ИСТИНА

• Охват: Международная
• Даты проведения: 2009
• Место проведения: Lyon, France, France
• Описание конференции:

  Parallel computing is today already the standard computing paradigm in many areas of main stream computing. The evolution from specialised technologies for handling large and complex applications to standard techniques for solving everyday applications on affordable hardware is revolutionising computing strategies in virtually all application areas. The extension of these advanced technologies to networked based systems, such as clusters, grids and clouds, makes parallel computing one of the base technologies for e-science on a global scale. ParCo2009 continues the tradition of the international conferences on parallel computing started in Berlin, Germany in 1983. This makes it one of the longest running international conferences on high performance computing. Over the years the conference established itself as the foremost platform for exchanging know-how on the newest parallel computing strategies, technologies, methods and tools. The high scientific standard of the conference presentations and the refereed proceedings have become the hall-mark of ParCo. These conferences are planned such that a maximum opportunity is created for delegates to meet and interact with fellow researchers. The informal nature of the conferences allow for easy interaction of the delegates. AIMS AND SCOPE The aim of the conference is to give an overview of the state-of-the-art of the developments, applications and future trends in high performance computing for all platforms. The conference addresses all aspects of parallel computing, including applications, hardware and software technologies as well as languages and development environments. Special emphasis will be placed on the: role of high performance processing to solve real-life problems in all areas, including scientific, engineering and multidisciplinary applications; innovative directions in high speed and large scale computing, strategies, experiences and conclusions. TOPIC AREAS Section 1: Applications The application of parallel computers to solve computationally challenging problems in the physical and life sciences, engineering, industry and commerce. The treatment of complex multidisciplinary problems occurring in all application areas such as: space, geographic, climate, environment and energy systems biological, genetic and medical applications industrial (manufacturing) and business and financial applications is of special interest. The parallel processing algorithms and paradigms used should be discussed. Section 2: Algorithms Design, analysis and implementation of generic parallel algorithms, including their scalability, in particular to a large number of processors (MPP), portability and adaptability. The parallel computing paradigm and/or the abstract machine model must be described. Section 3: Software and Architectures Software engineering for developing and maintaining parallel software, including parallel programming models and paradigms development environments, compile-time and run-time tools testing and debugging techniques and tools performance evaluation and benchmarking techniques and tools. Software, architectures and operating systems for all types of parallel computers may be considered, including heterogeneous reconfigurable systems, e. g. FPGA, GPU, Grids, parallel clouds, exascale systems, etc.

• Добавил в систему: Сальников Алексей Николаевич

Доклады:

• 2009 A data-flow modification of the MUSCLE algorithm for multiprocessors and a web interface for it
• Автор: Salnikov Alexey N.