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Euro-Par 2012: parallel Processing Workshops 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Ioannis Caragiannis Michael Alexander Rosa Maria Badia Mario Cannataro Alexandru Costan Marco Danelutto Frédéric Desprez Bettina Krammer Julio Sahuquillo Stephen L. Scott Josef Weidendorfer

ISBN: (数字)9783642369490

ISBN: (纸本)9783642369483

this book constitutes thoroughly refereed post-conference proceedings of the workshops of the 18th international conference on parallel computing, Euro-Par 2012, held in Rhodes Islands, Greece, in August 2012. the papers of these 10 workshops BDMC, CGWS, HeteroPar, HiBB, OMHI, Paraphrase, PROPER, UCHPC, VHPC focus on promotion and advancement of all aspects of parallel and distributed computing.

关键词： System Performance and Evaluation Computer systems Organization and Communication Networks Software Engineering/Programming and Operating systems Algorithm Analysis and Problem Complexity Computational Biology/Bioinformatics Computer Hardware

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Preventing deadlock with dynamic message scheduling

Preventing deadlock with dynamic message scheduling

引用

IEEE international conference on systems Engineering

作者： E. Gomez Y. Karant K. Schubert Department of Computer Science California State University San Bernardino USA

Although deadlock is not completely avoidable in distributed and parallel programming, we here describe theory and practice of a system that allows us to limit deadlock to situations in which there are true circular data dependences or failure of processes that compute data needed at other processes. this allows us to guarantee absence of deadlock in SPMD computations absent process failure. Our system guarantees optimal ordering of communication statements. We gratefully acknowledge the support of the US National Science Foundation under Award CISE EIA 9810708 without which this work would not have been possible.

关键词： System recovery Dynamic scheduling Message passing Data analysis Processor scheduling Computer science parallel programming Concurrent computing distributed computing Databases

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Granularity control for distributed execution of logic programs

Granularity control for distributed execution of logic progr...

引用

international conference on distributed computing systems

作者： G. Xirogiannis Department of Computing & Electrical Engineering Heriot-Watt University UK

distributed execution of logic programs requires a match of granularity between a program and the distributed multiprocessor it runs on to exploit its potential for performance fully. this paper presents methods to control the granularity of tasks on distributed heterogeneous processors effectively. It considers the characteristics of such platforms and relates the amount of local computation with the significant communication overheads by introducing the notion of a collection of parallel tasks. the experimental results indicate that the proposed controls can model all kinds of predicates (recursive, mutually recursive etc.) satisfactorily and improve the performance of various forms of parallelism (AND, OR, combinations).

关键词： distributed control parallel processing Communication system control Performance analysis Costs Logic programming Engines Proposals Information analysis Automatic control

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parallelNAS: A parallel and distributed System for Neural Architecture Search

ParallelNAS: A Parallel and Distributed System for Neural Ar...

引用

IEEE international conference on High Performance computing and Communications (HPCC)

作者： Xiaoyang Qu Jianzong Wang Jing Xiao Ping An Technology (Shenzhen) Co. Ltd. Shenzhen China

ISBN: (纸本)9781728176499;9781728176505

Although deep learning takes researchers out of complicated feature engineering, designing practical deep learning models is still a complicated process. Neural Architecture Search (NAS) is famous for automating the design of deep learning models. While the fundamental problem of NAS methods is time-consuming, parallel computing is an encouraging way to relieve this problem. We designed a two-level hierarchical parallel system called parallelNAS, comprising a parallel explorer and parallel evaluators. For the parallel explorer, a general-purposed distributed search framework is built on virtualized, massively-parallel, asynchronous infrastructure. For parallel evaluators, we integrate a segment-balanced sparsity scheme into a mainstream data-parallel architecture. the overall experiment results demonstrate that our distributed and parallel system can reach near-linear speedups on a cluster of 64 GPUs.

关键词： Deep learning Training Computational modeling High performance computing conferences Neural networks Computer architecture

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Smart Replication for In-memory Computations

Smart Replication for In-memory Computations

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international conference on parallel and distributed systems (ICPADS)

作者： Kim-thomas Rehmann Kevin Beineke Michael Schoettner SAP AG Walldorf Germany Institut für Informatik Heinrich-Heine-Universitdt Dusseldorf Düsseldorf Germany Heinrich-Heine-Universitat Dusseldorf Dusseldorf Nordrhein-Westfalen DE

Cloud computing enables diverse new application areas for distributed computing. Many upcoming cloud applications do not fit to simple programming models such as "embarrassing parallelism" but have complex data dependencies and require atomic operations spanning multiple objects. Some large-scale storage systems already implement atomic multiobject operations, but they do not address the complementary problem of efficiently propagating replica updates. In this paper, we present the design and implementation of a smart replication protocol in the ECRAM in-memory storage, which supports atomic multi-object operations. the performance analysis shows that the adaptive mechanism requires much less bandwidth, less memory, and results in improved application performance and responsiveness.

关键词： Peer to peer computing Monitoring Protocols Aging Bandwidth Synchronization Radiation detectors

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Accelerating the Cloud Backup Using GPU Based Data Deduplication

Accelerating the Cloud Backup Using GPU Based Data Deduplica...

引用

international conference on parallel and distributed systems (ICPADS)

作者： Kiatchumpol Suttisirikul Putchong Uthayopas Department of Computer Engineering Faculty of Engineering Kasetsart University Bangkok Thailand

Data deduplication is an efficient technique for data reduction. It has been adopted and widely used in cloud backup service. However deduplication requires high computing capability since it has to calculate the fingerprint of data many times using a hash algorithm. this can be a performance bottleneck for the system. In this paper, we propose to use Graphics Processing Unit (GPU), a high computing architecture, to accelerate the fingerprint generating process in deduplication. Our experiment shows that GPU can significantly improve the performance of deduplication especially when running on large data, where we achieve an acceleration ratio up to 53 times greater compared to with CPU.

关键词： Graphics processing units Fingerprint recognition Instruction sets Acceleration Cloud computing Computer architecture Central Processing Unit

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the influence of Twitter on education policy making

The influence of Twitter on education policy making

引用

ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing (SNPD)

作者： Mwana Said Omar Alexander Njeru Sun Yi Department of Information Systems Kobe Institute of Computing Kobe Japan

ISBN: (纸本)9781509055050

the explosive growth and influence of social media and microblogging sites has paved a way for internet users to freely express their views, opinions and share their experiences with others. With over 319 million users, Twitter presents a unique and dynamic source of information on people's interests and opinions and a rich source of data for sentiment analysis. this paper will discuss the influence of twitter on education policy making. the study aims at helping education policy makers to develop and implement policies that responds to the publics needs.

关键词： Sentiment analysis Education Twitter Feature extraction Data mining Data visualization

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Design and Development of an Adaptive Workflow-Enabled Spatial-Temporal Analytics Framework

Design and Development of an Adaptive Workflow-Enabled Spati...

引用

international conference on parallel and distributed systems (ICPADS)

作者： Xiaorong Li Rodrigo N. Calheiros Sifei Lu Long Wang Henry Palit Qin Zheng Rajkumar Buyya Institute of High Performance Computing A∗STAR Institute Singapore Department of Computing and Information Systems The University of Melbourne Australia

Cloud computing is a suitable platform for execution of complex computational tasks and scientific simulations that are described in the form of workflows. Such applications are managed by Workflow Management System (WfMS). Because existing WfMSs are not able to autonomically provision resources to real-time applications and schedule them while supporting fault tolerance and data privacy, we present a highly-scalable workflow-enabled analytics system that manages inter-dependable analytics tasks adaptively with varying operational requirements on a common platform and enables visualization of multidimensional datasets of real world phenomena. In this paper, we present the architecture of such a WfMS and evaluate it in terms of performance for execution of workflows in Clouds. A real world application of climate-associated dengue fever prediction was evaluated on public, private, and hybrid Clouds and experienced effective speedup in all the environments.

关键词： Cloud computing Computer architecture Real-time systems Resource management Security Data privacy Data visualization

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Data Value Chain as a Service Framework: For Enabling Data Handling, Data Security and Data Analysis in the Cloud

Data Value Chain as a Service Framework: For Enabling Data H...

引用

international conference on parallel and distributed systems (ICPADS)

作者： Henry Kasim Terence Hung Xiaorong Li A*STAR Institute of High Performance Computing Singapore

the concept of Data Value Chain (DVC) involves the chain of activities to collect, manage, share, integrate, harmonize and analyze data for scientific or enterprise insight. For some applications, it also entails the leverage of visualization and simulation. However, the curse of big data (volume, velocity, variety) makes it difficult to efficiently handle and understand the data in near real-time. To address these challenges, this paper proposed the Data Value Chain as a Service (DVCaaS) framework, a data-oriented approach for data handling, data security and analytics in the cloud environment.

关键词： Data analysis Data visualization Data privacy distributed databases Computational modeling Analytical models Data models

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Keynote 1: Mobile cloud and crowd computing and sensing

Keynote 1: Mobile cloud and crowd computing and sensing

引用

international conference on parallel and distributed systems (ICPADS)

作者： Ivan Stojmenovic

Summary form only given, as follows. Mobile devices (smart phones, tablets, laptops, embedded boards, robots) can serve as terminals for cloud computing services over intelligent network. Mobile cloud has emerged as a new cloud computing platform that 'puts cloud into a pocket.' Important issues include optimizing the scheduling and transport schemes, access management, and application optimization, for mobile devices to achieve energy saving. this talk will first introduce the development of mobile cloud computing and describe some applications involving multimedia, vision/recognition, graphics, gaming, text processing. It will present the transmission, computation (e.g. task outsourcing), and sensing (e.g. location based services) challenges and solution approaches of green computing in mobile cloud. 'Crowd computing' combines mobile devices and social interactions to achieve large-scale distributed computation. Examples include task farming and social network creation and cooperation. Mobile devices are being equipped with various sensors to provide input for participatory and opportunistic crowd-sourced sensing. Particular emerging concepts are 'vehicular cloud' and 'vehicular crowd,' with applications such as cloud server, vehicular data center, and congestion mitigation.

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