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20th Annual ACM symposium on Applied Computing

作者： Cui, Chunhua Kitagawa, Hiroyuki Master's Program in Science and Engineering University of Tsukuba Graduate School of Systems and Information Engineering Center for Computational Sciences University of Tsukuba

ISBN: (纸本)9781581139648

With the advance of network technology in recent years, the dissemination and exchange of massive documents has become commonplace. Accordingly, the importance of content analysis techniques is increasing. Topic analysis in large-scale document streams such as E-mails and news articles is an important research issue. This paper addresses techniques for "topic activation analysis" for document streams. For example, when news articles with a strong relationship to a given topic arrive frequently in a news stream, we can regard the activation level of the topic as high. In [I], Kleinberg proposed a method for analyzing document streams. Although the main objective of his method was to detect bursts of topics, it can also be used for topic activation analysis. His method, however, has a serious limitation in that it only looks at the arrival rate of documents and ignores the degree of relevance for each document. Another limitation is that his method is "batch-oriented." This paper first proposes a novel topic activation analysis scheme that incorporates both document arrival rate and relevance to address the first problem. It then presents an incremental scheme more appropriate for a document streaming environment. The proposed schemes are validated by experiments using real CNN news articles. Copyright 2005 ACM.

关键词： Computer networks

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High Resolution of City-Level Climate simulation by GPU with Multi-physical Phenomena 18th

High Resolution of City-Level Climate Simulation by GPU with...

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18th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2021

作者： Watanabe, Koei Kikuchi, Kohei Boku, Taisuke sato, Takuto Kusaka, Hiroyuki Master’s Program in Computer Science Graduate School of Systems and Information Engineering University of Tsukuba Tsukubashi Japan Center for Computational Sciences University of Tsukuba Tsukubashi Tennodi Japan

ISBN: (纸本)9783030935702

In this paper, we describe the Graphics Processing Unit (GPU) implementation of our City-LEs code on detailed large eddy simulations, including the multi-physical phenomena on fluid dynamics, heat absorption and reflection by surface and building materials, cloud effects, and even sunlight effect. Because a detailed simulation involving these phenomena is required for analyses at the street level and several meters of resolution, the computation amount is enormous, and ordinary CPU computation cannot provide sufficient performance. Therefore, we implemented the entire code on GPU clusters with large-scale computing. We applied OpenACC coding to incrementally implement relatively easy programming and eliminate data transfers between the CPU and GPU memories. Based on this research, we determined that the elimination of data transfers is effective, even in the case where a part of the code execution on the GPU is slower than the CPU, owing to the absence of spatial parallelism. The objective of this study is to perform a complete climate simulation on a few square-kilometers field around the Tokyo station, considering the finest resolution of the original highlighted area of the Marathon race in the Olympic Games Tokyo 2020. We successfully transferred the entire code to the GPU to provide approximately eight times the performance of CPU-only computation on multi-GPU per node with a large scale cluster. © 2022, IFIP International Federation for Information Processing.

关键词： Graphics processing unit

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Implementation and Performance Evaluation of Collective Communications Using CIRCUs on Multiple FPGAs

Implementation and Performance Evaluation of Collective Comm...

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2023 International Conference on High Performance Computing in Asia-Pacific Region Workshops, HPC Asia 2023

作者： Kikuchi, Kohei Fujita, Norihisa Kobayashi, Ryohei Boku, Taisuke Master's Program in Computer Science Degree Programs in Systems and Information Engineering Graduate School of Science and Technology University of Tsukuba Tsukuba Japan Center for Computational Sciences University of Tsukuba Tsukuba Japan

ISBN: (纸本)9781450399890

In the high-performance computing domain, Field programmable Gate Array (FPGA) is a novel accelerator that exhibits high flexibility and performance characteristics distinct from other accelerators such as the Graphics Processing Unit (GPU). Recent advanced high-end FPGA is equipped with multiple channels of high speed optical link up to 100Gbps performance for each. This is a crucial feature when we construct PC clusters with FPGAs as accelerators, however it is not easy to utilize from user kernels because this feature is implemented in low level and simple direct communication between neighboring FPGAs. In order to provide the communication feature between FPGAs for accelerated PC clusters, we developed a communication system named CIRCUs which implies a user-friendly API from OpenCL and is equipped with routing function over multi-hop communication on multi-dimensional torus network of FPGAs. However, current CIRCUs only provides a point-to-point communication between source and destination FPGAs. In ordinary parallel processing environment such as MPI, the user program the message passing with various collective communication functions for parallel algorithm, for instance Allreduce, Allgather, etc. In this paper, we implement the collective communication function over CIRCUs for user-friendly programming of ordinary parallel algorithms on FPGAs. As the first target, we implement Allreduce function which is the most essential and important function. The paper describes the CIRCUs system briefly followed by the design, implementation and preliminary performance evaluation on Intel stratix10 FPGAs. © 2023 ACM.

关键词： Field programmable gate arrays (FPGA)

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Novelty-based incremental document clustering for on-line documents 22

Novelty-based incremental document clustering for on-line do...

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22nd International Conference on Data Engineering Workshops, ICDEW 2006

作者： Khy, sophoin Ishikawa, Yoshiharu Kitagawa, Hiroyuki Master's Program in Science and Engineering Tsukuba Ibaraki Japan Graduate School of Systems and Information Engineering Tsukuba Ibaraki Japan Center for Computational Sciences University of Tsukuba Tsukuba Ibaraki Japan

ISBN: (纸本)0769525717

Document clustering has been used as a core technique in managing vast amount of data and providing needed information. In on-line environments, generally new information gains more interests than old one. Traditional clustering focuses on grouping similar documents into clusters by treating each document with equal weight. We proposed a novelty-based incremental clustering method for on-line documents that has biases on recent documents. In the clustering method, the notion of 'novelty' is incorporated into a similarity function and a clustering method, a variant of the K-means method, is proposed. We examine the efficiency and behaviors of the method by experiments. © 2006 IEEE.

关键词： Cluster analysis

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A Player Position Tracking Method Based on a Wide-Area Pan-Tilt-Zoom Video 12

A Player Position Tracking Method Based on a Wide-Area Pan-T...

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Proceedings of the 12th International Conference on sport sciences Research and Technology support, icsPORTs 2024

作者： Yamagishi, shunzo Xie, Chun shishido, Hidehiko Kitahara, Itaru Master's and Doctoral Program in Intelligent Mechanical Interaction Systems University of Tsukuba Ibaraki Japan Center for Computational Sciences University of Tsukuba Ibaraki Japan Faculty of Science and Engineering Department of Information Systems Engineering Soka University Tokyo Japan

ISBN: (纸本)9789897587191

This paper proposes a method to estimate the posture of an athlete moving on a vast field in a sporting event using a pan-tilt-zoom camera. In order to estimate the posture of an athlete on a sports field from a dynamic video sequence, our method extracts image features to search correspondence points among successive frames and computes the homography transformation matrix that compensates for changes the camera parameters (e.g., angle of view and posture). The effectiveness of this method is qualitatively verified using MLB TV broadcast video. The accuracy and error factors are also quantitatively verified by CG simulation. Copyright © 2024 by sCITEPREss - science and Technology Publications, Lda.

关键词： Pan-Tilt-Zoom Camera Player Tracking sports Analytics Video Processing Wide-Area

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EEG analysis for surprise in VR traffic environment 15

EEG analysis for surprise in VR traffic environment

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15th Asia-Pacific Workshop on Mixed and Augmented Reality, APMAR 2023

作者： Tayama, Yuto Kameda, Yoshinari Master’s program in Intelligent and Mechanical Interacion Systems University of tsukuba 1-1-1 Tennoudai Ibaraki Tsukuba305-8573 Japan Center for Computational Science University of Tsukuba 1-1-1 Tennoudai Ibaraki Tsukuba305-8573 Japan

On the assessment of user experience in VR traffic environments, a method to evaluate the mental state of subjects is required to measure the effects of dynamic events in the traffic environments. EEG is one of the promising devices for measuring the subject mental status. We propose to analyze EEG responses against traffic scenes, including traffic accidents, for the evaluation of the surprise feelings of subjects in VR traffic environments by a set of HMD and an EEG device. Throughout the experiments, we examined whether EEG can evaluate subjects’ emotional states in response to the events in VR space. Three traffic scenes and 10 subjects were prepared for the experiment. The EEG analysis was made on beta frequency band power related to surprise response. © 2023 Copyright for this paper by its authors.

关键词： Accidents

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Using sYCLomatic to Migrate CUDA Code to oneAPI Adapting NVIDIA GPU

Using SYCLomatic to Migrate CUDA Code to oneAPI Adapting NVI...

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IEEE International Conference on Cluster Computing Workshops and Posters (CLUsTER WORKsHOPs)

作者： Wentao Liang Norihisa Fujita Ryohei Kobayashi Taisuke Boku Master's Program in Computer Science Degree Program in Systems and Information Engineering Graduate School of Science and Technology University of Tsukuba Center for Computational Sciences University of Tsukuba

ISBN: (数字)9798350383454

ISBN: (纸本)9798350383461

Nowadays, the use of accelerators in high performance computing has become more common than ever before. The most used accelerators must be the Graphics Processing Unit (GPU). It has emerged as an important component in most of the parallel computing scenarios, surpassing the capabilities of the traditional Central Processing Unit (CPU) in perspective of both performance and energy efficiency.

关键词： Codes Conferences High performance computing Graphics processing units Cluster computing Parallel processing Energy efficiency Central Processing Unit

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Preliminary Evaluation of Kyokko for Inter-FPGA Communication Framework CIRCUs

Preliminary Evaluation of Kyokko for Inter-FPGA Communicatio...

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IEEE International Conference on Cluster Computing Workshops and Posters (CLUsTER WORKsHOPs)

作者： Kaito Kitazume Norihisa Fujita Ryohei Kobayashi Taisuke Boku Master's Program in Computer Science Degree Programs in Systems and Information Engineering Graduate School of Science and Technology University of Tsukuba Center for Computational Sciences University of Tsukuba

In recent years, Field-programmable Gate Arrays (FPGAs) are gaining attention as computational acceleration devices in the field of high-performance computing. By implementing specialized circuits that can be customiz... 详细信息

ISBN: (数字)9798350383454

ISBN: (纸本)9798350383461

关键词： Conferences High performance computing Circuits Cluster computing Low latency communication Field programmable gate arrays

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Predicting Potential Fires in Indonesia by Analyzing VIIRs Night Data during 2018 – 2022

Predicting Potential Fires in Indonesia by Analyzing VIIRS N...

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International symposium on Grids and Clouds 2023 in conjunction with HEPiX spring Workshop, IsGC and HEPiX 2023

作者： suhardiman, Basuki Hermanto, Benni Rio Directorate of Information Technology Institut Teknologi Bandung Jl Ganesha 10 Bandung Indonesia Master’s Program in Computational Science Faculty of Mathematics and Natural Sciences Institut Teknologi Bandung Jl Ganesha 10 Bandung Indonesia Biomedical Engineering Department School of Electrical Engineering and Informatics Institut Teknologi Bandung Indonesia

Forest fires have been detected to occur in Indonesia since 1998. The forest fires mostly resulted from human activities in order to expand their land, especially oil palm lands. Once a land clearing is carried out, it covers areas of tens to hundreds of thousands of hectares. The peak of the forest fires occurred in 2015 when almost half of the world was affected especially by smoke from the fire. In 2011, VIIRs (Visible Infrared Imaging Radiometer suite) was launched by NOAA (National Oceanic and Atmospheric Administration). In their collected data, there is data on Indonesia issued daily for areas in the islands of Java, sumatra, Kalimantan, sulawesi, and the general areas of Indonesia. The VIIRs night data shows the possibility of some burning at night. We need to identify burnings that potentially become fires, which are potentially producing smoke. It is important to observe areas where large-scale forest fires frequently occur, so the authority could do some prevention beforehand. Using existing data released per day per area, we utilize an ANN (Artificial Neural Network) to identify a potential fire. The processes start with data cleaning and processing, Neural Network creation, and finally ANN training and testing. By using the ANN prediction model with the MinMax scaler, we choose variables Temperature, Radiant Heat Intensity, and source Footprint. simulations are made to show the ranges of these variables that predict the possibility of’flame’ status occurring. We conclude that the ANN method can give more accurate results than the existing classification. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Fires

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Efficient and scalable calculation of complex band structure using sakurai-sugiura method

arXiv

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arXiv 2017年

作者： Iwase, shigeru Futamura, Yasunori Imakura, Akira sakurai, Tetsuya Ono, Tomoya Department of Physics University of Tsukuba Tsukuba Ibaraki305-8571 Master’s/Doctoral Program in Life Science Innovation University of Tsukuba Department of Computer Science University of Tsukuba Tsukuba Ibaraki305-8573 Department of Computer Science University of Tsukuba Tsukuba Ibaraki305-8573 Department of Computer Science University of Tsukuba Tsukuba Ibaraki 305-8573 CREST Japan Science and Technology Agency Kawaguchi Saitama332-0012 Department of Physics University of Tsukuba Tsukuba Ibaraki 305-8571 Center for Computational Sciences University of Tsukuba Tsukuba Ibaraki305-8577

Complex band structures (CBss) are useful to characterize the static and dynamical electronic properties of materials. Despite the intensive developments, the first-principles calculation of CBs for over several hundred atoms is still computationally demanding. We here propose an efficient and scalable computational method to calculate CBss. The basic idea is to express the Kohn-sham equation of the real-space grid scheme as a quadratic eigenvalue problem and compute only the solutions which are necessary to construct the CBs by sakurai-sugiura method. The serial performance of the proposed method shows a significant advantage in both runtime and memory usage compared to the conventional method. Furthermore, owing to the hierarchical parallelism in sakurai-sugiura method and the domain-decomposition technique for real-space grids, we can achieve an excellent scalability in the CBs calculation of a boron and nitrogen doped carbon nanotube consisting of more than 10,000 atoms using 2,048 nodes (139,264 cores) of Oakforest-PACs. Copyright © 2017, The Authors. All rights reserved.

关键词： Carbon nanotubes

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