Methods and Tools of Parallel Programming Multicomputers

1. Front Matter

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2. Languages, Systems and Optimizations

   1. Optimization of Parallel Execution of Numerical Programs in LuNA Fragmented Programming System

      • Victor Malyshkin, Vladislav Perepelkin

      Pages 1-10

   2. On Numerical Solution of Integral Equations for Three-Dimensional Diffraction Problems

      • A. A. Kashirin, S. I. Smagin

      Pages 11-19

   3. Discrete Models of Physicochemical Processes and Their Parallel Implementation

      • Olga Bandman

      Pages 20-29

3. Multi-core Technologies, Embedded Systems and Compilers

   1. A Fast General Parser for Automatic Code Generation

      • Wuu Yang

      Pages 30-39

   2. A Multi-core Software API for Embedded MPSoC Environments

      • Jia-Jhe Li, Shao-Chung Wang, Po-Chun Hsu, Po-Yu Chen, Jenq Kuen Lee

      Pages 40-50

   3. A VLIW-Based Post Compilation Framework for Multimedia Embedded DSPs with Hardware Specific Optimizations

      • Meng-Hsuan Cheng, Kenn Slagter, Tai-Wen Lung, Yeh-Ching Chung

      Pages 51-58

   4. Parallelization of Motion JPEG Decoder on TILE64 Many-Core Platform

      • Xuan-Yi Lin, Chung-Yu Huang, Pei-Man Yang, Tai-Wen Lung, Shau-Yin Tseng, Yeh-Ching Chung

      Pages 59-68

4. Cluster Computing

   1. A Compound Scheduling Strategy for Irregular Array Redistribution in Cluster Based Parallel System

      • Shih-Chang Chen, Ching-Hsien Hsu, Tai-Lung Chen, Kun-Ming Yu, Hsi-Ya Chang, Chih-Hsun Chou

      Pages 69-77

   2. Optimization of Intercluster Communications in the NumGRID

      • Maxim Gorodnichev, Sergey Kireev, Victor Malyshkin

      Pages 78-85

   3. Metacluster System for Managing the HPC Integrated Environment

      • Victor Gergel, Andrew Senin

      Pages 86-94

   4. The ParaLab System for Investigating the Parallel Algorithms

      • Victor Gergel, Anna Labutina

      Pages 95-104

   5. A Message Forward Tool for Integration of Clusters of Clusters Based on MPI Architecture

      • Francisco Isidro Massetto, Augusto Mendes Gomes Jr., Fernando Ryoji Kakugawa, Calebe de Paula Bianchini, Liria Matsumoto Sato, Ching-Hsien Hsu et al.

      Pages 105-114

5. Cloud and Grid Computing

   1. Dynamic Resource Provisioning for Interactive Workflow Applications on Cloud Computing Platform

      • Hui-Zhen Zhou, Kuo-Chan Huang, Feng-Jian Wang

      Pages 115-125

   2. A Xen-Based Paravirtualization System toward Efficient High Performance Computing Environments

      • Chao-Tung Yang, Chien-Hsiang Tseng, Keng-Yi Chou, Shyh-Chang Tsaur, Ching-Hsien Hsu, Shih-Chang Chen

      Pages 126-135

   3. A Scalable Multi-attribute Range Query Approach on Cluster-Based Hybrid Overlays

      • You-Fu Yu, Po-Jung Huang, Quan-Jie Chen, Tian-Liang Huang, Kuan-Chou Lai

      Pages 136-145

   4. Satellite Image Structure Analysis with the GRID Technologies

      • A. I. Alexanin, M. G. Alexanina, P. V. Babyak, S. E. Diyakov, G. V. Tarasov

      Pages 146-151

   5. A Dynamic File Maintenance Scheme with Bayesian Network for Data Grids

      • Chao-Tung Yang, Chien-Jung Huang, Tai-Lung Chen, Ching-Hsien Hsu

      Pages 152-162

6. Simulations and Modeling

   1. High Performance Computation for Large Eddy Simulation

      • Alexander Starchenko, Evgeniy Danilkin

      Pages 163-172

   2. ARPP: Ant Colony Algorithm Based Resource Performance Prediction Model

      • Ce Yu, Kelang Xiong, Jizhou Sun, Yanyan Huang, Jian Xiao

      Pages 173-181

It is our great pleasure to present the proceedings of the second Russia–Taiwan Symposium on Methods and Tools of Parallel Programming (MTPP 2010). MTPP is the main regular event of the Russia–Taiwan scientific forum that covers the many dimensions of methods and tools of parallel programming, algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems. As applications of computing systems have permeated every aspect of daily life, the power of computing systems has become increasingly critical. Therefore, MTPP is intended to play an important role allowing researchers to exchange information regarding advancements in the state of the art and practice of IT-driven services and applications, as well as to identify emerging research topics and define the future directions of parallel computing. We received a large number of high-quality submissions this year. In the first stage, all papers submitted were screened for their relevance and general submission requirements. These manuscripts then underwent a rigorous peer-review process with at least three reviewers per paper. At the end, 33 papers were accepted for presentation and included in the main proceedings. To encourage and promote the work presented at MTPP 2010, we are delighted to inform the authors that some of the papers will be accepted in special issues of the Journal of Supercomputing, which has played a prominent role in promoting the development and use of parallel and distributed processing.

• algorithms
• cloud computing
• cuda
• fine grain computing
• gpu
• grid computing
• large scale simulation
• load-balancing
• multicomputers
• multicore processors
• numerical methods
• parallel computing
• performance measurement
• programming
• algorithm analysis and problem complexity

• Department of Computer Science and Information Engineering, Chung Hua University, Hsinchu, Taiwan, China

  Ching-Hsien Hsu

• Supercomputer Software Department, Institute of Computational Mathematics and Mathematical Geophysics, Pr. Lavrentieva, ICM&MG RAS, Novosibirsk, Russia

  Victor Malyshkin

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