Methods and Tools of Parallel Programming Multicomputers

1. Simulations and Modeling

   1. Using Molecular Dynamics Simulation and Parallel Computing Technique of the Deposition of Diamond-Like Carbon Thin Films

      • Jiun-Yu Wu, Hui-Ching Wang, Jung-Sheng Chen, Kuen-Tsan chen, kuen Ting

      Pages 182-190

   2. Statistical Modeling of Ocean Surface Noise

      • Alex Shvyrev, Igor Yaroshchuk

      Pages 191-199

   3. On One Parallel Numerical Implementation of a Free-Surface Ocean Dynamics Model

      • Sergey V. Smirnov, Vladimir A. Levin

      Pages 200-203

   4. Multi-particle Cellular-Automata Models for Diffusion Simulation

      • Yu Medvedev

      Pages 204-211

   5. Parallel Implementation of Kinetic Cellular Automata for Modeling CO Oxidation over Pd(110) Surface

      • Valentina Markova, Anastasia Sharifulina

      Pages 212-221

   6. Parallel System for Abnormal Cell Growth Prediction Based on Fast Numerical Simulation

      • Norma Alias, Md. Rajibul Islam, Rosdiana Shahir, Hafizah Hamzah, Noriza Satam, Zarith Safiza et al.

      Pages 222-231

2. Algorithms and Applications

   1. Parallel Scalable Algorithms with Mixed Local-Global Strategy for Global Optimization Problems

      • Konstantin Barkalov, Vasily Ryabov, Sergey Sidorov

      Pages 232-240

   2. A Fast Parallel Genetic Algorithm for Traveling Salesman Problem

      • Chun-Wei Tsai, Shih-Pang Tseng, Ming-Chao Chiang, Chu-Sing Yang

      Pages 241-250

   3. Parallel Algorithms for Solution of Air Pollution Inverse Problems

      • Alexander Starchenko, Elena Panasenko

      Pages 251-259

   4. Parallel Algorithm for Calculation of the Nanodot Magnetization

      • Konstantin V. Nefedev, Yury P. Ivanov, Alexey A. Peretyatko

      Pages 260-267

   5. Advanced Computing Method for Solving of the Polarized-Radiation Transfer Equation

      • Andrey Kovtanyuk, Konstantin Nefedev, Igor Prokhorov

      Pages 268-276

3. Performance Measurement and Analysis

   1. Comparative Analysis of Effectiveness of Two Timing-Driven Design Approaches

      • Iosif Meyerov, Andrey Kamaev, Kirill Kornyakov, Artem Zhivoderov

      Pages 277-282

   2. Multithreaded Integrated Design of Aiframe Panel Manufacture Processes

      • Mikhail Guzev, Alexandr Oleinikov, Konstantin Bormotin, Oleg Dolgopolik

      Pages 283-292

   3. Efficient Biorthogonal Lanczos Algorithm on Message Passing Parallel Computer

      • Sun Kyung Kim

      Pages 293-299

4. Back Matter

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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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