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Package of the vector math library based on the sunway processor

Ruan Jian Xue Bao/Journal of Software 2014年 25卷 70-79页

作者： Xie, Qing-Chun Zhang, Yun-Quan Li, Yan Pang, Ren-Bo Wu, Zai-Long Lu, Yong-Quan Gao, Peng-Dong High Performance Computing Center Communication University of China Beijing100024 China Laboratory of Parallel Computing Institute of Software The Chinese Academy of Sciences Beijing100190 China State Key Laboratory of Computer Architecture Institute of Computing Technology The Chinese Academy of Sciences Beijing100190 China Department of Computer and Network National Marine Environmental Forecasting Center Beijing100081 China School of Information Sceience and Technology The Ocean University of China Qingdao266100 China

This paper first introduces the SIMD (single instruction multiple data) extension technology and presents three ways to use SIMD instructions. It is considered that calling the third party library, which is optimized for the target platform by using those instructions, is the best way to benefit the developers. Next, it introduces the China-developed SW-1600 CPU, and a software package called SW-VML, which consists of many mathematical functions, by using the SIMD extension technology. In order to solve the additional overhead caused by unaligned address access and transformation between vector and scalar array, the paper provides some performance optimized methods, such as aligned address access, simplifying vector condition branch and loop unrolling. An upgrade to SW-VML is also offered to support multi-thread with OpenMP. Finally, functions in the package are tested using arrays of different sizes on SW-1600, and the test results show that high performance is achieved with the technology of the SIMD vectorization. Compared with the traditional methods of the scalar calculation, the average speedup is up to 2.06. The performance speedup of package using 4 threads is up to 2.26 compared to using a single thread. SW-VML is a common vector function package for domestic Sunway processor series, and it can be used as a basic toolkit which is beneficial to high performance computing on Sunway platform. ©2014 ISCAS.

关键词： Vectors

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Corrigendum to "Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems". J. Clean. Prod. 306 (2021) 127278

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Journal of cleaner production 2021年 320卷 128836页

作者： Jiewu Leng Man Zhou Yuxuan Xiao Hu Zhang Qiang Liu Weiming Shen Qianyi Su Longzhang Li Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing System State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment Guangdong University of Technology Guangzhou 510006 China. Department of Information Systems City University of Hong Kong 999077 Hong Kong China. State Key Laboratory of Digital Manufacturing Equipment and Technology Huazhong University of Science and Technology Wuhan 430074 China.

[This corrects the article DOI: 10.1016/***.2021.127278.].

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Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report

Power Efficient Video Super-Resolution on Mobile NPUs with...

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17th European Conference on computer Vision, ECCV 2022

作者： Ignatov, Andrey Timofte, Radu Chiang, Cheng-Ming Kuo, Hsien-Kai Xu, Yu-Syuan Lee, Man-Yu Lu, Allen Cheng, Chia-Ming Chen, Chih-Cheng Yong, Jia-Ying Shuai, Hong-Han Cheng, Wen-Huang Jia, Zhuang Xu, Tianyu Zhang, Yijian Bao, Long Sun, Heng Zhang, Diankai Gao, Si Liu, Shaoli Wu, Biao Zhang, Xiaofeng Zheng, Chengjian Lu, Kaidi Wang, Ning Sun, Xiao Wu, HaoDong Liu, Xuncheng Zhang, Weizhan Yan, Caixia Du, Haipeng Zheng, Qinghua Wang, Qi Chen, Wangdu Duan, Ran Sun, Mengdi Zhu, Dan Chen, Guannan Cho, Hojin Kim, Steve Yue, Shijie Li, Chenghua Zhuge, Zhengyang Chen, Wei Wang, Wenxu Zhou, Yufeng Cai, Xiaochen Cai, Hengxing Xu, Kele Liu, Li Cheng, Zehua Lian, Wenyi Lian, Wenjing Computer Vision Lab ETH Zurich Zürich Switzerland AI Witchlabs Zürich Switzerland University of Wuerzburg Würzburg Germany MediaTek Inc. Hsinchu Taiwan National Yang Ming Chiao Tung University Hsinchu Taiwan Video Algorithm Group Camera Department Xiaomi Inc. Beijing China Audio & Video Technology Platform Department ZTE Corporation Shenzhen China Beijing China School of Computer Science and Technology Xi’an Jiaotong University Xi’an China MIGU Video Co. Ltd. Beijing China BOE Technology Group Co. Ltd. Beijing China GenGenAI Seoul Korea Republic of North China University of Technology Beijing China Institute of Automation Chinese Academy of Sciences Beijing China State Key Laboratory of Computer Architecture Institute of Computing Technology Beijing China 4Paradigm Inc. Beijing China National University of Defense Technology Changsha China University of Oxford Oxford United Kingdom Uppsala University Uppsala Sweden Northeastern University Shenyang China

ISBN: (纸本)9783031250651

Video super-resolution is one of the most popular tasks on mobile devices, being widely used for an automatic improvement of low-bitrate and low-resolution video streams. While numerous solutions have been proposed for this problem, they are usually quite computationally demanding, demonstrating low FPS rates and power efficiency on mobile devices. In this Mobile AI challenge, we address this problem and propose the participants to design an end-to-end real-time video super-resolution solution for mobile NPUs optimized for low energy consumption. The participants were provided with the REDS training dataset containing video sequences for a 4X video upscaling task. The runtime and power efficiency of all models was evaluated on the powerful MediaTek Dimensity 9000 platform with a dedicated AI processing unit capable of accelerating floating-point and quantized neural networks. All proposed solutions are fully compatible with the above NPU, demonstrating an up to 500 FPS rate and 0.2 [Watt/30 FPS] power consumption. A detailed description of all models developed in the challenge is provided in this paper. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Energy utilization

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Simulation Study on the Characteristics of Fuel Cell system for Hydrogen-Powered Vessel

SSRN

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SSRN 2024年

作者： Xiong, Zhe Yuan, Yupeng Tong, Liang Li, Xiao Shen, Boyang State Key Laboratory of Maritime Technology and Safety Wuhan University of Technology China Wuhan University of Technology Hubei Wuhan430063 China School of Naval Architecture Ocean and Energy Power Engineering Wuhan University of Technology Hubei Wuhan430063 China Reliability Engineering Institute School of Transportation and Logistics Engineering Wuhan University of Technology Hubei Wuhan430063 China Wuhan Troowin Power System Technology Corporation Limited Wuhan430056 China Department of Engineering University of Cambridge CambridgeCB3 0FA United Kingdom

To investigate the dynamic characteristics of proton exchange membrane fuel cells (PEMFCs) on maritime vessels, a lumped-parameter model for the PEMFC systems was developed based on a hybrid vessel propulsion systems model. Simulations and analyses of the dynamic characteristics of PEMFCs were conducted under typical sailing *** results reveal a noticeable hysteresis in the operating temperature of PEMFC stacks during vessel start-up, berthing, and departure voyages, leading to significant overvoltage in activation, ohmic, and concentration differences. This phenomenon, in turn, causes a delay in the output voltage of the fuel cells. Significant variations in vessel loads can cause substantial changes in hydrogen pressure, oxygen pressure, and the levels of other gas components. A comparison of different humidification levels for cathode and anode gases demonstrates that increasing humidification levels results in higher water content within the proton exchange membrane, can reduce ohmic impedance, and decrease overvoltage in fuel cell voltage simultaneously. Consequently, this enhances the overall performance of the fuel cells. The results of this paper are of guiding significance for the design optimization, performance analysis, and real-time control of marine PEMFC control systems. © 2024, The Authors. All rights reserved.

关键词： Electrodes

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高排放城市在中国公平低碳转型中的杠杆效应

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Science Bulletin 2023年第20期68卷 2456-2466,M0006页

作者：郑赫然张增恺 Erik Dietzenbacher 周雅 Johannes Tobben 冯奎双 Daniel Moran 蒋萌单钰理王道平刘晓宇李莉赵丹丹孟靖区家敏关大博 The Bartlett School of Sustainable Construction University College LondonLondon WC1H 0QBUK State Key Laboratory of Marine Environmental Science College of Environment and EcologyXiamen UniversityXiamen 361102China Faculty of Economics and Business University of GroningenGroningen 9747 AGNetherlands Key Laboratory of City Cluster Environmental Safety and Green Development Ministry of EducationSchool of EcologyEnvironment and ResourcesGuangdong University of TechnologyGuangzhou 510006China Gesellschaft für Wirtschaftliche Strukturforschung mbH Osnabrck 49080Germany Social Metabolism and Impacts Potsdam Institute for Climate Impact ResearchMember of the Leibniz AssociationPotsdam 14412Germany Department of Geographical Sciences University of MarylandCollege Park MD 20742USA The Climate and Environmental Research Institute NILU Lillestrøm 2007Norway Industrial Ecology Programme Department of Energy and Process TechnologyNorwegian University of Science and TechnologyTrondheim 7010Norway School of Geography Earth and Environmental SciencesUniversity of BirminghamBirmingham B152TTUK Department of Geography King’s College LondonLondon WC2R 2LSUK Department of Computer Science and Technology University of CambridgeCambridge CB30FDUK Research and Promotion Center for Green and Low-carbon Development Environmental Development Center of the Ministry of Ecology and EnvironmentBeijing 100029China School of Economics and Management China University of GeosciencesBeijing 100083China Department of Built Environment Aalto UniversityEspoo 02150Finland Department of Sociology Utrecht UniversityUtrecht 3584 CSNetherlands Ministry of Education Key Laboratory for Earth System Modelling Department of Earth System ScienceTsinghua UniversityBeijing 100084China

中国城市在全球碳减排中扮演着核心角色,然而中国城市间巨大的经济发展差异深刻影响了中国城市减排的进程.城际供应链连接了城市的生产和消费,被认为是塑造地区分化和减排疲软的因素之一,但该效应在先前的研究中往往没有得到充分的考虑... 详细信息

中国城市在全球碳减排中扮演着核心角色,然而中国城市间巨大的经济发展差异深刻影响了中国城市减排的进程.城际供应链连接了城市的生产和消费,被认为是塑造地区分化和减排疲软的因素之一,但该效应在先前的研究中往往没有得到充分的考虑.本文对2012年中国309个城市的供应链进行建模.利用该模型,我们揭示了城市间存在显著的碳不平等:中国最富裕的10个城市的人均碳足迹相当于美国的水平,而中国一半的城市则低于全球平均水平.然而,这种显著的碳不平等也蕴含着新的减排机遇,即对32个超高排放城市,根据其富裕程度、产业结构和供应链的位置采取不同的减排策略,将可创造高达1.4亿吨的碳配额,距离碳达峰值增加了30%的空间.额外的碳配额足够使经济发展欠发达人口的平均生活水平达到中上收入水平,突出了城市层面的合作机制具有促进公平和减排目标收敛的巨大潜力.

关键词：经济发展差异供应链产业结构收入水平碳配额杠杆效应减排策略碳减排

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Analysis of Network Vulnerability Under Joint Node and Link Attacks

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IOP Conference Series: Materials Science and Engineering 2018年第5期322卷

作者： Yongcheng Li Shumei Liu Yao Yu Ting Cao State Key Laboratory of Complex Elevtromagnetic Environment Effects on Electronics and Information System (CEMEE) Luoyang China School of Computer Science and Engineering Northeastern University Shenyang China Shenyang International Engineering Consulting Center China

The security problem of computer network system is becoming more and more serious. The fundamental reason is that there are security vulnerabilities in the network system. Therefore, it's very important to identify and reduce or eliminate these vulnerabilities before they are attacked. In this paper, we are interested in joint node and link attacks and propose a vulnerability evaluation method based on the overall connectivity of the network to defense this attack. Especially, we analyze the attack cost problem from the attackers' perspective. The purpose is to find the set of least costs for joint links and nodes, and their deletion will lead to serious network connection damage. The simulation results show that the vulnerable elements obtained from the proposed method are more suitable for the attacking idea of the malicious persons in joint node and link attack. It is easy to find that the proposed method has more realistic protection significance.

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Reviewing continual learning from the perspective of human-level intelligence

arXiv

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arXiv 2021年

作者： Chang, Yifan Li, Wenbo Peng, Jian Tang, Bo Kang, Yu Lei, Yinjie Gui, Yuanmiao Zhu, Qing Liu, Yu Li, Haifeng The State Key Laboratory of Fire Science Department of Automation and Institute of Advanced Technology University of Science and Technology of China Hefei China Institute of Intelligent Machines Chinese Academy of Sciences Hefei230031 China The Department of Electrical and Computer Engineering Mississippi State University United States College of Electronics and Information Engineering Sichuan University Chengdu China Faculty of Geosciences and Environmental Engineering The Southwest Jiaotong University Chengdu China Institute of Remote Sensing and Geographic Information System Peking Universit Beijing China School of Geosciences and Info-Physics Central South University South Lushan Road Changsha410083 China

Humans continual learning (CL) ability is closely related to Stability Versus Plasticity Dilemma that describes how humans achieve ongoing learning capacity and preservation for learned information. The notion of CL has always been present in artificial intelligence (AI) since its births. This paper proposes a comprehensive review of CL. Different from previous reviews that mainly focus on the catastrophic forgetting phenomenon in CL, this paper surveys CL from a more macroscopic perspective based on the Stability Versus Plasticity mechanism. Analogous to biological counterpart, "smart" AI agents are supposed to i) remember previously learned information (information retrospection);ii) infer on new information continuously (information prospection:);iii) transfer useful information (information transfer), to achieve high-level CL. According to the taxonomy, evaluation metrics, algorithms, applications as well as some open issues are then introduced. Our main contributions concern i) rechecking CL from the level of artificial general intelligence;ii) providing a detailed and extensive overview on CL topics;iii) presenting some novel ideas on the potential development of CL. © 2021, CC BY.

关键词： Petroleum reservoir evaluation

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Time-Dependent Pricing for On-Demand Bandwidth Slicing in Software Defined Networks

Time-Dependent Pricing for On-Demand Bandwidth Slicing in So...

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International Wireless Communications and Mobile Computing Conference

作者： Bo Gu Junhao Feng Zhenyu Zhou Mohsen Guizani Department of Information and Communications Engineering Kogakuin University Tokyo Japan State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Electrical and Electronic Engineering North China Electric Power University Beijing China Electrical and Computer Engineering Department University of Idaho USA

In this paper, we propose a time-dependent pricing (TDP) scheme for bandwidth consumption scheduling of multimedia streaming applications. By decoupling the network control functions from data delivery, software defined network (SDN) enables multimedia streaming users to negotiate their QoS parameters in a on-demand basis. Our key idea is to employ TDP as an incentive mechanism in SDN to motivate users to shift their delay-tolerant traffic demand, and free up resources for delay-sensitive applications in peak-time. Then, a Stackelberg game is formulated to analyze the interactions between the ISP and users. Next, we proposed a greedy algorithm to obtain the optimal congestion price and bandwidth slicing in each time slot based on real-time traffic load as well as users' preferences for delay. Finally, simulation results confirm that the proposed method can significantly flatten out traffic fluctuation.

关键词： TDP Delay sensitivity Utility Congestion management Traffic demand QoS SDN Bandwidth slicing

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PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing

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ACM Transactions on Software Engineering and Methodology 1000年

作者： Yuwei Zhang Zhi Jin Ying Xing Ge Li Fang Liu Jiaxin Zhu Wensheng Dou Jun Wei Key Laboratory of System Software (Chinese Academy of Sciences) Institute of Software Chinese Academy of Sciences University of Chinese Academy of Sciences China Key Laboratory of High Confidence Software Technologies (Peking University) Ministry of Education School of Computer Science Peking University School of Computer Science Wuhan University China School of Intelligent Engineering and Automation Beijing University of Posts and Telecommunications China School of Computer Science Peking University China State Key Laboratory of Complex & Critical Software Environment School of Computer Science and Engineering Beihang University China

Bug fixing holds significant importance in software development and maintenance. Recent research has made substantial strides in exploring the potential of large language models (LLMs) for automatically resolving software bugs. However, a noticeable gap in existing approaches lies in the oversight of collaborative facets intrinsic to bug resolution, treating the process as a single-stage endeavor. Moreover, most approaches solely take the buggy code snippet as input for LLMs during the patch generation stage. To mitigate the aforementioned limitations, we introduce a novel stage-wise framework named PATCH. Specifically, we first augment the buggy code snippet with corresponding dependence context and intent information to better guide LLMs in generating the correct candidate patches. Additionally, by taking inspiration from bug management practices, we decompose the bug-fixing task into four distinct stages: bug reporting, bug diagnosis, patch generation, and patch verification. These stages are performed interactively by LLMs, aiming to simulate the collaborative behavior of programmers during the resolution of software bugs. By harnessing these collective contributions, PATCH effectively enhances the bug-fixing capability of LLMs. We implement PATCH by employing the powerful dialogue-based LLM ChatGPT. Our evaluation on the widely used bug-fixing benchmark BFP demonstrates that PATCH has achieved better performance than state-of-the-art LLMs.

关键词： Bug Fixing Large Language Model Bug Management Multi-Agent Collaboration

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S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles

arXiv

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arXiv 2024年

作者： Wang, Xiao Tang, Ke Dai, Xingyuan Xu, Jintao Du, Quancheng Ai, Rui Wang, Yuxiao Gu, Weihao Engineering Research Center of Autonomous Unmanned System Technology Ministry of Education Anhui University Hefei230031 China Haomo Technology Co. Ltd. Beijing100192 China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Qingdao Academy of Intelligent Industries Qingdao266114 China The School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China The School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China

In public roads, autonomous vehicles (AVs) face the challenge of frequent interactions with human-driven vehicles (HDVs), which render uncertain driving behavior due to varying social characteristics among humans. To effectively assess the risks prevailing in the vicinity of AVs in social interactive traffic scenarios and achieve safe autonomous driving, this article proposes a social-suitable and safety-sensitive trajectory planning (S4TP) framework. Specifically, S4TP integrates the Social-Aware Trajectory Prediction (SATP) and Social-Aware Driving Risk Field (SADRF) modules. SATP utilizes Transformers to effectively encode the driving scene and incorporates an AV’s planned trajectory during the prediction decoding process. SADRF assesses the expected surrounding risk degrees during AVs-HDVs interactions, each with different social characteristics, visualized as two-dimensional heat maps centered on the AV. SADRF models the driving intentions of the surrounding HDVs and predicts trajectories based on the representation of vehicular interactions. S4TP employs an optimization-based approach for motion planning, utilizing the predicted HDVs’ trajectories as input. With the integration of SADRF, S4TP executes real-time online optimization of the planned trajectory of AV within low-risk regions, thus improving the safety and the interpretability of the planned trajectory. We have conducted comprehensive tests of the proposed method using the SMARTS simulator. Experimental results in complex social scenarios, such as unprotected left-turn intersections, merging, cruising, and overtaking, validate the superiority of our proposed S4TP in terms of safety and rationality. S4TP achieves a pass rate of 100% across all scenarios, surpassing the current state-of-the-art methods Fanta of 98.25% and Predictive-Decision of 94.75%. Copyright © 2024, The Authors. All rights reserved.

关键词： Autonomous vehicles

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