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International Conference on Computer Communications and Networks (ICCCN)

作者： Ce Chi Kaixuan Ji Avinab Marahatta Fa Zhang Youshi Wang Zhiyong Liu University of Chinese Academy of Sciences Beijing China High Performance Computer Research Center Institute of Computing Technology Chinese Academy of Sciences Beijing China Meituan-Dianping Group Beijing China

ISBN: (数字)9781728166070

ISBN: (纸本)9781728166087

The size and amount of colocation data centers (colocations, for short) have been growing rapidly with the increasing popularity of cloud services, which ultimately causes a heavy burden on the power grid and the environment. However, even a colocation owner wishes to reduce its energy consumption, it may not be able to apply some effective energy saving techniques directly to the servers, since the servers belong to and are operated by its tenants. To solve the "uncoordinated relationship" issue between owners and tenants and achieve the energy reduction with a limited cost budget, an energy saving-oriented incentive mechanism, ESCo is proposed in this paper. Different from existing mechanisms that emphasize on minimizing the cost for the owners, our mechanism emphasizes on the maximization of the amount of energy saved by the tenants given a limited budget that the owner wants to pay for the energy saving. An algorithm is developed to realize a stable assignment in the mechanism. Trace-driven simulations based on real-world data are performed to verify the effectiveness of ESCo. The results show that ESCo can achieve 14.47% more energy saving than existing colocation incentive mechanisms.

关键词： Data centers Servers Energy consumption Power grids Power demand Advertising

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Enabling System Wide Shared Memory for performance Improvement in PyCOMPSs Applications

Enabling System Wide Shared Memory for Performance Improveme...

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Workshop on Python for high-performance and Scientific computing (PyHPC)

作者： Clément Foyer Javier Conejero Jorge Ejarque Rosa M. Badia Adrian Tate Simon McIntosh-Smith HPE HPC/AI EMEA Research Lab Bristol United Kingdom High Performance Computing Research Group University of Bristol Bristol United Kingdom Barcelona Supercomputing Center Barcelona Spain Numerical Algorithms Group Ltd. (NAG) Oxford United Kingdom

ISBN: (数字)9780738110868

ISBN: (纸本)9781665422864

Python has been gaining some traction for years in the world of scientific applications. However, the high-level abstraction it provides may not allow the developer to use the machines to their peak performance. To address this, multiple strategies, sometimes complementary, have been developed to enrich the software ecosystem either by relying on additional libraries dedicated to efficient computation (e.g., NumPy) or by providing a framework to better use HPC scale infrastructures (e.g., PyCOMPSs).In this paper, we present a Python extension based on SharedArray that enables the support of system-provided shared memory and its integration into the PyCOMPSs programming model as an example of integration to a complex Python environment. We also evaluate the impact such a tool may have on performance in two types of distributed execution-flows, one for linear algebra with a blocked matrix multiplication application and the other in the context of data-clustering with a k-means application. We show that with very little modification of the original decorator (3 lines of code to be modified) of the task-based application the gain in performance can rise above 40% for tasks relying heavily on data reuse on a distributed environment, especially when loading the data is prominent in the execution time.

关键词： Task analysis Python Memory management Runtime Libraries Tools Metadata

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Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

arXiv

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arXiv 2021年

作者： Dong, Bo Wang, Wenhai Fan, Deng-Ping Li, Jinpeng Fu, Huazhu Shao, Ling Nankai University Tianjin300350 China Shanghai Artificial Intelligence Laboratory Shanghai200232 China Computer Vision Lab Inception Institute of Artificial Intelligence Abu Dhabi United Arab Emirates Institute of High Performance Computing Agency for Science Technology and Research Singapore138632 Singapore UCAS-Terminus AI Lab Terminus Group Chongqing400042 China

Most polyp segmentation methods use CNNs as their backbone, leading to two key issues when exchanging information between the encoder and decoder: 1) taking into account the differences in contribution between different-level features and 2) designing an effective mechanism for fusing these features. Unlike existing CNN-based methods, we adopt a transformer encoder, which learns more powerful and robust representations. In addition, considering the image acquisition influence and elusive properties of polyps, we introduce three standard modules, including a cascaded fusion module (CFM), a camouflage identification module (CIM), and a similarity aggregation module (SAM). Among these, the CFM is used to collect the semantic and location information of polyps from high-level features;the CIM is applied to capture polyp information disguised in low-level features, and the SAM extends the pixel features of the polyp area with high-level semantic position information to the entire polyp area, thereby effectively fusing cross-level features. The proposed model, named Polyp-PVT, effectively suppresses noises in the features and significantly improves their expressive capabilities. Extensive experiments on five widely adopted datasets show that the proposed model is more robust to various challenging situations (e.g., appearance changes, small objects, rotation) than existing representative methods. The proposed model is available at https://***/DengPingFan/Polyp-PVT. © 2021, CC BY.

关键词： Computer vision

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Numerical and experimental study of structural film adhesives and SCARF repairs 22

Numerical and experimental study of structural film adhesive...

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22nd International Conference on Composite Materials, ICCM 2019

作者： Su, Zhoucheng Wang, Dan Chong, Huang Ming Wu, Zi An Stefanie, Feih Sridhar, N. Department of Engineering Mechanics Institute of High Performance Computing A*STAR Research Entities 1 Fusionopolis Way 138632 Singapore Joining Technology Group Singapore Institute of Manufacturing Technology A*STAR Research Entities 2 Fusionopolis Way 138634 Singapore

With the wider application of composites, repairing damaged composite structures has become more important due to the high costs associated with full component replacement. Scarf repairs are drawing increasing attention since they provide not only a flush repair surface, but also high strength recovery. In this paper, both numerical and experimental studies are carried out for structural film adhesives and scarf repairs. A traction-separation law with bilinear softening is employed to simulate the bridging effect caused by the scrim in the adhesive layer for specimens in the double cantilever beam (DCB) configuration and has proved to match the test results better compared to conventional linear softening degradation laws. Progressive damage models are developed to virtually test both two dimensional (2D) and three dimensional (3D) scarf repairs with a [-45/90/45/0]s lay-up under uniaxial tensile loading. For two dimensional (2D) scarf repairs, the experimental and numerical results show that the scarf angle has a significant influence on the fraction of the virgin laminate strength recovered. As the scarf angle increases, the fractional strength recovered is largely reduced. The damage mechanisms are examined in detail. It is also numerically found that the tensile strength increases as the offset between the parent and repair patches increases by up to one ply thickness. Numerical results for the 3D scarf repair also agree with the experimental results. The computationally efficient numerical framework developed in this study can be used to virtually design and optimize scarf joints and minimize the number of real, but expensive, physical tests. © 2019 International Committee on Composite Materials. All rights reserved.

关键词： Repair

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Security boundaries of an optical power limiter for protecting quantum key distribution systems

arXiv

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arXiv 2023年

作者： Peng, Qingquan Gao, Binwu Zaitsev, Konstantin Wang, Dongyang Ding, Jiangfang Liu, Yingwen Liao, Qin Guo, Ying Huang, Anqi Wu, Junjie Institute for Quantum Information State Key Laboratory of High Performance Computing College of Computer Science and Technology National University of Defense Technology Changsha410073 China School of Automation Central South University Changsha410083 China China Greatwall Research Institute China Greatwall Technology Group Co. Ltd. Shenzhen518057 China Russian Quantum Center Skolkovo Moscow121205 Russia NTI Center for Quantum Communications National University of Science and Technology MISiS Moscow119049 Russia Vigo Quantum Communication Center University of Vigo Vigo Spain Escuela de Ingeniería de Telecomunicación Department of Signal Theory and Communications University of Vigo Vigo Spain atlanTTic Research Center University of Vigo Vigo Spain College of Computer Science and Electronic Engineering Hunan University Changsha410082 China School of Computer Science Beijing University of Posts and Telecommunications Beijing100876 China

Unauthorized light injection has always been a vital threat to the practical security of a quantum key distribution (QKD) system. An optical power limiter (OPL) based on the thermo-optical defocusing effect has been proposed and implemented, limiting the injected hacking light. As a hardware countermeasure, the performance of the OPL under various light-injection attacks shall be tested to clarify the security boundary before being widely deployed. To investigate the OPL’s security boundary in quantum cryptography, we comprehensively test and analyse the behavior of OPL under continuous-wave (c.w.) light-injection attacks and pulse illumination attacks with pulses’ repetition rate at 0.5-Hz, 40-MHz, and 1-GHz. The testing results illuminate the security boundary of the OPL, which allows one to properly employ the OPL in the use cases. The methodology of testing and analysis proposed here is applicable to other power-limitation components in a QKD system. Copyright © 2023, The Authors. All rights reserved.

关键词： Pulse repetition rate

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Front Cover: On-line Optimization of Integrated Carbon Capture and Conversion Process via the Ratings Concept: A Combined DFT and Microkinetic Modeling Approach (ChemCatChem 10/2023)

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ChemCatChem 2023年第10期15卷

作者： Jakapob Noppakhun Meena Rittiruam Tinnakorn Saelee Jasmin Shamshoddin Shaikh Prof. Patcharaporn Khajondetchairit Prof. Supareak Praserthdam Prof. Piyasan Praserthdam Center of Excellence on Catalysis and Catalytic Reaction Engineering (CECC) Department of Chemical Engineering Faculty of Engineering Chulalongkorn University Bangkok 10330 Thailand High-performance computing unit (CECC-HCU) Center of Excellence on Catalysis and Catalytic Reaction Engineering (CECC) Department of Chemical Engineering Faculty of Engineering Chulalongkorn University Bangkok 10330 Thailand Rittiruam Research Group Chulalongkorn University Bangkok 10330 Thailand Saelee Research Group Chulalongkorn University Bangkok 10330 Thailand Shaikh Research Group Chulalongkorn University Bangkok 10330 Thailand Khajondedchairit Research Group Chulalongkorn University Bangkok 10330 Thailand CAT-REAC Industrial Project Chulalongkorn University Bangkok 10330 Thailand

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NTIRE 2023 Quality Assessment of Video Enhancement Challenge

arXiv

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arXiv 2023年

作者： Liu, Xiaohong Min, Xiongkuo Sun, Wei Zhang, Yulun Zhang, Kai Timofte, Radu Zhai, Guangtao Gao, Yixuan Cao, Yuqin Kou, Tengchuan Dong, Yunlong Jia, Ziheng Li, Yilin Wu, Wei Hu, Shuming Deng, Sibin Xiao, Pengxiang Chen, Ying Li, Kai Zhao, Kai Yuan, Kun Sun, Ming Cong, Heng Wang, Hao Fu, Lingzhi Zhang, Yusheng Zhang, Rongyu Shi, Hang Xu, Qihang Xiao, Longan Ma, Zhiliang Agarla, Mirko Celona, Luigi Rota, Claudio Schettini, Raimondo Huang, Zhiwei Li, Yanan Wang, Xiaotao Lei, Lei Liu, Hongye Hong, Wei Chuang, Ironhead Lin, Allen Guan, Drake Chen, Iris Lou, Kae Huang, Willy Tasi, Yachun Kao, Yvonne Fan, Haotian Kong, Fangyuan Zhou, Shiqi Liu, Hao Lai, Yu Chen, Shanshan Wang, Wenqi Wu, Haoning Chen, Chaofeng Zhu, Chunzheng Guo, Zekun Zhao, Shiling Yin, Haibing Wang, Hongkui Meftah, Hanene Brachemi Fezza, Sid Ahmed Hamidouche, Wassim Déforges, Olivier Shi, Tengfei Mansouri, Azadeh Motamednia, Hossein Bakhtiari, Amir Hossein Aznaveh, Ahmad Mahmoudi Shanghai Jiao Tong University China ETH Zürich Switzerland University of Würzburg Germany Department of Tao Technology Alibaba Group China Kuaishou Technology China Interactive Entertainment Group of Netease Inc Guangzhou China Transsion China Vrobotit Lab Beijing University of Posts and Telecommunications China Hefei University of Technology China Department of Informatics Systems and Communication University of Milano - Bicocca Italy Xiaomi Inc. China China Ji Liang University China FreeTech China Advanced Research Center KKCompany Taiwan ByteDance China MGTV China Fuzhou University China Shopee Information Technology Co. Ltd. China S-Lab Nanyang Technological University Singapore Hunan University China Hangzhou Dianzi University China INSA Rennes CNRS IETR - UMR 6164 Rennes France National Higher School of Telecommunications and ICT Oran Algeria BUAA China Department of Electrical and Computer Engineering Faculty of Engineering Kharazmi University Tehran Iran High Performance Computing Laboratory School of Computer Science Institute for Research in Fundamental Sciences Tehran Iran Cyberspace Research Institute Shahid Beheshti University Tehran Iran

This paper reports on the NTIRE 2023 Quality Assessment of Video Enhancement Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) at CVPR 2023. This challenge is to address a major challenge in the field of video processing, namely, video quality assessment (VQA) for enhanced videos. The challenge uses the VQA Dataset for Perceptual Video Enhancement (VDPVE), which has a total of 1211 enhanced videos, including 600 videos with color, brightness, and contrast enhancements, 310 videos with deblurring, and 301 deshaked videos. The challenge has a total of 167 registered participants. 61 participating teams submitted their prediction results during the development phase, with a total of 3168 submissions. A total of 176 submissions were submitted by 37 participating teams during the final testing phase. Finally, 19 participating teams submitted their models and fact sheets, and detailed the methods they used. Some methods have achieved better results than baseline methods, and the winning methods have demonstrated superior prediction performance. Copyright © 2023, The Authors. All rights reserved.

关键词： Image enhancement

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Editorial

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Journal of Reliable Intelligent Environments 2019年第4期5卷 193-193页

作者： Coronato, Antonio Augusto, Juan Carlos Research Group on Development of Intelligent Environments Department of Computer Science Middlesex University London United Kingdom Institute for High Performance Computing and Networking National Research Council Naples Italy

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AB0030 BETA BOSWELLIC ACID BLOCKS INNATE IMMUNE RESPONSES IN MULTIPLE OA JOINT CELLS

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Annals of the Rheumatic Diseases 2021年 80卷 1048-1048页

作者： E. Franco-Trepat A. Lois-Iglesias A. Alonso-Pérez M. Guillán-Fresco M. López-Fagúndez J.P. Cerón-Carrasco A. Pazos-Pérez A. Crespo-Golmar A. Jorge-Mora S. Belén Bravo R. Gómez Institute IDIS Musculoskeletal Pathology Group Santiago de Compostela Spain Universidad Católica de Murcia (UCAM) Bioinformatics and High Performance Computing (BIO-HPC) Murcia Spain Institute IDIS Proteomics Unit Santiago de Compostela Spain

Background: Osteoarthritis (OA) incidence has skyrocketed in the last decade and yet a definitive treatment has still to be found. This worldwide disease is depriving our society from their life quality and has become a grave economic burden. research on anti-inflammatory tools has been done on traditional Asian medicine. Boswellic acid is a plant-derived molecule from the Boswellia species that has shown to prevent cartilage loss in an OA mouse model[1]. However, the specific mechanism of action is still unclear. The activation of innate immune receptors, such Toll-like receptor 4 (TLR4) has been involved in chondrocyte-mediated inflammatory responses and OA development. Although, boswellic acid has shown an inhibitory effect on TLR4-mediated inflammatory responses little is known about its role on TLR4-mediated chondrocyte inflammatory and catabolic responses. Objectives: Determine the ability of beta boswellic acid (BBA) to block TLR4-mediated innate immune responses in chondrocytes and synoviocytes. Methods: In silico The binding affinity of beta boswellic acid (BBA) to TLR4 complex signalling was determined by optimized docking algorithm in the BIO-HPC research group facilities. In vitro Cellular proteome and secretome profiling (LC-MALDI/TOFF) was used to study inflammatory pathways induced by the agonist of TLR4 (LPS [100ng/ml]) and IL1R (IL1β [0.1ng/ml]). The effect of BBA on TLR4-mediated innate immune responses was determined by RT-PCR, Western Blot and ELISA in primary human OA chondrocytes (hOC), murine ATDC5 chondrocytes, human synoviocytes (SW982) and primary human osteoblasts (hOB). Cell viability was tested using the methyl-thiazolyl-tetrazolium (MTT) reagent. Nitric oxide production in cell culture media was assessed by Griess reaction. Green Malachite Assay was used to semi-quantify the whole phosphoproteome. Ethics This study was approved by the CEIC (CAEIG 2014/310). Results: Cellular proteome and secretome profiling validated the activation of T

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Numerical simulation and reduced-order aerodynamic modeling of a lambda wing configuration

Numerical simulation and reduced-order aerodynamic modeling ...

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作者： Ghoreyshi, Mehdi Young, Michael E. Lofthouse, Andrew J. Jirásek, Adam Cummings, Russell M. High Performance Computing Research Center U.S. Air Force Academy Colorado80840 United States Defence Science and Technology Group MelbourneVIC3207 Australia High Performance Computing Research Center United States

This work is a contribution to the North Atlantic Treaty Organization Science and Technology Organization Task group AVT-201 on stability and control estimation methods. Specifically, this study uses the Cobalt and Kestrel computational fluid dynamics flow solversto predict and create reduced-order models for the aerodynamic force and moment coefficients of a generic uninhabited combat air vehicle under static and dynamic conditions and compare them with wind tunnel data. The particular reduced-order method investigated in this work is based on response functions. The geometry under investigation is known as DLR-F19, which is a lambda-wing configuration with a 53 deg angle of sweep at the leading edge. Each wing has two control surfaces on the trailing edge, hinged along the 75% chord line. Two different gridding strategies are employed: one uses an overset grid method for simulation of control-surface deflections without the need for regridding, and the other is to create a new grid for each controlsurface deflection. The simulation results of these grids are compared in order to identify the effect of gaps present in the overset method. A grid is also created to study the presence of the sting geometry as tested in the experiments. Validation results are shown for different turbulence models at selected flight conditions. Overall, a good agreement between computational results and the wind tunnel experimental data for total force coefficients is achieved. However, delayed detached eddy simulations are required for anglesofattack greater than20deg. The reduced-order modeling results show that predictions from a nonlinear model match quite well with full-order data of small amplitude motions. Small discrepancies can be seen in the plots of large-amplitude motions as well. The model predictions get worse when the belly sting geometry is included in simulations because of the nonlinear hysteresis behavior of a wake formed behind the sting. © 2017 by the authors.

关键词： Geometry

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