector machines Visualization Task analysis

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VFlash: Virtualized Flash for Optimizing the I/O Performance in Mobile Devices

VFlash: Virtualized Flash for Optimizing the I/O Performance...

引用

作者： Chen, Renhai Wang, Yi Hu, Jingtong Liu, Duo Shao, Zili Guan, Yong Beijing Advanced Innovation Center for Imaging Technology Beijing100048 China College of Information Engineering Capital Normal University Beijing China College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China School of Electrical and Computer Engineering Oklahoma State University StillwaterOK74074 United States College of Computer Science Chongqing University Chongqing400044 China Embedded Systems and CPS Laboratory Department of Computing Hong Kong Polytechnic University Hong Kong

I/O is becoming one of major performance bottlenecks in NAND-flash-based mobile devices. Novel nonvolatile memories (NVMs), such as phase change memory and spin-transfer torque random access memory, can provide fast read/write operations. In this paper, we propose a unified NVM/flash architecture to improve the I/O performance. A transparent scheme, virtualized flash (vFlash), is also proposed to manage the unified architecture. Within vFlash, interapp and intra-app techniques are proposed to optimize the application performance by exploiting the historical locality and I/O access patterns of applications. Since vFlash is on the bottom of the I/O stack, the application features will be lost. Therefore, we also propose a cross-layer technique to transfer the application information from the application layer to the vFlash layer. The proposed scheme is evaluated based on an Android platform, and the experimental results show that the proposed scheme can effectively improve the I/O performance of mobile devices. © 1982-2012 IEEE.

关键词： Phase change memory

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