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共 4887 条记录，以下是241-250 订阅

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Workshop 17: PAISE parallel AI and systems for the Edge

Workshop 17: PAISE Parallel AI and Systems for the Edge

引用

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

作者： Pete Beckman Rajesh Sankaran Mathematics and Computer Science Division Argonne National Laboratory USA

ISBN: (数字)9781728174457

ISBN: (纸本)9781728174570

Applications involving voluminous data but needing low-latency computation and local feedback require that the computing be performed as close to the data source as possible — often at the interface to the physical world. Communication constraints and the need for privacy-preserving approaches also dictate the need for computing at the edge. Given the growth in such application scenarios and the recent advances in algorithms and techniques, machine learning and inference at the edge are unfolding and growing at a rapid pace. In support of these applications, a wide range of hardware (CPUs, GPUs, ASICs) is venturing farther away from the center, closer to the physical world. The resulting diversity in edgecomputing hardware in terms of capabilities, architectures, and programming models poses several new challenges.

关键词： Conferences Hardware distributed databases Computer security Mathematics Computer science distributed processing

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Applying distributed application global states monitoring to speculative query processing in RDBMS

Applying distributed application global states monitoring to...

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international symposium on parallel and distributed Computing

作者： Anna Sasak-Okoń Marek Tudruj University of Maria Curie-Skłodowska Lublin Poland Polish-Japanese Academy of Information Technology Institute of Computer Science Polish Academy of Sciences Warsaw Poland

ISBN: (数字)9781728189468

ISBN: (纸本)9781728189475

The paper is concerned with the methodology for speculative query execution support in distributed Relational Database Management systems (RDBMS). The proposed approach is based on the analysis of the multigraph representations of the stream of input queries arriving to a RDBMS. As a result, the optimized set of speculative queries is found to support execution of current queries. The speculative query results are used to speed-up execution of the query input stream. The paper presents how the proposed speculative query execution approach can be implemented inside a novel distributed program design framework PEGASUS DA in which program execution decisions are taken based on the system-supported monitoring of the distributed application global states. The paper shows the architecture of the speculative support provided by such framework for the distributed RDBMS and the assumed speculation approach. The implementation issues of the multithreaded distributed support based on the RDBMS SQLite engines are discussed. distributed data synchronization and speculative query execution strategy as well as speculation results distribution are discussed. The proposed approach to distributed implementation of the speculative support to RDBMSs using the PEGASUS DA framework is illustrated on the example of the modifying query handling in a RDBMS facing the presented speculative query support for query execution.

关键词： Monitoring Synchronization Process control Relational databases Computer architecture distributed databases

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Semantic-aware Workflow Construction and Analysis for distributed Data Analytics systems 19

Semantic-aware Workflow Construction and Analysis for Distri...

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28th international symposium on High-Performance parallel and distributed Computing (ACM HPDC)

作者： Pi, Aidi Chen, Wei Wang, Shaoqi Zhou, Xiaobo Univ Colorado Colorado Springs CO 80907 USA

ISBN: (纸本)9781450366700

Logging is a universal approach to recording important events in system workflows of distributed systems. Current log analysis tools ignore the semantic knowledge that is key to workflow construction and analysis. In addition, they focus on infrastructure-level distributed systems. Because of fundamental differences in log features, they are ineffective in distributed data analytics systems. This paper proposes IntelLog, a semantic-aware non-intrusive workflow reconstruction tool for distributed data analytics systems. It is capable of building hierarchical relationships between components and events from logs generated by the targeted systems with little or even no domain knowledge. Leveraging natural language processing, IntelLog automatically extracts and formats semantic information in each log message, including system events, identifiers, locality information, and metrics values. It builds a graph to represent the hierarchical relationship of components in the targeted system via nomenclature conventions. We implement IntelLog for Hadoop MapReduce, Spark and Tez. Evaluation results show that IntelLog provides a fine-grained view of the system workflows with semantics. It outperforms existing tools in automatically detecting anomalies caused by real-world problems, misconfigurations and system bugs. Users can query the formatted semantic knowledge to understand and further troubleshoot the systems.

关键词： log profiling distributed systems natural language processing workflow construction troubleshooting

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A Lyapunov-Function-Based Control Strategy for distributed Generations in Hybrid AC/DC Microgrids 28

A Lyapunov-Function-Based Control Strategy for Distributed G...

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28th IEEE international symposium on Industrial Electronics (IEEE-ISIE)

作者： Seyedalipour, Sajjad Bayhan, Sertac Komurcugil, Hasan KN Toosi Univ Technol Fac Elect Engn Tehran Iran Hamad Bin Khalifa Univ Qatar Environm & Energy Res Inst Doha Qatar Eastern Mediterranean Univ Dept Comp Engn Famagusta Northern Cyprus Turkey

ISBN: (纸本)9781728136660

Microgrids are being emerged increasingly in distributed generation (DG) systems. Instabilities because of dynamic interactions among the power electronic converters available in such systems can be observed. It has been demonstrated that a hybrid network containing a number of power converters can be instable, even though each separate one is stable inherently. Hence, in this paper, a control strategy for parallel voltage-source converters (VSCs) in a hybrid ac/dc microgrid is presented. The proposed strategy is based on Lyapunov function and can guarantee the global asymptotic stability of the whole system simultaneously. The proposed control strategy can be applied to any other multistage converter system. Computer simulations are provided to confirm the analytical results.

关键词： distributed generation voltage-source converter Lyapunov function stability

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Biometric systems with Multiuser Access Structures

Biometric Systems with Multiuser Access Structures

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IEEE international symposium on Information Theory (ISIT)

作者： Chou, Remi A. Wichita State Univ Dept Elect Engn & Comp Sci Wichita KS 67260 USA

ISBN: (纸本)9781538692912

We propose a model for biometric systems with a multiuser access structure, where after enrollment only pre-defined authorized sets of participants are allowed to access the system upon presenting their biometrics. Two types of system design are considered for the enrollment. In the first one, the participants must simultaneously present their biometrics to enroll in the system. In the second one, each participant can individually enroll in the system, which is more convenient for systems with a large number of participants. For these two types of enrollment and the presence of a multiuser access structure, the fundamental trade-off between security and privacy leakage is studied.

关键词： Privacy Decoding Encoding distributed databases Biological system modeling Authentication Indexes

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HPDC 2019- proceedings of the 28th international symposium on High-Performance parallel and distributed Computing

HPDC 2019- Proceedings of the 28th International Symposium o...

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28th ACM international symposium on High-Performance parallel and distributed Computing, HPDC 2019

ISBN: (纸本)9781450366700

The proceedings contain 22 papers. The topics discussed include: SpotWeb: running latency-sensitive distributed web services on transient cloud servers;Parsl: pervasive parallel programming in python;kleio: a hybrid memory page scheduler with machine intelligence;MANA for MPI: MPI-agnostic network-agnostic transparent checkpointing;multi-level analysis of compiler-induced variability and performance tradeoffs;making root cause analysis feasible for large code bases: a solution approach for a climate model;HEXO: offloading HPC compute-intensive workloads on low-cost, low-power embedded systems;scheduling beyond CPUs for HPC;paths to fast barrier synchronization on the node;and combining data duplication and graph reordering to accelerate parallel graph processing.

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proceedings - 2019 IEEE 33rd international parallel and distributed Processing symposium Workshops, IPDPSW 2019

Proceedings - 2019 IEEE 33rd International Parallel and Dist...

引用

33rd IEEE international parallel and distributed Processing symposium Workshops, IPDPSW 2019

ISBN: (纸本)9781728135106

The proceedings contain 112 papers. The topics discussed include: an accurate tool for modeling, fingerprinting, comparison, and clustering of parallel applications based on performance counters;SmarTmem: intelligent management of transcendent memory in a virtualized server;data reliability and redundancy optimization of a secure multi-cloud storage under uncertainty of errors and falsifications;a portable GPU framework for SNP comparisons;towards a methodology for benchmarking edge processing frameworks;a fast local algorithm for track reconstruction on parallel architectures;towards native execution of deep learning on a leadership-class hpc system;improving robustness of heterogeneous serverless computing systems via probabilistic task pruning;and influence of tasks duration variability on task-based runtime schedulers.

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parallel Query Service for Object-centric Data Management systems

Parallel Query Service for Object-centric Data Management Sy...

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

作者： Houjun Tang Suren Byna Bin Dong Quincey Koziol Lawrence Berkeley National Laboratory Berkeley California

ISBN: (数字)9781728174457

ISBN: (纸本)9781728174570

While large-scale scientific experiments and simulations produce massive amounts of data, a small fraction of data contains useful information. Efficient querying on such volume of data to extract that information increases the productivity of the scientific discovery process. Although querying has been explored extensively in relational databases, research and adoption of querying tools for scientific data that is stored in parallel file systems on high performance computing (HPC) systems are still in infancy. In this paper, we introduce a parallel query service, called PDC-Query, for an object data management systems (ODMS) on HPC systems. It operates on partitioned objects in parallel, and provides several optimization strategies for fast query evaluation. The ODMS paradigm for HPC systems is promising in reducing the burden on users in data management and in moving data transparently across the deep memory hierarchy in modern HPC systems. We propose a `global histogram' based approach to accelerate query evaluation, through selectivity estimation and reducing the amount of data that needs to be loaded from storage and processed. We compare querying performance and demonstrate the efficiency and scalability of different approaches PDC-Query supports, including using global histograms, bitmap indexes, sorting, and full scan, in performing various queries on top of a plasma physics dataset with 125 billion particles and an astronomy dataset with 25 million objects.

关键词： Metadata Query processing Servers Histograms Arrays Scalability Indexes

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Toward High Performance Solutions as Services of Research Digital Platform 13

Toward High Performance Solutions as Services of Research Di...

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13th international symposium on Intelligent systems (INTELS)

作者： Zatsarinny, A. A. Gorshenin, A. K. Kondrashev, V. A. Volovich, K. I. Denisov, S. A. Russian Acad Sci Fed Res Ctr Comp Sci & Control Moscow Russia

The issues of offering services for providing resources of high-performance hybrid computer systems in applied and fundamental research within the framework of a unified digital platform are considered. Approaches for providing parallel execution of various tasks in a distributed computing cluster are proposed. The problems of organization of the computing process in the joint use of computing resources of a distributed hybrid cluster and organization of network interaction using software-defined networks are formulated. (C) 2019 The Authors. Published by Elsevier B.V.

关键词： high performance computing cluster digital platform virtualization computational process control distributed computing parallel computing software-defined network graphics accelerator

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Multilevel Checkpoint/Restart for Large Computational Jobs on distributed Computing Resources 38

Multilevel Checkpoint/Restart for Large Computational Jobs o...

引用

IEEE 38th international symposium on Reliable distributed systems (SRDS)

作者： Gholami, Masoud Schintke, Florian Zuse Inst Berlin Berlin Germany

ISBN: (纸本)9781728142227

New generations of high-performance computing applications depend on an increasing number of components to satisfy their growing demand for computation. On such large systems, the execution of long-running jobs is more likely affected by component failures. Failure classes vary from frequent transient memory faults to rather rare correlated node errors. Multilevel checkpoint/restart has been introduced to proactively cope with failures at different levels. Writing checkpoints on slower stable devices, which survive fatal failures, causes more overhead than writing them on fast devices (main memory or local SSD), which, however, only protect against light faults. Given a graph of the components of a particular storage hierarchy mapping their fault-domains and their expected mean time to failure (MTTF), we optimize the checkpoint frequencies for each level of the storage hierarchy (multilevel checkpointing) to minimize the overhead and runtime of a given job. We reduce the checkpoint/restart overhead of large dataintensive jobs compared to state-of-the-art solutions on multilevel checkpointing by up to 10 percent in the investigated cases. The improvement increases further with growing checkpoint sizes.

关键词： Checkpoint Checkpoint/restart Checkpointing distributed computing Exascale Fault tolerance High performance computing Hpc Large jobs Mpi Mttf Multilevel checkpoint restart Multilevel checkpoint/restart parallel programming Supercomputer

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