International Conference on Parallel Computing 2013, ParCo2013
ParCo2013 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 parallel 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 aim of the conference is to give an overview of the state of the art of the developments, applications, and future trends in parallel computing for the whole range of platforms. The conference addresses all aspects of parallel computing, including applications, hardware and software technologies as well as languages and development environments.
Section 1: Algorithms
Design, analysis, and implementation of parallel algorithms in science and engineering, focusing on issues such as:
* Scalability and speedup
* Efficient utilization of the memory hierarchy
* Communication and synchronization
* Data management and exploration
* Energy efficiency
The parallel computing aspects should be emphasized.
Section 2: Software and Architectures
Software engineering for developing and maintaining parallel software, including:
* Parallel programming languages, compilers, and environments
* Tools and techniques for generating reliabl;e and efficient parallel code
* Parallel programming languages, compilers and environments
* Testing and debugging techniques and tools
* Best practices of parallel computing on multicore, manycore, and stream processors.
Software, architectures and operating systems for all types of parallel computers may be considered, including multicores, GPU accelerators, FPGA reconfigurable systems, high-end machines and cloud computing.
Section 3: Applications
The application of parallel computing to solve all types of business, industrial, scientific, and engineering problems using high-performance computing technologies, in particular:
* Applications of high-end machines including exascale
* Applications of multicore / manycore processors
* GPU-based applications
* Cloud and Grid computing applications.