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检索条件"任意字段=21st International Symposium on Computer Architecture and High Performance Computing"

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Short cycle conversion scheduling model for flexilink architecture 21

Short cycle conversion scheduling model for flexilink archit...

引用

21st IEEE international Conference on high performance computing and Communications, 17th IEEE international Conference on Smart City and 5th IEEE international Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Guo, Yi Liu, Jing Wang, Yonghao Hu, Wei College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China Digital Media Technology Lab Birmingham City University BirmingHam United Kingdom

ISBN: (纸本)9781728120584

Nowadays, most of the data traffic on the Internet is audio and video content, such as streaming media, Internet TV and so on. high-quality interactive multimedia content requires a high-quality real-time network. The traditional network protocol cannot meet all of the low latency, reliability, and time deterministic requirements for real-time data transmission. Furthermore, the currently packet-switched network cannot avoid the disadvantages of delay, large overhead, and time uncertainty. Flexilink is a kind of new dynamic time division multiplexing protocol architecture that provides a low-latency, unified network infrastructure for real-time traffic and traditional best-effort traffic. Based on the Flexilink protocol, this paper proposes a new data flow scheduling model called 'Short Cycle Conversion (SCC)' to further ensure deterministic transmission and low latency. Experimental results show that SCC provides better real-time performance than the existing RMS and NP-RMS algorithms and can meet requirements of professional multimedia data transmission. © 2019 IEEE.

关键词： Data transfer

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Challenges of Research Data Management for high performance computing 1

引用

21st international Conference on Theory and Practice of Digital Libraries (TPDL)

作者： Schembera, Bjoern Boenisch, Thomas Univ Stuttgart High Performance Comp Ctr Stuttgart HLRS Nobelstr 19 D-70569 Stuttgart Germany

ISBN: (数字)9783319670089

ISBN: (纸本)9783319670089;9783319670072

This paper targets the challenges of research data management with a focus on high performance computing (HPC) and simulation data. Main challenges are discussed: The Big Data qualities of HPC research data, technical data management, organizational and administrative challenges. Emerging from these challenges, requirements for a feasible HPC research data management are derived and an alternative data life cycle is proposed. The requirement analysis includes recommendations which are based on a modified OAIS architecture: To meet the HPC requirements of a scalable system, metadata and data must not be stored together. Metadata keys are defined and organizational actions are recommended. Moreover, this paper contributes by introducing the role of a Scientific Data Manager, who is responsible for the institution's data management and taking stewardship of the data.

关键词： Research data management HPC Simulation Big data Archive OAIS Metadata Data life cycle

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ETCS: An efficient traffic congestion scheduling scheme combined with edge computing 21

ETCS: An efficient traffic congestion scheduling scheme comb...

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作者： Cao, Ao Fu, Bin He, Zhenqian College of Computer S Cienceand Electronic Engineering Hunan University ChangSha China

ISBN: (纸本)9781728120584

Traffic congestion will not only cause major economic losses to the city, but also cause environmental pollution. Efficient traffic congestion scheduling is one of the key technologies for intelligent transportation. This work presents an efficient traffic congestion scheduling scheme (ETCS), which combined with edge computing. In this scheme, firstly, we designed a ITS architecture combining edge computing, which migrate computing and storage tasks from the cloud to the edge of the network, so as to meet the characteristics of low latency in computing and transmission;Secondly, we propose a method to actively detect and distribute traffic accidents, which improves the response efficiency of congestion processing;Finally, we propose a re-routing algorithm based on probabilistic selection function, which combines the low latency and real-time decision of the edge computing to quickly calculate new alternative routes for vehicles in the congestion area so as to optimize the overall road network condition. Simulation results show the effectiveness of ETCS. When compared to original vehicular mobility trace, the system reduced the average travel time in approximately 39% and the overall CO-2 emissions in 18%. © 2019 IEEE.

关键词： Traffic congestion

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Parallel Java: A unified API for shared memory and cluster parallel programming in 100% Java

Parallel Java: A unified API for shared memory and cluster p...

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21st international Parallel and Distributed Processing symposium, IPDPS 2007

作者： Kaminsky, Alan Rochester Institute of Technology Department of Computer Science Rochester NY 14623 United States

ISBN: (纸本)1424409101

Parallel Java is a parallel programming API whose goals are (1) to support both shared memory (thread-based) parallel programming and cluster (message-based) parallel programming in a single unified API, allowing one to write parallel programs combining both paradigms;(2) to provide the same capabilities as OpenMP and MPI in an object oriented, 100% Java API;and (3) to be easily deployed and run in a heterogeneous computing environment of single-core CPUs, multi-core CPUs, and clusters thereof. This paper describes Parallel Java's features and architecture;compares and contrasts Parallel Java to other Java-based parallel middleware libraries;and reports performance measurements of Parallel Java programs. © 2007 IEEE.

关键词： Parallel programming

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Differentiated Failure Remediation with Action Selection for Resilient computing 21

Differentiated Failure Remediation with Action Selection for...

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IEEE 21st Pacific Rim international symposium on Dependable computing (PRDC 2015)

作者： Huang, Song Fu, Song DeBardeleben, Nathan Guan, Qiang Xu, Cheng-Zhong Univ North Texas Dept Comp Sci & Engn Denton TX 76203 USA Los Alamos Natl Lab Ultrascale Syst Res Ctr High Performance Syst Integrat Los Alamos NM USA Wayne State Univ Dept Elect & Comp Engn Detroit MI USA

ISBN: (纸本)9781467393768

As the fault frequency is increasing with the component count in modern and future computer systems, resilience becomes increasingly critical. Existing work on anomaly detection and fault prediction enables failure avoidance techniques to circumvent fault effects proactively. In addition, traditional fault tolerance techniques can be applied to handle faults reactively. Different types of faults may affect different components of a system and have various manifestations. They need to be treated differently. However, the existing fault handling techniques uniformly treat all faults without considering their types and distinct properties. In this paper, we present a differentiated fault remediation framework with action selection (DFRAS) which integrates both preventive and reactive remediation actions differentiated for different types of faults with their urgency requirements. We investigate four major types of faults and identify candidate remediation actions. We apply the urgency requirements as constraints for action selection. We propose formal performance models to quantify the wasted time of the candidate actions, and develop a decision making method to select the best actions that minimize the overall remediation cost. We have implemented a prototype of DFRAS and evaluated its performance by simulations and experiments. Simulation and experimental results show that the integrated fault remediation strategies can significantly reduce the remediation overhead. The developed DFRAS system is lightweight, making it feasible for online fault management in large-scale systems.

关键词： Decision making

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Xevolver: An XML-based Code Translation Framework for Supporting HPC Application Migration 21

Xevolver: An XML-based Code Translation Framework for Suppor...

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21st international Conference on high performance computing (HiPC)

作者： Takizawa, Hiroyuki Hirasawa, Shoichi Hayashi, Yasuharu Egawa, Ryusuke Kobayashi, Hiroaki Tohoku Univ Sendai Miyagi 9808579 Japan CREST Japan Sci & Technol Agcy Tokyo Japan NEC Corp Ltd Tokyo Japan

ISBN: (纸本)9781479959754

This paper proposes an extensible programming framework to separate platform-specific optimizations from application codes. The framework allows programmers to define their own code translation rules for special demands of individual systems, compilers, libraries, and applications. Code translation rules associated with user-defined compiler directives are defined in an external file, and the application code is just annotated by the directives. For code transformations based on the rules, the framework exposes the abstract syntax tree (Ast) of an application code as an XML document to expert programmers. Hence, the XML document of an Ast can be transformed using any XML-based technologies. Our case studies using real applications demonstrate that the framework is effective to separate platform-specific optimizations from application codes, and to incrementally improve the performance of an existing application without messing up the code.

关键词： Codes XML document Frameworks Ast compilers computer personnel standing Orders high performance computing

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The stratus architecture

The Stratus architecture

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21st international symposium on Fault-Tolerant computing

作者： Webber, steve Beirne, John Stratus Computer Inc

ISBN: (纸本)0818621508

An overview is given of the architecture of the stratus fault-tolerant computer systems, which were the first to use hardware alone to provide fault tolerance in the commercial marketplace. The power subsystem, system boards, and off-board I/O interface buses are examined in some detail. Recovery scenarios and the stratus service approach are described.

关键词： computer Systems, Digital

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highly efficient breadth-first search on CPU-based single-node system 21

Highly efficient breadth-first search on CPU-based single-no...

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作者： Zhang, Chenglong Cao, Huawei Ye, Xiaochun Wang, Guobo Hao, Qinfen Fan, Dongrui State Key' Laboratoiy of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9781728120584

With the rapid development of computer technology, the scale of graph increases explosively and large-scale graph computing has been the focus in recent years. Breadth-First Search (BFS) is one of the most important kernels in graph computing. It is the main kernel of the Graph500 benchmark that evaluates the performance of supercomputers and servers in terms of data-intensive applications. In this paper, we implement a highly efficient parallel BFS on CPU-based single-node systems. We propose two algorithm optimization techniques: round-robin vertex shuffle and jumping access. The former can improve the load balance for parallel implementation, while the latter can reduce unnecessary data accesses in the bottom-up algorithm. Our new implementation demonstrates strong scalability and achieves 65.2 GTEPS for Kronecker graph with 2 30 vertices and 2 34 edges on a 4-way Xeon server. The speedup is nearly 12.8 times faster than the original direction-optimizing algorithm. In terms of energy efficiency, the result on our self-designed ARM server is 254.6 MTEPS/W and is superior to conventional x86 server. To our best knowledge, this is the first work that evaluates BFS performance on ARM server and ARM server is suitable for data-intensive applications such as large-scale graph processing. © 2019 IEEE.

关键词： Supercomputers

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high performance computing based on a Smart Grid approach 21

High Performance Computing based on a Smart Grid approach

引用

21st international Conference on Control Systems and computer Science (CSCS)

作者： Vulcan, Alexandru Mihai Nicolae, Maximilian Univ Politehn Bucuresti Dept Ind Informat & Automat Control Bucharest Romania

ISBN: (纸本)9781538618394

high performance computing (HPC) facilities serve as infrastructure for solving demanding computational problems met in various domains. HPC involves expensive resources both material and operational. Therefore, leveraging its operation at his peak capacity is very important from economic efficiency perspective. Nowadays, it is very difficult for a regular researcher that needs HPC services to have ease of access to such resources. With the work presented in this paper we propose and evaluate a different approach to HPC service by mapping the problem on the same bases as smart grid philosophy. Mainly, the same as smart grid tries to increase the efficiency of resource utilization together with the concept of co-generation, our proposed model tries to link powerful computational resources own by domestic user into a smart HPC service with for profit objectives.

关键词： HPC service GPU virtualization energy consumption

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An efficient sort-based DDM matching algorithm for HLA applications with a large spatial environment 07

An efficient sort-based DDM matching algorithm for HLA appli...

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21st international Workshop on Principles of Advanced and Distributed Simulation (PADS 2007)

作者： Pan, Ke Turner, stephen John Cai, Wentong Li, Zengxiang Nanyang Technol Univ Sch Comp Engn Parallel & Distributed Comp Ctr Singapore 639798 Singapore

ISBN: (纸本)9780769528984

Simulation is a low cost and safe alternative to solve complex problems in various areas. To promote reuse and interoperability of simulation applications and link geographically dispersed simulation components, distributed simulation was introduced. The high Level architecture (HLA) is the IEEE standard for distributed simulation. To optimize communication efficiency between simulation components, HLA defines a Data Distribution Management (DDM) service group for filtering out unnecessary data exchange. It relies on the computation of overlap between update and subscription regions, which is called matching. In this paper we propose an efficient sort-based DDM matching algorithm for HLA applications with a large spatial environment. A theoretical analysis of our algorithm concludes that it should have good storage and computational scalability. The experimental results have verified the theoretical conclusions by showing that our algorithm has much less storage requirement than the original sort-based matching algorithm and generally has the best computational performance when compared with region-based and the original sort-based matching algorithms.

关键词： Distributed decision making Computational modeling Subscriptions Routing Costs Distributed computing computer architecture Filtering Concurrent computing Algorithm design and analysis

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