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检索条件"任意字段=7th International Conference on Parallel and Distrubuted Computing, Applications and Technologies"

共 233 条记录，以下是71-80 订阅

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Concerto: Leveraging Ensembles for Timely, Accurate Model Training Over Voluminous Datasets 7

Concerto: Leveraging Ensembles for Timely, Accurate Model Tr...

引用

7th IEEE/ACM international conference on Big Data computing, applications and technologies (BDCAT)

作者： Budgaga, Walid Malensek, Matthew Pallickara, Sangmi Lee Pallickara, Shrideep Colorado State Univ Dept Comp Sci Ft Collins CO 80523 USA Univ San Francisco San Francisco CA USA

ISBN: (纸本)9780738123967

As data volumes increase, there is a pressing need to make sense of the data in a timely fashion. Voluminous datasets are often multidimensional with individual data points representing a vector of features. Data scientists fit models to the data using all features or a subset thereof and then use these models to inform their understanding of phenomena or make predictions. the performance of these analytical models is assessed based on their accuracy and ability to generalize on unseen data. Several frameworks exist for drawing insights from voluminous datasets, but have limited scalability (which leads to prolonged training times), poor resource utilization, narrow applicability across problem domains, and insufficient support for combining diverse model fitting algorithms. In this study, we describe our methodology for scalable supervised learning over voluminous datasets. the methodology explores the effect of controlled partitioning of the feature space, as well as how analytical models can be combined to preserve accuracy. Rather than build a single, all-encompassing model, we enable practitioners to construct an ensemble of models that are trained independently in parallel over different portions of the data space. this can provide faster training times and increased prediction accuracy overall;our empirical benchmarks demonstrate the suitability of our approach using real-world data.

关键词： Distributed ensemble learning voluminous datasets parallel model training

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A review of cloud computing simulation platforms & related environments 7

A review of cloud computing simulation platforms & related e...

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7th international conference on Cloud computing and Services Science, CLOSER 2017

作者： Byrne, James Svorobej, Sergej Giannoutakis, Konstantinos M. Tzovaras, Dimitrios Byrne, P.J. Östberg, Per-Olov Gourinovitch, Anna Lynn, theo Irish Centre for Cloud Computing and Commerce Dublin City University Glasnevin Dublin 9 Ireland Centre for Research and Technology Hellas Information Technologies Institute 6th km Xarilaou-Thermi Thessaloniki57001 Greece Dept. Computing Science and HPC2N Umeå University UmeaSE-901 87 Sweden

ISBN: (纸本)9789897582431

Recent years have seen an increasing trend towards the development of Discrete Event Simulation (DES) platforms to support cloud computing related decision making and research. the complexity of cloud environments is increasing with scale and heterogeneity posing a challenge for the efficient management of cloud applications and data centre resources. the increasing ubiquity of social media, mobile and cloud computing combined with the Internet of things and emerging paradigms such as Edge and Fog computing is exacerbating this complexity. Given the scale, complexity and commercial sensitivity of hyperscale computing environments, the opportunity for experimentation is limited and requires substantial investment of resources both in terms of time and effort. DES provides a low risk technique for providing decision support for complex hyperscale computing scenarios. In recent years, there has been a significant increase in the development and extension of tools to support DES for cloud computing resulting in a wide range of tools which vary in terms of their utility and features. through a review and analysis of available literature, this paper provides an overview and multi-level feature analysis of 33 DES tools for cloud computing environments. this review updates and extends existing reviews to include not only autonomous simulation platforms, but also on plugins and extensions for specific cloud computing use cases. this review identifies the emergence of CloudSim as a de facto base platform for simulation research and shows a lack of tool support for distributed execution (parallel execution on distributed memory systems). ©2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

关键词： Fog computing

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parallel Machine Translation: Principles and practice

Parallel Machine Translation: Principles and practice

引用

7th IEEE international conference on Engineering of Complex Computer Systems

作者： Ren, F Shi, H Univ Tokushima Fac Engn Dept Informat Sci & Intelligent Syst Tokushima 7708506 Japan

ISBN: (纸本)0769511597

parallel Machine Translation (PMT) is a new machine translation paradigm that takes advantage of high-speed and large-memory computers and existing machine translation systems with different characteristics to solve the difficult machine translation problem. PMT is based on technologies of parallel computing, machine translation, and artificial intelligence. A PMT system consists of many machine translation procedures running in parallel, coordinated by a controller to dissolve various ambiguities in machine translation. We have designed and implemented a PMT system based on the above approach at a coarse parallel level. the system consists of four independent machine translation subsystems. Each subsystem is implemented using an existing machine translation technique and has its own characteristics. In this paper we present the principles and practice of PMT. We also present some results of experiments with our experimental PMT system and point out some future research on PMT.

关键词： parallel processing systems

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Multicore parallel Implementation of Agent Emotional Processes

Multicore Parallel Implementation of Agent Emotional Process...

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12th IEEE international conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Dominguez, Carlos Hassan, Houcine Mayans, Vicent Crespo, Alfons Univ Politecn Valencia Dept Comp Engn E-46071 Valencia Spain

ISBN: (纸本)9780769550220

Emotional agents are becoming promising technologies for real-time control applications (i.e., robotics). the principal controllers of the agent are the emotional processes that decide the selection of behaviors to fulfill the objectives. the number of emotional processes increases with the complexity of the application, limiting the processing capacity of a mono-core processor to solve complex problems. A costly solution would be the use of HPC computers to solve complex problems. However, the possibilities of parallelization of the emotional processes permit their execution in parallel on multicore processors, enabling the agent to solve problems of higher complexity at a low cost. this paper presents the implementation of the emotional processes of a robotic agent in a multicore processor. To this end, the parallel emotional processes are identified and characterized, and a real-time system based on the EDF scheduling policy, to execute the emotional workload on the multicore, is proposed. In the experiments, mobile robotic applications are set-up taking into account different environmental conditions, robot dynamics and emotional states. the applications are run on multicore multithreaded processors depending on the workload requirements of the applications. Results show that only a three-core with 6 threads can tackle complex problems in the worst emotional conditions, a dual-core solves less constrained problems under normal emotional conditions and a single-core processor is only suitable for simple problems under the best conditions.

关键词： Multicore processor embedded systems real-time systems Industrial mobile robots emotional-based agents

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Kmerind: A Flexible parallel Library for K-mer Indexing of Biological Sequences on Distributed Memory Systems 16

Kmerind: A Flexible Parallel Library for K-mer Indexing of B...

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7th ACM international conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB)

作者： Pan, Tony Flick, Patrick Jain, Chirag Liu, Yongchao Aluru, Srinivas Georgia Inst Technol Sch Computat Sci & Engn Atlanta GA 30332 USA

ISBN: (纸本)9781450342254

Counting and indexing fixed length substrings, or k-mers, in biological sequences is a key step in many bioinformatics tasks including genome alignment and mapping, genome assembly, and error correction. While advances in next generation sequencing technologies have dramatically reduced the cost and improved latency and throughput, there exist few bioinformatics tools and libraries that can efficiently process the data sets at the current generation rate of 1.8 terabases every 3 days. We present Kmerind, a high performance k-mer indexing library for distributed memory environments. the Kmerind library provides a set of simple and consistent APIs with sequential semantics and parallel implementations that are designed to be flexible and extensible. Using Kmerind, a user can easily instantiate application-specific indices, such as k-mer counter and position index, from biult-in or user-supplied components without extensive high performance computing expertise. Kmerind's k-mer counter performs similarly or better than existing, best-inclass k-mer counting tools even on shared memory systems. In a distributed memory environment, Kmerind counts k-mers in a 120 GB sequence read data set in less than 13 seconds on 1024 Xeon CPU cores, and fully indexes their positions in approximately 17 seconds. Querying for 1% of the k-mers in these indices can be completed in 0.23 seconds and 28 seconds, respectively. To our knowledge, Kmerind is the first k-mer indexing library for distributed memory environments, and the first fully customizable and extensible library for general k-mer indexing and counting. Kmerind is available from https://***/ParBLiSS/kmerind.

关键词： k-mer counting k-mer index next generation sequencing distributed computing parallel computing MPI SIMD

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MultiPath MultiGet: An Optimized Multiget Method Leveraging SSD Internal parallelism 7th

MultiPath MultiGet: An Optimized Multiget Method Leveraging ...

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7th international conference on Emerging Databases - technologies, applications, and theory (EDB)

作者： Song, Kyungtae Kim, Jaehyung Lee, Doogie Park, Sanghyun Yonsei Univ Dept Comp Sci Seoul South Korea

ISBN: (纸本)9789811065200;9789811065194

Accessing data with low latency is a major issue for big data platforms. Some platforms use a Multiget method when accessing data. the Multiget method can be used efficiently when a server should seek data with multiple keys or many single get requests are waiting in a command queue. the method is implemented to access multiple blocks of data using multiple keys. In this research, we developed MPMG, a novel multipath Multiget method for a solid state drive (SSD)-based key-value storage. In MPMG, we use the open source key-value storage RocksDB, which was developed by Facebook and is one of the most representative key-value NoSQL stores. Current RocksDB system cannot fully utilize the internal parallelism of SSD. the MPMG method was designed to leverage ssd internal parallelism and access data in SSD with parallel approach. the ability to support the parallel access inside SSD is efficient for performance. With multipath approach, the SSD can fully exploit its bandwidth, compared to the original approach. In an experiment, this method showed improvements in speed and throughput. the elapsed time for processing decreased up to 80.

关键词： Flash-based SSDs Big data Key-value stores LSM-tree Database management parallel execution

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A modular approach for parallel simulation of virtual testbed applications 7

A modular approach for parallel simulation of virtual testbe...

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7th international conference on Simulation and Modeling Methodologies, technologies and applications, SIMULTECH 2017

作者： Wahl, Arthur Waspe, Ralf Schluse, Michael Rossmann, Juergen Institute for Man-Machine Interaction RWTH Aachen University Ahornstare 55 Aachen Germany

ISBN: (纸本)9789897582653

Virtual Testbeds are advanced 3D simulation environments that model all relevant aspects of complex technical systems, to enable their systematic evaluation by engineers from various disciplines. Due to the high complexity of the resulting simulation, real-time capabilities are very hard to achieve without applying multi-threading strategies. therefore, we present a novel, simulation architecture that facilitates a modular approach to perform parallel simulations of arbitrary environments without further effort. Specifically, no explicit knowledge of the underlying simulation algorithms or model partitioning is needed. As a result, engineers can simply distribute simulation components such as rigid-body dynamics, kinematics, renderer, controllers etc. among different threads without being concerned about the specific technical realization. We achieve this by managing (partial) copies of the state data underlying the simulation models. Each copy acts as a self-contained, independent entity and is bound to one thread. © Copyright 2017 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

关键词： Testbeds

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Load imbalance in parallel programs

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7th international conference on parallel computing technologies (PaCT 2003)

作者： Calzarossa, M Massari, L Tessera, D Univ Pavia Dipartimento Informat & Sistemist I-27100 Pavia Italy

ISBN: (纸本)3540406735

parallel programs experience performance inefficiencies as a result of dependencies, resource contentions, uneven work distributions and loss of synchronizations among processors. the analysis of these inefficiencies is very important for tuning and performance debugging studies. In this paper we address the identification and localization of performance inefficiencies from a methodological viewpoint. We follow a top down approach. We first analyze the performance properties of the programs at a coarse grain. We then study the behavior of the processors and their load imbalance. the methodology is illustrated on a study of a message passing computational fluid dynamic program.

关键词： Message passing

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A Comparative Study of MPI-IO Libraries for Offloading of Collective I/O Tasks 7

A Comparative Study of MPI-IO Libraries for Offloading of Co...

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7th international conference on Engineering and Emerging technologies (ICEET)

作者： Bagbaba, Ayse High Performance Comp Ctr Stuttgart HLRS Stuttgart Germany

ISBN: (纸本)9781665427142

Many scientific applications running on supercomputers deal with increasingly large data sets and are correspondingly bottlenecked by the time it takes to perform input and output (I/O) of data from/to the file system. In principle, user's may rearrange file access patterns and data layout, both, in the application and on the file system to increase I/O performance. Message Passing Interface I/O (MPI-I/O) acts as a middle-ware between application and file system. It provides derived data types and file views to describe different access patterns as well as I/O hints in form of tuning parameters for different file systems. this study compares two MPI-I/O libraries;ROMIO and OMPIO based on the application's access pattern and the underlying file system. Special focus is put on collective I/O and it's potential performance improvements over individual I/O operations. the study shows that one cannot reliably choose a single data layout and expect uniform performance portability among these two libraries. the results can provide insights into the metrics that impact I/O performance significantly and help developers to investigate I/O behaviour of HPC applications.

关键词： MPI-IO ROMIO OMPIO collective I/O parallel I/O

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A cost-optimal parallel implementation of a tridiagonal system solver using skeletons

A cost-optimal parallel implementation of a tridiagonal syst...

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7th international conference on parallel computing technologies (PaCT 2003)

作者： Bischof, H Gorlatch, S Univ Munster D-48149 Munster Germany

We address the task of systematically designing efficient programs for parallel machines. Our approach starts with a sequential algorithm and proceeds by expressing it in terms of standard, pre-implemented parallel components called skeletons. We demonstrate the skeleton-based design process using a tridiagonal system solver as our example application. We develop a cost-optimal parallel version of our application and implement it in message passing interface (MPI). the performance of our solution is demonstrated experimentally on a Cray T3E machine. (c) 2004 Elsevier B.V. All rights reserved.

关键词： tridiagonal systems solver skeletons cost optimality parallel programming

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