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作者： S. Nishimura T. Kudoh H. Nishi J. Yamamoto R. Ueno K. Harasawa S. Fukuda Y. Shikichi S. Akutsu K. Tasho H. Amano Co Central Research Laboratory RWCP Optical Interconnection Hitachi Laboratory Hitachi and Limited Japan Real World Computing Partnership Tsukuba Research Center Japan Department of Information and Computer Science Keio University Japan Hitachi Communication Systems Inc. Japan Synergetech Inc. UK

We have developed a prototype network switch, RHiNET-3/SW, for a RHiNET high-performance distributed parallel computing environment. It has eight I/O ports and each port provides high-speed, bi-directional 10-Gbit/s-per-port parallel optical data transmission in a distance of over 300 m. The aggregate throughput is 80 Gbit/s per board. A switch consists of a one-chip CMOS ASIC 8/spl times/8 switch LSI (SW-LSI; a 784-pin BGA package), four deskew LSIs, and eight pairs of 1.25-Gbit/s/spl times/12-channel optical interconnection modules on a single board. The switch uses a hop-by-hop retransmission mechanism and credit-based flow control to provide reliable and long-transmission-distance data communication. The deskew LSI has a skew compensation function for 10-bit parallel data channels and an 8B10B encoder/decoder. Its optical transmitter modules use an 850-nm VCSEL and a 12-channel MMF (multi-mode fiber) ribbon. RHiNET-3/SW enables high-throughput. Long-distance and flexible-flow-control network communication by means of distributed parallel computing using commercial PCs.

关键词： High-speed networks Optical switches Communication switching Parallel processing Optical interconnections Optical transmitters Data communication Large scale integration Prototypes Bidirectional control

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Naming games in two-dimensional and small-world-connected random geometric networks

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Physical Review E 2008年第1期77卷 016111-016111页

作者： Qiming Lu G. Korniss B. K. Szymanski Department of Physics Applied Physics and Astronomy Rensselaer Polytechnic Institute 110 8th Street Troy New York 12180-3590 USA Center for Pervasive Computing and Networking Rensselaer Polytechnic Institute 110 8th Street Troy New York 12180-3590 USA Department of Computer Science Rensselaer Polytechnic Institute 110 8th Street Troy New York 12180-3590 USA

We investigate a prototypical agent-based model, the naming game, on two-dimensional random geometric networks. The naming game [Baronchelli et al., J. Stat. Mech.: Theory Exp. (2006) P06014] is a minimal model, employing local communications that captures the emergence of shared communication schemes (languages) in a population of autonomous semiotic agents. Implementing the naming games with local broadcasts on random geometric graphs, serves as a model for agreement dynamics in large-scale, autonomously operating wireless sensor networks. Further, it captures essential features of the scaling properties of the agreement process for spatially embedded autonomous agents. Among the relevant observables capturing the temporal properties of the agreement process, we investigate the cluster-size distribution and the distribution of the agreement times, both exhibiting dynamic scaling. We also present results for the case when a small density of long-range communication links are added on top of the random geometric graph, resulting in a “small-world”-like network and yielding a significantly reduced time to reach global agreement. We construct a finite-size scaling analysis for the agreement times in this case.

关键词： STATE POTTS-MODEL WIRELESS NETWORKS RENORMALIZATION-GROUP DOMAIN GROWTH 2 DIMENSIONS VOTER MODEL DYNAMICS KINETICS LANGUAGE SYSTEMS

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Recovering Chemistry at Atomic Resolution using Multi-Modal Spectroscopy

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Microscopy and Microanalysis 2021年第S1期27卷 1226-1228页

作者： Jonathan Schwartz Yi Jiang Zichao Wendy Di Tao Ma Huihuo Zheng Steve Rozeveld Robert Hovden Department of Materials Science and Engineering University of Michigan United States Advanced Photon Source Argonne National Laboratory Lemont IL60439 USA United States Mathematics and Computer Science Division Argonne National Laboratory United States Michigan Center for Materials Characterization United States Argonne Leadership Computing Facility Argonne National Laboratory United States Dow Chemical Co. United States

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The dynamic parallel distribution algorithm for hybrid density-functional calculations in HONPAS package

arXiv

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arXiv 2020年

作者： Shang, Honghui Xu, Lei Wu, Baodong Qin, Xinming Zhang, Yunquan Yang, Jinlong State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China Hefei National Laboratory for Physical Sciences at Microscale Department of Chemical Physics Synergetic Innovation Center of Quantum Information and Quantum Physics University of Science and Technology of China Hefei Anhui230026 China

This work presents a dynamic parallel distribution scheme for the Hartree-Fock exchange (HFX) calculations based on the real-space NAO2GTO framework. The most time-consuming electron repulsion integrals (ERIs) calculation is perfectly load-balanced with 2-level master-worker dynamic parallel scheme, the density matrix and the HFX matrix are both stored in the sparse format, the network communication time is minimized via only communicating the index of the batched ERIs and the final sparse matrix form of the HFX matrix. The performance of this dynamic scalable distributed algorithm has been demonstrated by several examples of large scale hybrid density-functional calculations on Tianhe-2 supercomputers, including both molecular and solid states systems with multiple dimensions, and illustrates good scalability. Copyright © 2020, The Authors. All rights reserved.

关键词： Density functional theory

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Bamboo - Translating MPI applications to a latency-tolerant, data-driven form 12

Bamboo - Translating MPI applications to a latency-tolerant,...

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ACM/IEEE International Conference for High Performance computing, Networking, Storage, and Analysis

作者： Tan Nguyen Pietro Cicotti Eric Bylaska Dan Quinlan Scott B. Baden Department of Computer Science and Engineering University of California San Diego La Jolla CA 92093 USA Environmental Molecular Sciences Laboratory Pacific Northwest National Laboratory Richland WA 99354 USA Center for Advanced Scientific Computing Lawrence Livermore National Laboratory Livermore CA 94550 USA

ISBN: (纸本)9781467308052

We present Bamboo, a custom source-to-source translator that transforms MPI C source into a data-driven form that automatically overlaps communication with available computation. Running on up to 98304 processors of NERSC's Hopper system, we observe that Bamboo's overlap capability speeds up MPI implementations of a 3D Jacobi iterative solver and Cannon's matrix multiplication. Bamboo's generated code meets or exceeds the performance of hand optimized MPI, which includes split-phase coding, the method classically employed to hide communication. We achieved our results with only modest amounts of programmer annotation and no intrusive reprogramming of the original application source.

关键词： latency-tolerant NERSC's MPI message passing mannose phosphate isomerase remote procedure calls bamboos phase splitting Communication Research data driven AUTOMATIC

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A survey of hybrid human-artificial intelligence for social computing

arXiv

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arXiv 2021年

作者： Wang, Wenxi Ning, Huansheng Shi, Feifei Dhelim, Sahraoui Zhang, Weishan Chen, Liming School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China Beijing Engineering Research Center for Cyberspace Data Analysis and Applications Beijing100083 China Department of Software Engineering China University of Petroleum Qingdao266580 China School of Computing Ulster University United Kingdom

Along with the development of modern computing technology and social sciences, both theoretical research and practical applications of social computing have been continuously extended. In particular with the boom of artificial intelligence (AI), social computing is significantly influenced by AI. However, the conventional technologies of AI have drawbacks in dealing with more complicated and dynamic problems. Such deficiency can be rectified by hybrid human-artificial intelligence (H-AI) which integrates both human intelligence and AI into one unity, forming a new enhanced intelligence. H-AI in dealing with social problems shows the advantages that AI can’t surpass. This paper firstly introduces the concepts of H-AI. AI is the intelligence in the transition stage of H-AI, so the latest research progresses of AI in social computing are reviewed. Secondly, it summarizes typical challenges faced by AI in social computing, and makes it possible to introduce H-AI to solve these challenges. Finally, the paper proposes a holistic framework of social computing combining with H-AI, which consists of four layers: object layer, base layer, analysis layer, and application layer. It represents HAI has significant advantages over AI in solving social problems. Copyright © 2021, The Authors. All rights reserved.

关键词： Social sciences computing

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Self-Supervised Multi-LiDAR Object View Generation Using Single LiDAR

Self-Supervised Multi-LiDAR Object View Generation Using Sin...

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IEEE International Conference on Embedded and Real-Time computing Systems and Applications (RTCSA)

作者： Yi-Hung Kuo Chi-Sheng Shih Hsiang-Jui Lin Shih-Hao Hung Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan Graduate Institute of Networking and Multimedia National Taiwan University Taipei Taiwan High Performance and Scientific Computing Center National Taiwan University Taipei Taiwan Mohamed bin Zayed University of Artificial Intelligence Abu Dhabi

3D object detection using point clouds has been widely used for self-driving vehicles, roadside vehicle detection, and tracking. However, the detection accuracy using single-LiDAR-scanned point clouds suffers from occlusion to have accurate bounding boxes. Several previous works proposed compensating for the point cloud to improve 3D detection. This work designed a self-labeling method that exploits the characteristics of multiple LiDAR-scanned point clouds collected on roadside units. This labeling method allows the point completion model to be trained without human-labeled bounding boxes. The point completion model uses the single-LiDAR-scanned point cloud as input and uses the extracted object points from the fused point cloud as the training target. The voxel IoU and recall of the point-completed point clouds increased by 17% and 22% compared to that of the raw point clouds. Additionally, the detection performance of DBSCAN, i.e., 3D AP@IoU=0.25 increased by 20% after applying the point completion algorithm.

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Services computing in Daily Work: Service Engineering vs. Software Engineering

Services Computing in Daily Work: Service Engineering vs. So...

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IEEE International Conference on Web Services (ICWS)

作者： Hemant Jain Calton Pu Sridhar Iyengar Brian Blake Carl K. Chang Wisconsin Distinguished & Tata Consultancy Services Professor of Management Information System in Sheldon B. Lubar School of Business at University of Wisconsin-Milwaukee USA Professor and John P. Imlay Jr. Chair in Software at College of Computing Georgia Tech USA IBM Distinguished Engineer Strategist of Services Software Research at the IBM TJ Watson Research Center USA Associate Professor and Chair of the Department of Computer Science at Georgetown University USA Editor-in-Chief of IEEE Computer and Professor and Chair of the Department of Computer Science at Iowa State University

Today, more and more software are augmented with service-oriented packaging. At the same time, more and more business and government services are provided and offered in the form of software. However, there are debate... 详细信息

关键词： Software engineering computer science Design engineering Management information systems USA Councils Web services Software tools Government computer architecture Educational institutions

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The static parallel distribution algorithms for hybrid density-functional calculations in HONPAS package

arXiv

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arXiv 2020年

作者： Qin, Xinming Shang, Honghui Xu, Lei Hu, Wei Yang, Jinlong Li, Shigang Zhang, Yunquan State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China Hefei National Laboratory for Physical Sciences at Microscale Department of Chemical Physics Synergetic Innovation Center of Quantum Information and Quantum Physics University of Science and Technology of China Hefei Anhui230026 China

Hybrid density-functional calculation is one of the most commonly adopted electronic structure theory used in computational chemistry and materials science because of its balance between accuracy and computational cost. Recently, we have developed a novel scheme called NAO2GTO to achieve linear scaling (Order-N) calculations for hybrid density-functionalsShang et al. (2011). In our scheme, the most time-consuming step is the calculation of the electron repulsion integrals (ERIs) part. So how to create an even distribution of these ERIs in parallel implementation is an issue of particular importance. Here, we present two static scalable distributed algorithms for the ERIs computation. Firstly, the ERIs are distributed over ERIs shell pairs. Secondly, the ERIs is distributed over ERIs shell quartets. In both algorithms, the calculation of ERIs is independent of each other, so the communication time is minimized. We show our speedup results to demonstrate the performance of these static parallel distributed algorithms in the Hefei Order-N packages for ab initio simulations (HONPAS)Qin et al. (2014). Copyright © 2020, The Authors. All rights reserved.

关键词： Calculations

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Genetic and phenotypic relationships between coronary atherosclerotic heart disease and electrocardiographic traits

Genetic and phenotypic relationships between coronary athero...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Xinfeng Wang Haoyang Zhang Xuehao Xiu Mengling Qi Yuedong Yang Huiying Zhao Key Laboratory of Machine Intelligence and Advanced Computing of MOE School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation Department of Medical Research Center Sun Yat-sen Memorial Hospital Guangzhou China

ISBN: (数字)9781665468190

ISBN: (纸本)9781665468206

Observational studies have revealed that Coronary Atherosclerotic Heart Disease (CAHD) is associated with abnormal electrocardiogram (ECG) traits. However, it remains unclear whether there are genetic correlations between ECG and CAHD. Here, we explored genetic correlations and putative causal relationships between CAHD and ECG by performing Mendelian randomization (MR) and Polygenic risk score (PRS) analyses on the summary statistics from a large-scale genome-wide association study (GWAS) for CAHD (FinnGen: Ncase 23363, Ncontrol 187840) and ECG traits (UK Biobank: Ncase=1137, Ncontrol=40823). Results showed a causal genetic relationship between CAHD and six ECG traits in the lead V6. These ECG traits combining with age and gender have predicted CAHD risk with an AUC of 0.76. Further summary data-based Mendelian randomization (SMR) analysis identified 11 risk genes associated with the causality between CAHD and ECG. Thus, the revealed putative causal effects of CAHD on ECG traits provide genetic evidence to support the importance of monitoring CAHD risk through the ECG.

关键词： Heart Correlation Genomics Atherosclerosis Electrocardiography Lead Bioinformatics

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