International Conference on Parallel Computing 2015, ParCo2015
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
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 reliable and efficient parallel code
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 computers, including exascale
Applications of multicore / manycore processors
Applications for heterogeneous systems, including FPGAs, GPUs, etc.
Cloud and Grid computing applications
Data intensive (Big Data) analytics and applications.