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1993 IEEE 9th international conference on Data Engineering

1993 IEEE 9th International Conference on Data Engineering

引用

1993 IEEE 9th international conference on Data Engineering

ISBN: (纸本)0818635703

This conference proceedings contains 76 papers from a conference on advances in data engineering theory. Topics discussed include integrity constraints, spatial query processing, object oriented programming languages, database techniques for new engineering applications, main memory management, object oriented programming language implementation, schema and file management, query optimization and evaluation, concurrency control, query languages. federated database systems, temporal query languages, large-object support, object oriented models, parallel query processing, transitive closure and backup, federated object oriented interfaces, transaction synchronization and recovery, database engineering, deductive database implementation, extended serializability, knowledge bases, multidatabase languages, and application modeling.

关键词： Data processing

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Global Iceberg Detection over distributed Data Streams

Global Iceberg Detection over Distributed Data Streams

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26th IEEE international conference on Data Engineering (ICDE)

作者： Zhao, Haiquan (Chuck) Lall, Ashwin Ogihara, Mitsunori Xu, Jun (Jim) Georgia Inst Technol Coll Comp Atlanta GA 30332 USA Univ Miami Dept Comp Sci Oxford OH 45056 USA

ISBN: (纸本)9781424454440

In today's Internet applications or sensor networks we often encounter large amounts of data spread over many physically distributed nodes. The sheer volume of the data and bandwidth constraints make it impractical to send all the data to one central node for query processing. Finding distributed icebergs-elements that may have low frequency at individual nodes but high aggregate frequency-is a problem that arises commonly in practice. In this paper we present a novel algorithm with two notable properties. First, its accuracy guarantee and communication cost are independent of the way in which element counts (for both icebergs and non-icebergs) are split amongst the nodes. Second, it works even when each distributed data set is a stream (i.e., one pass data access only). Our algorithm builds upon sketches constructed for the estimation of the second frequency moment (F-2) of data streams. The intuition of our idea is that when there are global icebergs in the union of these data streams the F-2 of the union becomes very large. This quantity can be estimated due to the summable nature of F-2 sketches. Our key innovation here is to establish tight theoretical guarantees of our algorithm, under certain reasonable assumptions, using an interesting combination of convex ordering theory and large deviation techniques.

关键词： Sensor nodes

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24th international conference on parallel and distributed Computing, applications and Technologies, PDCAT 2023

24th International Conference on Parallel and Distributed Co...

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24th international conference on parallel and distributed Computing, applications and Technologies, PDCAT 2023

ISBN: (纸本)9789819982103

The proceedings contain 28 papers. The special focus in this conference is on parallel and distributed Computing, applications and Technologies. The topics include: Insider Trading Detection Algorithm in Industrial Chain Based on Logistics Time Interval Characteristics;link Attributes Based Multi-service Routing for Software-Defined Satellite Networks;A Fuzzy Logical RAT Selection Scheme in SDN-Enabled 5G HetNets;SSR-MGTI: Self-attention Sequential Recommendation Algorithm Based on Movie Genre Time Interval;fine Time Granularity Allocation Optimization of Multiple Networks Industrial Chains in Task processing Systems;Ε-Maximum Critic Deep Deterministic Policy Gradient for Multi-agent Reinforcement Learning;effective Density-Based Concept Drift Detection for Evolving Data Streams;an End-to-End Multiple Hyper-parameters Prediction Method for distributed Constraint Optimization Problem;Formalization and Verification of the Zab Protocol Using CSP;dynamic Priority Coflow Scheduling in Optical Circuit Switched Networks;Deep Reinforcement Learning Based Multi-WiFi Offloading of UAV Traffic;Triple-Path RNN Network: A Time-and-Frequency Joint Domain Speech Separation Model;design of Query Based Gallery Selector and Mask-Aware Loss for Person Search;a Privacy-Preserving Blockchain Scheme for the Reliable Exchange of IoT Data;R-RPT-A Reliable Routing Protocol for Industrial Wireless Sensor Networks;action Segmentation Based on Encoder-Decoder and Global Timing Information;Security Challenges and Lightweight Cryptography in IoT: Comparative Study and Testing Method for PRESENT-32bit Cipher;The Prediction Model of Water Level in Front of the Check Gate of the LSTM Neural Network Based on AIW-CLPSO;Using MPIs Non-Blocking Allreduce for Health Checks in Dynamic Simulations;parallelizable Loop Detection using Pre-trained Transformer Models for Code Understanding;list-Based Workflow Scheduling Utilizing Deep Reinforcement Learning.

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Continuous k-nearest neighbor queries on multi-core CPUs

Continuous k-nearest neighbor queries on multi-core CPUs

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international conference on Electrical and Control Engineering, ICECE 2010

作者： He, Hui Ying Liao, Wei Wu, Xiao Ping College of Electrical and Information Engineering Naval University of Engineering Wuhan China College of Electronic Engineering Naval University of Engineering Wuhan China

ISBN: (纸本)9780769540313

Modern microprocessors employ multi cores to accelerate computations, and parallelizing multiple queries execution to exploit multi-core parallelism has become a challenge for moving objects database applications. To evaluate massive concurrent queries towards moving objects, parallel processing techniques and cache-conscious algorithms adapting to memory hierarchy and multi-core architecture should be developed to maximize the processor computation abilities and reduce the memory stalls. This paper first presents a distributed moving objects updating strategy to reduce the computing cost of server. Further, in-memory spatial network adjacent matrix, shortest path matrix and hash table structures are introduced to describe the road network topology and store the moving objects. A shortest path based network expansion (SPNE) algorithm is proposed to decrease the processing cost of k nearest neighbor (k-NN) queries by reducing the search network space. For massive k-NN queries evaluation, we use a multi-staged engine, which exploits pipeline strategy and departs the query processing into three simultaneous stages to improve the parallelism with multithreaded technology. And we present a multi-threaded network expansion (MSPNE) algorithm for massive k-NN queries processing. MSPNE algorithm uses threaded workload parallelism and cache-conscious execution reorganization strategies to improve the spatial and temporal locality. Experimental evaluation on a dual-core platform and analysis show that SPNE and MSPNE algorithms achieve a performance improvement over the existing traditional optimization counterparts. © 2010 IEEE.

关键词： Query processing

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Using speculative multithreading for general-purpose applications

Using speculative multithreading for general-purpose applica...

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3rd international Symposium on parallel and distributed processing and applications, ISPA 2005

作者： Yew, Pen-Chung Department of Computer Science and Engineering University of Minnesota United States

ISBN: (纸本)3540297693

As multi-core technology is currently deployed in computer industry primarily for limiting power consumption and improving system throughput, continued performance improvement of a single application on such systems remains an important and challenging task. Using thread-level parallelism (TLP) to improve instruction-level parallelism (ILP), i.e. to improve the number of instructions executed per clock cycle, has shown to be effective for many general-purpose applications. However, because of the program characteristics of these applications, effective speculative schemes at both thread and instruction levels are crucial. In the past few years, we have seen significant progress being made in the architectures and the compiler techniques to support such thread-level speculative execution model. In this talk, we will discuss these architectural and compiler issues, in particular, the compiler techniques that could support speculative multithreading for general-purpose applications. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Multiprocessing programs

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Effective runtime scalability metric to measure productivity in high performance computing systems 08

Effective runtime scalability metric to measure productivity...

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2008 conference on Computing Frontiers, CF'08

作者： Du, Jing Yang, Xuejun Wang, Zhiyuan National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology Changsha Hunan 410073 China

ISBN: (纸本)9781605580777

Current high performance computing systems all rely on parallel processing techniques to achieve high performance. With the parallel computer systems scaling up, the new generation of high performance computers puts more emphasis on "high productivity" [1], rather than "high performance" as in the past. These new systems will not only meet the traditional requirements of computing performance, but also address the ongoing technical challenges in the current high-end computing domain regarding energy consumption, reliability, etc. For energy consumption, with the computer system scaling up, it increases dramatically [2]. High energy consumption means high maintenance cost and low system stability. For example, the peak energy consumption of the Earth Simulator and BlueGene/L is 18MW and 1.6MW respectively. For reliability, with the complexity of a computer system increasing, its meantimebetween-failure (MTBF) is becoming significantly shorter than what is required by many current high performance computing applications [3], such as BlueGene/L. Therefore, energy optimization techniques and fault tolerance techniques should be introduced to computer systems to achieve low energy consumption and high reliability. To improve the productivity of high performance computing systems, we need to find a proper way to measure it. Unfortunately, traditional measurement models can not evaluate the system productivity comprehensively and effectively [4]. To address this issue, this paper proposes an effective scalability metric for high performance computing systems based on Gustafson speedup law. The metric makes a good balance among runtime productivity factors including computing performance, energy consumption and reliability. The contribution of our work lies in the following three aspects. First, in order to measure the scalability of an energyconsumption optimized parallel program, we should consider not only whether the program computing performance is scalable, but also w

关键词： Energy utilization

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High Performance Computing with Java Streams 27th

High Performance Computing with Java Streams

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27th international European conference on parallel and distributed Computing (Euro-Par)

作者： Silva, Rui Sobral, Joao L. Univ Minho Ctr Algoritmi Braga Portugal

ISBN: (纸本)9783031061561;9783031061554

Java streams enable an easy-to-use functional-like programming style that transparently supports parallel execution. This paper presents an approach that improves the performance of stream-based Java applications. The approach enables the effective usage of Java for HPC applications, due to data locality improvements (i.e., support for efficient data layouts), without losing the object-oriented view of data in the code. The approach extends the Java collections API to hide additional details concerning the data layout, enabling the transparent use of more memory-friendly data layouts. The enhanced Java Collection API enables an easy adaptation of existing Java codes making those Java codes suitable for HPC. Performance results show that improving the data locality can provide a two-fold performance gain in sequential stream applications, which translated into a similar gain over parallel stream implementations. Moreover, the performance is comparable to similar C implementations using OpenMP.

关键词： Java parallel streams Data layout Data locality

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parallelization of the molecular dynamics code GROMOS87 for distributed memory parallel architectures

Parallelization of the molecular dynamics code GROMOS87 for ...

引用

international conference and Exhibition on High-Performance Computing and Networking, HPCN Europe 1995

作者： Green, Daron G. Meacham, Ken E. van Hoesel, Frans Chilworth Research Centre University of Southampton Parallel Applications Centre 2 Venture Road SouthamptonS016 7NP United Kingdom Department of Biophysical Chemistry University of Gröningen Nijenborgh 4 AG Gröningen9747 Netherlands

ISBN: (纸本)9783540593935

This paper describes the techniques and methodologies employed during parallelization of the Molecular Dynamics (MD) code GROMOS87, with the specific requirement that the program run efficiently on a range of distributed-memory parallel platforms. We discuss the preliminary results of our parallel port and indicate to what extent we are able to satisfy the basic requirements of industrial users with regard to code performance and scalability. We introduce a scheme which is used to dynamically allocate charge groups to processors reducing the time imbalance during the non-bonded force calculation phase from 30 – 40% to © Springer-Verlag Berlin Heidelberg 1995.

关键词： Molecular dynamics

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Sensor Data processing Method Based on Observed Person's Similarity for Motion Estimation

Sensor Data Processing Method Based on Observed Person's Sim...

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IEEE 27th international conference on Advanced Information Networking and applications Workshops (WAINA)

作者： Imai, Shintaro Miyamoto, Mariko Arai, Yoshikazu Inomata, Toshimitsu Iwate Prefectural Univ Grad Sch Software & Informat Sci Takizawa Iwate 0200193 Japan

ISBN: (纸本)9780769549521;9781467362399

Some systems use machine learning techniques such as support vector machines to estimate human motions using acceleration sensors. These systems must acquire acceleration data to build a model. Therefore, it is difficult to estimate a newly observed person's motions promptly. Moreover, a newly observed person must carry out sufficiently diverse and numerous motions to build a model. These are heavy burdens that must be borne to observe people. As described in this paper, we propose a method for sensor data processing using similarity in feature of motions between observed persons. This method is designed to achieve a balance between providing motion estimation for a newly observed person promptly and for maintaining precision of motion estimation. In this method, the system can estimate a newly observed person's motions initially because the system uses a similar observed persons' standard. We implement a prototype system to evaluate this method. The system estimates human motions using the acceleration sensor. We perform some initial experiments using this prototype system.

关键词： Sensor data processing Human motion estimation Support vector machine Ubiquitous system

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APPROACH TO PERFORMANCE MODELLING AS AN AID IN STRUCTURING REAL-TIME, distributed SYSTEM SOFTWARE.

APPROACH TO PERFORMANCE MODELLING AS AN AID IN STRUCTURING R...

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Proceedings of the Nineteenth Hawaii international conference on System Sciences 1986. Volume 3: Healthcare Management Systems, Medical Information processing.

作者： Sholl, Howard A. Kim, Sungjoo Univ of Connecticut CT USA Univ of Connecticut CT USA

A difficulty in the software design for real-time, distributed systems in which data (or job) rate and response time are critical, is that performance is dependent upon the partitioning and allocation of software modules as well as the performance of those modules. In order to assess these factors, better techniques and tools are needed. This research considers the expansion of a performance modelling approach that can be used for this area. The approach is that of analytic approximation of queueing networks. The primary contributions of this research are: inclusion of communication cost estimates between modules in separate processors;consideration of parallel control branches and their synchronization. A possible application methodology and the related modelling approach are described.

关键词： COMPUTER SYSTEMS, DIGITAL

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