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检索条件"任意字段=Proceedings of the Advances in Parallel and Distributed Computing"

共 506 条记录，以下是251-260 订阅

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An ontology-based business process modeling methodology

An ontology-based business process modeling methodology

引用

3rd IASTED International Conference on advances in Computer Science and Technology, ACST 2007

作者： Liao, Li Leung, Hareton K. N. Department of Computing Hong Kong Polytechnic University Kowloon Hong Kong

ISBN: (纸本)9780889866560

Business process modeling is important for SOA application development. Formal modeling methodology has significant benefits but related research seems inadequate. In this paper we present an upper ontology for business process modeling, called Business Process Ontology (BPO), and propose an SOA application modeling and developing framework. The BPO provides accurate definitions of the main components of SOA modeling. The extension of BPO can be used to define business process models, describe existing services, and define the mapping between processes and services. Applying ontology to SOA Modeling can help to identify the binding information of business process and service, increase the reusability of existing business processes and services, and accelerate the development of application.

关键词： Ontology

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Architectural implications of the NAS MG and FT parallel benchmarks

Architectural implications of the NAS MG and FT parallel ben...

引用

proceedings of the advances in parallel and distributed computing

作者： Yuzhong Sun Jianyong Wang Zhiwei Xu National Center for Intelligent Computing Systems Chinese Academy and Sciences Beijing China

ISBN: (纸本)0818678763

This paper characterizes the structure and resource requirements of the NAS parallel Benchmarks (NPB), a popular benchmark suite used to evaluate various parallel computers. The phase parallel model is used to obtain parameter values for memory, I/O, and communication latency and bandwidth requirements. These quantitative parameters are useful in the design and evaluation of various parallel computers. The results of this study is being used in designing Dawning 2000, which is NCIC's second generation MPP.

关键词： Concurrent computing Bandwidth Delay Application software NASA Computational fluid dynamics Sun Intelligent systems parallel processing Computer architecture

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Next Generation Grid: Learn from the past, look to the future

引用

11th European parallel Virtural Machine and Message Passing Interface Users Group Meeting

作者： Laforenza, D CNR ISTI High Performance Comp Lab I-56126 Pisa Italy

ISBN: (纸本)3540231633

The first part of this talk will be focused on the Grid Evolution. In fact, in order to discuss "what is a Next Generation Grid", it is important to determine "with respect to what". Distinct phases in the evolution of Grids are observable. At the beginning of the 90’s, in order to tackle huge scientific problems, in several important research centers tests were conducted on the cooperative use of geographically distributed resources, conceived as a single powerful computer. In 1992, Charlie Catlett and Larry Smarr coined the term "Metacomputing" to describe this innovative computational approach [1] The term Grid computing was introduced by Foster and Kesselman a few years later, and in the meanwhile several other words were used to describe this new computational approach, such as Heterogeneous computing, Networked Virtual Supercomputing, Heterogeneous Supercomputing, Seamless computing, etc., Metacomputing could be considered as the 1st generation of Grid computing, some kind of "proto-Grid". The Second Grid computing generation starts around 2001, when Foster at al. proposed Grid computing as an important new field, distinguished from conventional distributed computing by its focus on large-scale resource sharing, innovative applications, and, in some cases, high-performance orientation [2]. With the advent of multiple different Grid technologies the creativity of the research community was further stimulated, and several Grid projects were proposed worldwide. But soon a new question about how to guarantee interoperability among Grids was raised. In fact, the Grid Community, mainly created around the Global Grid Forum (GGF) [3], perceived the real risk that the far-reaching vision offered by Grid computing could be obscured by the lack of interoperability standards among the current Grid technologies. The marriage of the Web Services technologies [4] with the Second Generation Grid technology led to the valuable GGF Open Grid Services Architec-ture (OGSA) [5], a

关键词： Grid computing

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Acceleration of BAM I/O on distributed file systems

Acceleration of BAM I/O on distributed file systems

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Ito, Satoshi Miyano, Satoru Ono, Kenji Tokyo Medical and Dental University Dept. of Integrated Analysis M&d Data Science Center Tokyo Japan Kyushu University Section of Applied Data Science Res. Inst. for Information Technology Fukuoka Japan

ISBN: (纸本)9798350337488

Rapid advances in high-throughput sequencers have made it possible to obtain large amounts of whole genome data quickly and inexpensively. As the amount of data increases, the increase in computation time has become a serious problem. One of the main causes of this problem is file I/O performance. Most pipelines do not implement file I/O suitable for distributed file systems, which are common storage systems in parallel computers used for large-scale analysis. In this study, we developed an I/O system adapted to distributed file systems. In the proposed system, storage access frequency was suppressed by I/O buffers, and thread parallelization by OpenMP was employed. We tested the developed system and a high parallel speedup was achieved. Availability: The developed system is freely available from https://***/SatoshiITO/GAPS © 2023 IEEE.

关键词： distributed File System High performance computing Whole genome sequencing analysis

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Constrained Mixed-Critical parallelization for distributed Heterogeneous Systems 9

Constrained Mixed-Critical Parallelization for Distributed H...

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9th IEEE International Conference on Intelligent Data Acquisition and Advanced computing Systems - Technology and Applications (IDAACS)

作者： Hoettger, Robert Oezcelikoers, Mustafa Heisig, Philipp Krawczyk, Lukas Wolff, Carsten Igel, Burkhard IDiAL Inst Dortmund Univ Appl Sci & Arts Dortmund Germany

ISBN: (纸本)9781538606971

Distributing software effectively to multi core, many core, and distributed systems has been studied for decades but still advances successively driven by domain specific constraints. Programming vehicle ECUs is one of the most constrained domains that recently approached the need for concurrency due to advanced driver assistant systems or autonomous driving approaches. In this paper, software distribution challenges for such systems are discussed and solutions are presented for instruction precise modeling, affinity constrained distribution, and reducing task response times achieved by advanced software parallelization. Therefore, existing partitioning and mapping algorithms are advanced to consider affinity constraints, software component tags and communication costs. Our experiments along a remote controlled model car show that using our new advanced results instead of sequential implementations or software distributions provided by the operating system on a distributed heterogeneous system significantly improves its responsiveness in order to potentially reduce energy consumption and replaces error prone manual constraint considerations for mixed-critical applications.

关键词： Constrained parallelization heterogeneous systems distributed systems multicore parallel embedded systems

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Performance evaluation of security services: An experimental approach

Performance evaluation of security services: An experimental...

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15th Euromicro International Conference on parallel, distributed and Network-Based Processing

作者： Cilardo, Alessandro Coppolino, Luigi Mazzeo, Antonino Romano, Luigi Univ Napoli Federico II Dipartimento Informat & Sistemist Via Claudio 21 I-80125 Naples Italy Univ Napoli Parthenope Dipartimento Tecnol I-80133 Naples Italy

ISBN: (纸本)9780769527840

Recent advances in wireless technologies have enabled pervasive connectivity to Internet scale systems which include heterogeneous mobile devices, such as mobile phones and Personal Digital Assistants, a trend which is generally referred to as ubiquitous computing. This leads to the need for providing security functions to applications which are partially deployed over wireless devices. Delivering security services to mobile devices raises a number of challenging issues, mostly related to the limited amount of computing power which is typically available on the target platforms. Some promising solutions rely on multi-tier architectures, which are based on the emerging Web Services technology. In this scenario, understanding the impact of architectural characteristics of specific plalforms is a key issue for practitioners who have to develop and deploy efficient security-enabled applications on mobile devices. This paper provides an experimental study of the impact that specific characteristics of individual mobile device platforms have on the final performance of security applications. Focus is on performance and resource utilization, which are key aspects when one develops applications on mobile devices. The case study is a Web Services based solution for delivering Public Key Infrastructure (PKI) Services to Mobile Devices. Experiments have been conducted on three different mobile terminals, which span a large range of characteristics in the class of resource-constrained devices. Results show that: i) performance figures are not uniform. in spite of similar underlying hardware characteristics, and ii) security and performance are often conflicting requirements.

关键词： performance security ubiquitous computing mobile devices web services

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A lifetime-sensitive scheduling method

A lifetime-sensitive scheduling method

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proceedings of the advances in parallel and distributed computing

作者： Xinda Lu Yi Hu Jie Chen High Performance Computing Lab Department of Computer Science and Engineering Shanghai Jiaotong University Shanghai China

ISBN: (纸本)0818678763

This paper presents a lifetime-sensitive scheduling method. By shortening lifetimes of variables in scheduling phase, it can lighten register pressure in register allocation phase, lessen spill codes and result in more efficient object codes. The preliminary experimental results show that this method is an effective scheduling method.

关键词： Costs Processor scheduling Optimizing compilers Registers parallel processing High performance computing Computer science Reduced instruction set computing Upper bound Performance evaluation

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distributed Feature Extraction on Apache Spark for Human Action Recognition 14

Distributed Feature Extraction on Apache Spark for Human Act...

引用

14th International Conference on Ubiquitous Information Management and Communication (IMCOM)

作者： Nguyen Anh Tu Thien Huynh-The Wong, Kok-Seng Dinh-Mao Bui Lee, Young-Koo Nazarbayev Univ Dept Comp Sci Nur Sultan Kazakhstan Kumoh Natl Inst Technol ICT Convergence Res Ctr Gumi South Korea Kyung Hee Univ Dept Comp Sci & Engn Yongin South Korea

ISBN: (纸本)9781728154534

Local feature extraction is one of the most important tasks to build robust video representation in human action recognition. Recent advances in computing visual features, especially deep-learned features, have achieved excellent performance on a variety of action datasets. However, the extraction process is computing-intensive and extremely time-consuming when conducting it on large-scale video data. Consequently, to extract video features over big data, most of the existing methods that run on single machine become inefficient due to the limit of computation power and memory capacity. In this paper, we propose the elastic solutions for feature extraction based on the Spark framework. Particularly, exploiting the in-memory computing capability of Spark, the process of computing features are parallelized by partitioning video data into videos or frames and place them into resilient distributed datasets (RDDs) for the subsequent processing. Then, we present the parallel algorithms to extract the state-of-the-art deep-learned features on the Spark cluster. Subsequently, using the distributed encoding, the extracted features are aggregated into the global representation which is fed into the learned classifier to recognize actions in videos. Experimental results on a benchmark dataset demonstrate that our proposed methods can significantly speed up the extraction process and achieve the promising scalability performance.

关键词： Human action recognition local feature deep learning Spark MapReduce

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Recent advances on the application of big data framework based on Hadoop platform 21

Recent advances on the application of big data framework bas...

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2021 International Conference on Bioinformatics and Intelligent computing, BIC 2021

作者： Zhang, Xiao Gen Xu, He Li Wang, Hua Chen, Xu Library of Henan Polytechnic University Jiao Zuo Henan China Information Construction and Management Center Henan Polytechnic University Jiao Zuo Henan China School of Mechanic and Power Engineering Henan Politechnic Universtiy Jiao Zuo Henan China Henan Politechnic Universtiy Jiao Zuo Henan China

ISBN: (纸本)9781450390002

Data mining plays an important role in all kinds of practical applications in modern society. In recent years, with the exponential growth trend of data produced and accumulated in various industries, data mining has attracted the attention of many researchers. Hadoop distributed software framework is the most commonly used framework to build cloud platform. This paper introduces the latest progress of parallel data mining applications in Hadoop platform, such as book management, cloud computing, industry, scientific research and water treatment, traffic management and other practical applications such as daily life management. © 2021 ACM.

关键词： Data mining

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proceedings of ScalA 2016: 7th Workshop on Latest advances in Scalable Algorithms for Large-Scale Systems - Held in conjunction with SC16: The International Conference for High Performance computing, Networking, Storage and Analysis

Proceedings of ScalA 2016: 7th Workshop on Latest Advances i...

引用

7th Workshop on Latest advances in Scalable Algorithms for Large-Scale Systems, ScalA 2016

ISBN: (纸本)9781509052226

The proceedings contain 11 papers. The topics discussed include: effective dynamic load balance using space-filling curves for large-scale SPH simulations on GPU-rich supercomputers;towards fast scalable solvers for charge equilibration in molecular dynamics applications;left-preconditioned communication-avoiding conjugate gradient methods for multiphase CFD simulations on the K computer;the gyrokinetic particle simulation of fusion plasmas on tianhe-2 supercomputer;extremely scalable algorithm for 108-atom quantum material simulation on the full system of the K computer;performance scaling variability and energy analysis for a resilient ULFM-based PDE solver;batched generation of incomplete sparse approximate inverses on GPUs;a massively parallel distributed n-body application implemented with HPX;randomized sketching for large-scale sparse ridge regression problems;optimizing plasma eigensolver on large shared memory system;and on Monte Carlo hybrid methods for linear algebra.

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