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Medical image registration and its application in retinal images:a review

Visual computing for Industry,Biomedicine,and Art 2024年第1期7卷 142-164页

作者： Qiushi Nie Xiaoqing Zhang Yan Hu Mingdao Gong Jiang Liu Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Center for High Performance Computing and Shenzhen Key Laboratory of Intelligent Bioinformatics Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Singapore Eye Research Institute Singapore 169856Singapore State Key Laboratory of Ophthalmology Optometry and Visual ScienceEye HospitalWenzhou Medical UniversityWenzhou 325027China

Medical image registration is vital for disease diagnosis and treatment with its ability to merge diverse informa-tion of images,which may be captured under different times,angles,or *** several surveys have reviewed the development of medical image registration,they have not systematically summarized the existing med-ical image registration *** this end,a comprehensive review of these methods is provided from traditional and deep-learning-based perspectives,aiming to help audiences quickly understand the development of medical image *** particular,we review recent advances in retinal image registration,which has not attracted much *** addition,current challenges in retinal image registration are discussed and insights and prospects for future research provided.

关键词： computer-aided diagnosis Medical image registration Deep learning Generative model Transformer Retina

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Effectiveness of MPI in Java

Effectiveness of MPI in Java

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第三届运筹学及其应用国际研讨会

作者： Gilbert H.F.Young Lai-man Wan Vincent S.Yiu Department of Computing Hong Kong Polytechnic University High Performance Computing Laboratory Department of Computer Science & Engineering The Chinese University of Hong Kong

The proliferation of the high-speed network and powerful workstation has narrowed the performance gap between workstation clusters and *** draws significant attention of using Network of Workstations(NOW) environment as parallel computing platform. Message Passing Interface(MPI) has been proposed as a standard for interprocess communication in message-passing parallel ***, it has language bindings for C,C++ and *** the Java technology appears to be able to unify the exist heterogeneous environment into one,we have implemented MPI in Java to exploit its usage in parallel computing *** this paper,we discuss the effectiveness of implementing MPI using *** also present some experimental results of our system called Java Message Passing Interface(JMPI).

关键词： Effectiveness of MPI in Java MPI

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How to Steal CPU Idle Time When Synchronous I/O Mode Becomes Promising 24

How to Steal CPU Idle Time When Synchronous I/O Mode Becomes...

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61st ACM/IEEE Design Automation Conference, DAC 2024

作者： Wu, Chun-Feng Chang, Yuan-Hao Yang, Ming-Chang Kuo, Tei-Wei Department of Computer Science National Yang Ming Chiao Tung University Taiwan Institue of Information Science Academia Sinica Taiwan Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong Department of Computer Science and Information Engineering National Taiwan University Taiwan High Performance and Scientific Computing Center National Taiwan University Taiwan Delta Electronics Taiwan

ISBN: (纸本)9798400706011

The advent of Ultra-Low-Latency storage devices has narrowed the performance gap between storage and CPU in computing platforms, facilitating synchronous I/O adoption. Yet, this approach introduces substantial busy waiting time and underutilizes computing units. To address this, we propose a light-weighted Idle-Time-Stealing (ITS) design. This involves a self-improving thread conducting prefetching for high-priority processes during synchronous I/O, and an I/O-waiting process continuing subsequent instruction executions when justifiable. Another thread, the self-sacrificing thread, proactively switches low-priority process I/O requests from synchronous to asynchronous mode, prioritizing high-priority executions. Experimental results demonstrate the effectiveness of our ITS design in reducing CPU idle time. © 2024 Copyright is held by the owner/author(s). Publication rights licensed to ACM.

关键词： Data storage equipment

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A novel method for computing admittances of radial line slot antennas

A novel method for computing admittances of radial line slot...

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2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting

作者： Feng, Zhuo Li, Le-Wei Li, Er-Ping Yeo, Tat Soon Department of Electrical and Computer Engineering National University of Singapore Kent Ridge Singapore 119260 Singapore Computational Electronics and Electromagnetics Division Institute of High Performance Computing Science Park II Singapore 117528 Singapore

ISBN: (纸本)0780388836

In this paper, a new technique is proposed to analyse the mutual admittance between the slots of the radial line slot antennas (RLSA). No Green's functions are required since the mutual and self admittance of the slot is obtained by computing the mutual impedance between the dipoles and their images due to the parallel plates. The numbers of the images to be computed for a desired accuracy are discussed while the mutual admittance of several kinds of slot arrangements are displayed. © 2005 IEEE.

关键词： Slot antennas

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SOCA-DOM:A Mobile System-on-Chip Array System for Analyzing Big Data on the Move

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Journal of computer science & Technology 2022年第6期37卷 1271-1289页

作者： Le-Le Li Jiang-Yi Liu Jian-Ping Fan Xue-Hai Qian Kai Hwang Yeh-Ching Chung Zhi-Bin Yu Center for Heterogeneous and Intelligent Computing Shenzhen Institutes of Advanced Technology Chinese Academy of SciencesShenzhen 518055China School of Science and Engineering The Chinese University of Hong KongShenzhenShenzhen 518172China Center for High Performance Computing Shenzhen Institutes of Advanced TechnologyChinese Academy of Sciences Shenzhen 518055China Ming Hsieh Department of Electrical and Computer Engineering University of Southern CaliforniaLos Angeles CA 90089-0001U.S.A. Department of Computer Science University of Southern CaliforniaLos AngelesCA 90089-0001U.S.A. School of Data and Science The Chinese University of Hong KongShenzhenShenzhen 518172China

Recently,analyzing big data on the move is *** requires that the hardware resource should be low volume,low power,light in weight,high-performance,and highly scalable whereas the management software should be flexible and consume little hardware *** meet these requirements,we present a system named SOCA-DOM that encompasses a mobile system-on-chip array architecture and a two-tier“software-defined”resource manager named ***,we design an Ethernet communication board to support an array of mobile ***,we propose a two-tier software architecture for Chameleon to make it ***,we devise data,configuration,and control planes for Chameleon to make it“software-defined”and in turn consume hardware resources on ***,we design an accurate synthetic metric that represents the computational power of a computing *** employ 12 Apache Spark benchmarks to evaluate ***,SOCA-DOM consumes up to 9.4x less CPU resources and 13.5x less memory than Mesos which is an existing resource *** addition,we show that a 16-node SOCA-DOM consumes up to 4x less energy than two standard Xeon *** on the results,we conclude that an array architecture with fine-grained hardware resources and a software-defined resource manager works well for analyzing big data on the move.

关键词： edge computing mobile architecture resource management big data analytics software-defined systems

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Analyzing the robustness of dynamic loop scheduling for heterogeneous computing systems

Analyzing the robustness of dynamic loop scheduling for hete...

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2012 11th International Symposium on Parallel and Distributed computing, ISPDC 2012

作者： Srivastava, Srishti Sukhija, Nitin Banicescu, Ioana Ciorba, Florina M. Mississippi State University Department of Computer Science and Engineering Mississippi State MS 39762 United States Technische Universität Dresden Center for Information Services and High Performance Computing 01062 Dresden Germany

ISBN: (纸本)9780769548050

Scheduling scientific applications in parallel on non-dedicated, heterogeneous systems, where the computing resources may differ in availability, is a challenging task, and requires efficient execution and robust scheduling methods. Dynamic loop scheduling methods provide means to achieve the desired robust performance. These methods are based on probabilistic analyses and are inherently robust. However, a methodology is required to measure the robustness of the dynamic loop scheduling methods that ensures their performance in unpredictably changing computing environments. In this paper, a methodology is proposed for performing robustness analysis of the dynamic loop scheduling techniques using a metric, formulated in earlier work, to measure their robustness in heterogeneous computing systems with uncertainties. The dynamic loop scheduling methods have been implemented in a simulation. The experimental results were used as an input to the proposed methodology, which in turn has been used to experimentally analyze the robustness of a number of dynamic loop scheduling methods on a heterogeneous system with variable availability. © 2012 IEEE.

关键词： Uncertainty analysis

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G-BLAST: a grid-based solution for mpiBLAST on computational grids

G-BLAST: a grid-based solution for mpiBLAST on computational...

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IEEE Region 10 International Conference TENCON

作者： Chao-Tung Yang Tsu-Fen Han Heng-Chuan Kan High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung Taiwan National Center for High-performance Computing Southern Business Unit Tainan Taiwan

The researches of bioinformatics have grown with each passing day so that more and more computing power is required for better performance. These requires usually solved by parallelism techniques, because cluster technology can reduce the execution time and increase alignment efficiency. For example, mpiBLAST is a parallelism solution of NCBI BLAST via MPI parallel programming. However, most laboratories can not build up powerful supercomputing environments. They usually connect dozen of personal computers to build cluster computing environments. Besides, cluster usually is limited by local environment that leads to extend equipments difficulty. The concepts of grid can solve these problems. Grid environments coordinate the resources of distributed virtual organizations and satisfy a great many computational demands. In this paper, we have deployed a biogrid framework called G-BLAST. G-BLAST was designed for sequence alignment to use grid environment and access mpiBLAST application from a server node. Because grid environment is a heterogeneous environment, G-BLAST is endowed with selection the most adaptive work nodes, dynamic fragmenting database, and self-adjust performance data abilities. Furthermore, we also deployed a grid service portal and a grid service GUI desk application for normal users to submit jobs and host administrators to maintain their own work nodes, and the interaction between this application and G-BLAST meets WSRF standards.

关键词： Grid computing Bioinformatics Biology computing Databases Sequences Microcomputers Application software Concurrent computing Distributed computing Power engineering computing

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Parallel Extended Kalman Filter Approach for Neural Network Learning and Data Cleaning

Parallel Extended Kalman Filter Approach for Neural Network ...

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第三届运筹学及其应用国际研讨会

作者： Wing-kay Kan Gilbert H.Young John Sum High Performance Computing Laboratory Department of Computer Science and Engineering Chinese University of Hong Kong Department of Computing Hong Kong Polytechnic University

In this paper,an extended Kalman filter（EKF） based training and data cleaning algorithm for neural network which can simultaneously train a neural network with good generalization and recover the original data from noise will be *** with the standard recursive least square（RLS） training approach,it is demonstrated that the proposed algorithm can have a better generalization *** also present in this paper a parallel algorithm for the implementation of this EKF based training method onto a SIMD *** a n processors SIMD machine together with this parallel algorithm,the time required for one-step update can be reduced by an order of n,where n is the total number of hidden units,compared with using single sequential machine.

关键词： Gaussian Kalman Parallel Extended Kalman Filter Approach for Neural Network Learning and Data Cleaning Filter

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Ultrasan version 3: Architecture, features, and implementation 10th

Ultrasan version 3: Architecture, features, and implementati...

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10th computing in Aerospace Conference, 1995

作者： Sanders, W.H. Obal, W.D. Qureshit, M.A. Widjanarkot, F.K. Center for Reliable and High-Performance Computing Coordinated Science Laboratory University of Illinois at Urbana-Champaign UrbanaIL61801 United States Dept of Electrical and Computer Engineering University of Arizona TucsonAZ85721 United States

This paper describes version three of UltraSAN, a software environment for the performance, dependability, and performability evaluation of computer networks and systems. The package makes use of both analytic-and simulation-based solution methods using a single, high-level, representation known as stochastic activity networks. Version three, just completed, contains significant enhancements, relative to the earlier versions, in model specification, construction, and solution. © 1995, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Stochastic systems

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Human-cyber-physical systems:concepts,challenges,and research opportunities

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Frontiers of Information Technology & Electronic engineering 2020年第11期21卷 1535-1553页

作者： Zhiming LIU Ji WANG RISE-Centre for Research and Innovation in Software Engineering School of Computer and Information ScienceSouthwest UniversityChongqing 400715China State Key Laboratory for High Performance Computing School of ComputerNational University of Defense TechnologyChangsha 410073China

In this perspective article,we first recall the historic background of human-cyber-physical systems(HCPSs),and then introduce and clarify important *** discuss the key challenges in establishing the scientific foundation from a system engineering point of view,including(1)complex heterogeneity,(2)lack of appropriate abstractions,(3)dynamic black-box integration of heterogeneous systems,(4)complex requirements for functionalities,performance,and quality of services,and(5)design,implementation,and maintenance of HCPS to meet *** we propose four research directions to tackle the challenges,including(1)abstractions and computational theory of HCPS,(2)theories and methods of HCPS architecture modelling,(3)specification and verification of model properties,and(4)software-defined *** article also serves as the editorial of this special section on cyber-physical systems and summarises the four articles included in this special section.

关键词： Abstractions Architecture modelling Evolution Software-defined technology

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