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检索条件"任意字段=8th IFIP International Conference on Network and Parallel Computing"

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parallel CYK membership test on GPUs

Parallel CYK membership test on GPUs

引用

11th ifip WG 10.3 international conference on network and parallel computing, NPC 2014

作者： Kim, Kyoung-Hwan Choi, Sang-Min Lee, Hyein Man, Ka Lok Han, Yo-Sub Department of Computer Science Yonsei University Seoul Korea Republic of Department of Computer Science and Software Engineering Xian Jiaotong-Liverpool University Suzhou China

ISBN: (纸本)9783662449165

Nowadays general-purpose computing on graphics processing units (GPGPUs) performs computations what were formerly handled by the CPU using hundreds of cores on GPUs. It often improves the performance of sequential computation when the running program is well-structured and formulated for massive threading. the CYK algorithm is a well-known algorithm for the context-free language membership test and has been used in many applications including grammar inferences, compilers and natural language processing. We revisit the CYK algorithm and its structural properties suitable for parallelization. Based on the discovered properties, we then parallelize the algorithm using different combinations of memory types and data allocation schemes using a GPU. We evaluate the algorithm based on real-world data and herein demonstrate the performance improvement compared with CPU-based computations. © 2014 ifip international Federation for Information Processing.

关键词： Graphics processing unit

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Different solvers evaluation for a bucking problem

Different solvers evaluation for a bucking problem

引用

11th ifip WG 10.3 international conference on network and parallel computing, NPC 2014

作者： Chou, Chau-Yi Lee, Jiunn-Horng Cheng, Yu-Fen Hsieh, Chih-Wei Wang, Weichung National Center for High-Performance Computing Taiwan Institute of Applied Mathematical Sciences National Taiwan University Taiwan

ISBN: (纸本)9783662449165

the linear system solver plays a key role in scientific computing. this paper evaluates the performances of PETSc (Portable, Extensible Toolkit for Scientific Computation) and HIPS (Portable, Extensible Toolkit for Scientific Computation) solving a singular matrix arising from a bucking problem from UF matrix collection. We employ preconditioned (Level-based ILU) iterative methods (GMRES) for PETSc while HIPS adopts the Schur complement method, named iterative or hybrid mode. Moreover, HIPS proposed HID (Hierarchical interface decomposition) to improve the parallel efficiency. We hope to transfer these results into industrial applications. © 2014 ifip international Federation for Information Processing.

关键词： Iterative methods

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Efficient parallel algorithms for linear RankSVM on GPU

Efficient parallel algorithms for linear RankSVM on GPU

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11th ifip WG 10.3 international conference on network and parallel computing, NPC 2014

作者： Jin, Jing Lin, Xiaola School of Information Science and Technology Sun Yat-sen University Guangzhou China

ISBN: (纸本)9783662449165

Linear RankSVM is one of the widely used methods for learning to rank. Although using Order-Statistic Tree (OST) and Trust Region Newton Methods (TRON) are effective to train linear RankSVM on CPU, it becomes less effective when dealing with large-scale training data sets. Furthermore, linear RankSVM training with L2-loss contains quite amount of matrix manipulations in comparison with that with L1-loss, so it has great potential for achieving parallelism on GPU. In this paper, we design efficient parallel algorithms on GPU for the linear RankSVM training with L2-loss based on different queries. the experimental results show that, compared with the state-of-the-art algorithms for the linear RankSVM training with L2-loss on CPU, our proposed parallel algorithm not only can significantly enhance the training speed but also maintain the high prediction accuracy. © 2014 ifip international Federation for Information Processing.

关键词： Graphics processing unit

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Towards optimal collaboration of policies in the two-phase scheduling of cloud tasks

Towards optimal collaboration of policies in the two-phase s...

引用

11th ifip WG 10.3 international conference on network and parallel computing, NPC 2014

作者： Xu, Cong Yang, Jiahai Fu, Di Zhang, Hui Institute for Network Sciences and Cyberspace Tsinghua University Beijing 100084 China Tsinghua University Beijing 100084 China

ISBN: (纸本)9783662449165

the use of virtualization technology makes software applications more scalable and cost effective when they are deployed over cloud computing platforms, but virtualization technology also brings challenges to task scheduling over cloud. the commonly used list scheduling schemes split the scheduling process into two phases: ordering and dispatching. However, majorities of recent researches about scheduling of cloud tasks concentrate on optimizing the schedulers' performance in one phase, but seldom consider the collaborations of scheduling policies used in different phases. this paper summarizes some representative ordering and dispatching policies used in list schedulers, models the execution processes of these ordering and dispatching policies using Stochastic Petri Nets (SPN), and simulates the list scheduling process of cloud tasks. Based on the modeling and experimental results, we further evaluate which composition of ordering and dispatching policies provides optimal performance in the two-phase scheduling process of cloud tasks. © 2014 ifip international Federation for Information Processing.

关键词： Scheduling

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An estimation-based task load balancing scheduling in spot clouds

An estimation-based task load balancing scheduling in spot c...

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11th ifip WG 10.3 international conference on network and parallel computing, NPC 2014

作者： Jung, Daeyong Choi, HeeSeok Lee, DaeWon Yu, Heonchang Lee, Eunyoung Dept. of Computer Science Education Korea University Seoul Korea Republic of Division of General Education SeoKyeong University Seoul Korea Republic of Dept. of Computer Science Dongduk Women's University Seoul Korea Republic of

ISBN: (纸本)9783662449165

Cloud computing is a computing paradigm in which users can rent computing resources from service providers according to their requirements. Cloud computing based on the spot market helps a user to obtain resources at a lower cost. However, these resources may be unreliable. In this paper, we propose an estimation-based distributed task workflow scheduling scheme that reduces the estimated generation compared to Genetic Algorithm (GA). Moreover, our scheme executes a user's job within selected instances and stretches the user's cost. the simulation results, based on a before-and-after estimation comparison, reveal that the task size is determined based on the performance of each instance and the task is distributed among the different instances. therefore, our proposed estimation-based task load balancing scheduling technique achieves the task load balancing according to the performance of instances. © 2014 ifip international Federation for Information Processing.

关键词： Cloud computing

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Temporal-based ranking in heterogeneous networks

Temporal-based ranking in heterogeneous networks

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11th ifip WG 10.3 international conference on network and parallel computing, NPC 2014

作者： Yu, Chen Li, Ruidan Yao, Dezhong Lu, Feng Jin, Hai Services Computing Technology and System Lab. School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9783662449165

Ranking is a fundamental task for network analysis, benefiting to filter and find valuable information. Time information impacts results in content that is sensitive to trends and events ranking. the current ranking either assumes that user's interest and concerns remain static and never change over time or focuses on detecting recency information. Meanwhile most prevalent networks like social network are heterogeneous, that composed of multiple types of node and complex reliance structures. In this paper, we propose a general Temporal based Heterogeneous Ranking (TemporalHeteRank) method. We demonstrate that TemporalHeteRank is suitable for heterogeneous networks on the intuition that there is a mutually information balance relationship between different types of nodes that could be reflected on ranking results. We also explore the impact of node temporal feature in ranking, then we use the node life span by carefully investigating the issues of feasibility and generality. the experimental results on sina weibo ranking prove the effectiveness of our proposed approach. © 2014 ifip international Federation for Information Processing.

关键词： Heterogeneous networks

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Application of RMAN backup technology in the agricultural products wholesale market system 7

Application of RMAN backup technology in the agricultural pr...

引用

7th ifip WG 5.14 international conference on Computer and computing Technologies in Agriculture, CCTA 2013

作者： Yu, Ping Zhou, Nan Network Center China Agricultural University Beijing100083 China School of Economics and Management China Agricultural University Beijing100083 China

ISBN: (纸本)9783642543401

Based on Oracle Database RMAN backup technology, this paper designs and implements a database backup subsystem for the agricultural products wholesale market system. through full backup, incremental backups and cumulative incremental backup, it ensures the timeliness, integrity and efficiency of data recovery, when data mistake happens in the agricultural products wholesale market system database or the database collapses. © ifip international Federation for Information Processing 2014.

关键词： Agricultural products

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Improving log-based fault diagnosis by log classification

Improving log-based fault diagnosis by log classification

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11th ifip WG 10.3 international conference on network and parallel computing, NPC 2014

作者： Zou, Deqing Qin, Hao Jin, Hai Qiang, Weizhong Han, Zongfen Chen, Xueguang Services Computing Technology and System Lab. School of Computer Science and Technology Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9783662449165

In modern computer systems, system event logs have always been the primary source for checking the system status. As computer systems become more complex, such as cloud computing systems, the interaction among software and hardware is increasingly frequently. these components will generate enormous log information, including running reports and fault information. the massive data is a great challenge for analysis with manual method. In this paper, we implement a log management and analysis system, which can assist system administrators to understand the real-time status of the entire system, classify logs into different fault types, and determine the root cause of the faults. In addition, we improve the existing fault correlation analysis method based on the results of system log classification. We apply the log management and analysis system to cloud computing environment for evaluation. the results show that our system can classify fault logs effectively and automatically. By using the proposed system, administrators can easily detect the root cause of faults. © 2014 ifip international Federation for Information Processing.

关键词： Cloud computing

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Study on semantic heterogeneity elimination of agricultural product price information in multi-source network 7

Study on semantic heterogeneity elimination of agricultural ...

引用

7th ifip WG 5.14 international conference on Computer and computing Technologies in Agriculture, CCTA 2013

作者： Zhang, Jing Zhou, Guo-Min Wang, Jian Zhang, Jie Xie, Fangli Agricultural Information Institute of CAAS Beijing100081 China

ISBN: (纸本)9783642543401

With development of web information technologies, internet applications have come into burst growth, which brings different kinds of standard, database and description methods. this condition causes the "information islands" that make a lot of trouble in data sharing. the root cause of these problems is information source heterogeneity, which consists of four levels, and among them the semantic heterogeneity is the most difficult issue. the reasons of semantic heterogeneity existing are pointed out in this article and the research status of heterogeneity elimination is introduced. At last the solutions of agricultural product price information in multi-source network are summarized and the research emphasis in future is prospected. © ifip international Federation for Information Processing 2014.

关键词： Agricultural products

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Designing coalescing network-on-chip for efficient memory accesses of GPGPUs

Designing coalescing network-on-chip for efficient memory ac...

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11th ifip WG 10.3 international conference on network and parallel computing, NPC 2014

作者： Chen, Chien-Ting Huang, Yoshi Shih-Chieh Chang, Yuan-Ying Tu, Chiao-Yun King, Chung-Ta Wang, Tai-Yuan Sang, Janche Li, Ming-Hua Department of Computer Science National Tsing Hua University Hsinchu Taiwan Department of Computer and Information Science Cleveland State University Cleveland OH United States Information and Communications Research Laboratories Industrial Technology Research Institute Hsinchu Taiwan

ISBN: (纸本)9783662449165

the massive multithreading architecture of General Purpose Graphic Processors Units (GPGPU) makes them ideal for data parallel computing. However, designing efficient GPGPU chips poses many challenges. One major hurdle is the interface to the external DRAM, particularly the buffers in the memory controllers (MCs), which is stressed heavily by the many concurrent memory accesses from the GPGPU. Previous approaches considered scheduling the memory requests in the memory buffers to reduce switching of memory rows. the problem is that the window of requests that can be considered for scheduling is too narrow and the memory controller is very complex, affecting the critical path. In view of the massive multithreading architecture of GPGPUs that can hide memory access latencies, we exploit in this paper the novel idea of rearranging the memory requests in the network-on-chip (NoC), called packet coalescing. To study the feasibility of this idea, we have designed an expanded NoC router that supports packet coalescing and evaluated its performance extensively. Evaluation results show that this NoC-assisted design strategy can improve the row buffer hit rate in the memory controllers. A comprehensive investigation of factors affecting the performance of coalescing is also conducted and reported. © 2014 ifip international Federation for Information Processing.

关键词： network-on-chip

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