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检索条件"任意字段=International Symposium on Software Engineering for Parallel and Distributed Systems"

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A hardware/software co-design method of ITS image processing development

A hardware/software co-design method of ITS image processing...

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international Conference on parallel and distributed systems (ICPADS)

作者： Y. Endo H. Koizumi Department of Computer and Systems Engineering Tokyo Denki University Tokyo Japan

A hardware and software co-design method for the image processing system of intelligent transport systems (ITS) is proposed. The objective of this method is to optimize the division of functions between hardware and software by the optimum tradeoff. In this method, the targeted overall system is first modeled by software, and then functions and structures are adjusted. The performance of each function of software and hardware in the model is evaluated by simulation, and the optimized division of functions between hardware and software is obtained. Each functionally divided process of hardware and software is re-designed and fine-tuned and then operations are verified by the co-design test board in order to quickly design and construct a system which satisfies the design objectives. The ITS image processing development area is chosen as an application example for this method and its effectiveness is verified by evaluating the construction of a safe driving support system.

关键词： Hardware Image processing software performance Design methodology Embedded system Embedded software Application software Costs systems engineering and theory Intelligent systems

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Helping Faculty Teach software Performance engineering

Helping Faculty Teach Software Performance Engineering

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IEEE international symposium on parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： John D. Owens Bruce Hoppe Dept. of Electrical & Computer Engr. University of California Davis Davis California USA Connective Associates Arlington Massachusetts USA

ISBN: (数字)9798350364606

ISBN: (纸本)9798350364613

Over the academic year 2022–23, we discussed the teaching of software performance engineering with more than a dozen faculty across North America and beyond. Our outreach was centered on research-focused faculty with an existing interest in this course material. These discussions revealed an enthusiasm for making software performance engineering a more prominent part of a curriculum for computer scientists and engineers. Here, we discuss how MIT's longstanding efforts in this area may serve as a launching point for community development of a software performance engineering curriculum, challenges in and solutions for providing the necessary infrastructure to universities, and future directions.

关键词： Industries Computer science distributed processing Conferences Government Education Clustering algorithms

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Accommodating bursts in distributed stream processing systems

Accommodating bursts in distributed stream processing system...

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international symposium on parallel and distributed Processing (IPDPS)

作者： Yannis Drougas Vana Kalogeraki Department of Computer Science and Engineering University of California Riverside USA Department of Informatics Athens University of Economics and Business Greece

ISBN: (纸本)9781424437511

Stream processing systems have become important, as applications like media broadcasting, sensor network monitoring and on-line data analysis increasingly rely on real-time stream processing. Such systems are often challenged by the bursty nature of the applications. In this paper, we present BARRE (Burst Accommodation through Rate REconfiguration), a system to address the problem of bursty data streams in distributed stream processing systems. Upon the emergence of a burst, BARRE dynamically reserves resources dispersed across the nodes of a distributed stream processing system, based on the requirements of each application as well as the resources available on the nodes. Our experimental results over our Synergy distributed stream processing system demonstrate the efficiency of our approach.

关键词： Streaming media Telecommunication traffic Data analysis Monitoring Availability Time factors Chemical sensors Resource management Computer science Data engineering

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PrimAndroid: Privacy policy modelling and analysis for android applications

PrimAndroid: Privacy policy modelling and analysis for andro...

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作者： Benats, Guillaume Bandara, Arosha Yu, Yijun Colin, Jean-Noël Nuseibeh, Bashar Centre for Research in Computing Department of Computing The Open University Milton Keynes MK10 9FG United Kingdom Faculty of Computer Sciences FUNDP Namur Belgium Lero Irish Software Engineering Centre Ireland

ISBN: (纸本)9780769543307

The rapid growth of mobile applications has imposed new threats to privacy: users often find it challenging to ensure that their privacy policies are consistent with the requirements of a diverse range of of mobile applications that access personal information under different contexts. This problem exacerbates when applications depend on each other and therefore share permissions to access resources in ways that are opaque to an end-user. To meet the needs of representing privacy requirements and of resolving dependencies issues in privacy policies, we pro-pose an extension to the P-RBAC model for reasoning about plausible scenarios that can exploit such weaknesses of mobile systems. This work has been evaluated using the case studies on several Android mobile applications. © 2011 IEEE.

关键词： Android (operating system)

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Hierarchical Data-driven Predictive Control Strategy for Energy Management of Electric Vehicles 21

Hierarchical Data-driven Predictive Control Strategy for Ene...

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21st IEEE international symposium on parallel and distributed Processing with Applications, 13th IEEE international Conference on Big Data and Cloud Computing, 16th IEEE international Conference on Social Computing and Networking and 13th international Conference on Sustainable Computing and Communications, ISPA/BDCloud/SocialCom/SustainCom 2023

作者： Chen, Bin He, Guo Zhou, Feng Huang, Hao Liu, Wei Du, Ronghua Changsha University of Science and Technology College of Automotive and Mechanical Engineering Changsha China Changsha University of Science and Technology College of Electrical and Information Engineering Changsha China

ISBN: (纸本)9798350329223

For electric vehicles (EVs) equipped with hybrid energy storage systems (HESS), a challenge is reasonably distributing and optimizing load power. To optimize the performances of the vehicle power and battery capacity, This paper introduces an innovative data-driven Energy Management Strategy (EMS) designed for HESS, which combines a hierarchical strategy of fuzzy neural network (FNN) and data-enabled predictive control (DeePC). At the driving level, FNN predicts load power demand by collecting historical speed and acceleration information along with current data. At the energy management level, the EMS adopts a novel data-enabled model, which collects the load power predicted by an upper layer. The DeePC achieves power distribution by controlling the supercapacitor current while maintaining the state of charge (SoC) within the expected range. The simulation results verify the effectiveness of the developed EMS. Compared with long-short term memory (LSTM), artificial neural network (ANN), and support vector regression (SVR), FNN demonstrates the best-fitting performance, while the prediction results are closer to the actual load power. Compared with model predictive control (MPC), the proposed DeePC approximately reduces battery capacity loss by 0.15% and demonstrates well control performance. © 2023 IEEE.

关键词： Electric vehicles

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Performance evaluation of gang scheduling in distributed real-time systems with possible software faults

Performance evaluation of gang scheduling in distributed rea...

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international symposium on Performance Evaluation of Computer & Telecommunication systems SPECTS

作者： Georgios L. Stavrinides Helen D. Karatza Department of Informatics Aristotle University of Thessaloniki Thessaloniki Greece

ISBN: (纸本)9781424434497

distributed real-time systems play an increasingly vital role in our daily life. The most important aspect of such systems is the scheduling algorithm, which must guarantee that every job in the system will meet its deadline. In this paper we evaluate by simulation the performance of strategies for the scheduling of parallel jobs (gangs) in a homogeneous distributed real-time system with possible software faults. We provide an alternative version for each scheduling policy, which allows imprecise computations, and we propose a performance metric applicable to our problem. Our simulation results show that the alternative versions of the algorithms exhibit promising performance.

关键词： Real time systems software performance software systems Processor scheduling Scheduling algorithm Computational modeling Fault tolerant systems Control systems Dynamic scheduling Informatics

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ParSocial 2016 Keynote

ParSocial 2016 Keynote

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IEEE international symposium on parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： George Cybenko Dartmouth College Hanover NH US

ISBN: (纸本)9781509036837

This talk will review several fundamental and general ideas surrounding decentralized algorithms and how they occur in a variety of computing and engineering fields. Of specific interest are convergence rates and limitations on asynchronicity which will be reviewed. Several applications of and implications for social systems simulation and modeling will be presented and conjectured. This talk will begin with tutorial material and lead to some recent research results and problems.

关键词： Signal processing algorithms distributed processing Conferences Convergence systems simulation Computational modeling Tutorials

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Coordinated checkpoint from message payload in pessimistic sender-based message logging 06

Coordinated checkpoint from message payload in pessimistic s...

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international symposium on parallel and distributed Processing (IPDPS)

作者： M. Aminian M.K. Akbari B. Javadi Department of Computer Engineering and Information Technology Amirkabir University of Technology슠 Tehran Iran

ISBN: (纸本)9781424400546

Execution of MPI applications on clusters and grid deployments suffers from node and network failure that motivates the use of fault tolerant MPI implementations. Two category techniques have been introduced to make these systems fault-tolerant. The first one is checkpoint-based technique and the other one is called log-based recovery protocol. Sender-based pessimistic logging which falls in the second category is harnessing from huge amount of messages payloads which must be kept in volatile memory. In this paper, we present a coordinated checkpoint from message payload (CCMP) to reduce the aforementioned overhead. The proposed method was examined by MPICH-V2, a public domain platform implementing pessimistic logging with uncoordinated checkpoint. Experimental results demonstrated the reduction of run-time for NPB benchmarks in both fault-free and faulty environments.

关键词： Payloads Protocols Checkpointing Java Computer networks Application software Fault tolerant systems distributed computing Intelligent networks Grid computing

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Operation synchronization technique on pipeline-based hardware synthesis applying stream-based computing framework

Operation synchronization technique on pipeline-based hardwa...

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2013 IEEE 37th Annual Computer software and Applications Conference, COMPSAC 2013

作者： Yamagiwa, Shinichi Watanabe, Ryoyu Wada, Koichi Faculty of Engineering Information and Systems Dept. of Computet Science University of Tsukuba 1-1-1 Tennodai Tsukuba Ibaraki Japan

ISBN: (纸本)9780769549798

Increasing the needs for real-time processing of information flood from environment surrounded us acquired by the advanced sensing technologies, any application acquiring such information requires a processing ability for large input dataflow that must be processed within a restricted short time. In order to achieve the required processing performance, we often consider pipeline-based hardware implementation. The timing for activating operators for input data in the design must be scheduled carefully arranging the timings for I/O among operators. However, when we need to revise the algorithm itself or any parameters, it is very hard to reschedule the activation timings of operators considering the design goals regarding the maximum frequency and the resource size. This paper shows a technique to schedule operation timings synchronizing the input data in a processing pipeline of hardware applying the stream-based computing framework using OpenCL kernel description. This paper especially proposes a new compiler-based approach for synthesizing the pipeline-based hardware applying a novel technique for calculating the timings at the operators' activation called the Pipeline Timing Adjustment (PTA). This paper mainly discusses the algorithm of the PTA and show the effect of the algorithm. © 2013 IEEE.

关键词： Pipelines

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Improving the Separation of parallel Code in Skeletal systems

Improving the Separation of Parallel Code in Skeletal System...

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international symposium on parallel and distributed Computing

作者： Diogo Telmo Neves João Luís Sobral Departmento de Informática Universidade do Minho Portugal

ISBN: (纸本)9781424444106

This paper describes how to improve separation between domain-specific code and parallel code in skeletal systems. Traditionally, the code used to exploit parallelism is tangled among domain-specific code, which leads to problems such as: poor maintainability, lower flexibility, and weak scalability. In this paper we introduce the design of the YaSkel framework, which is a support tool to write parallel programs. We argue that the design of YaSkel framework allows more freedom to change the parallelization strategy when compared with traditional skeleton frameworks. To change the parallelization strategy we rely on DI - Dependency Injection - to inject a reference of a specific skeleton in latter development stages. We also show that AOP - Aspect Oriented Programming - could be used to minimize the impact of applying skeleton based approaches to legacy code.

关键词： Skeleton parallel processing parallel programming Application software distributed computing Scalability Productivity Multicore processing Hardware Programming profession

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