HeteroPar 2018 - 2018 International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms

Heterogeneity is emerging as one of the most profound and challenging characteristics of today's parallel environments. From the macro level, where networks of distributed computers, composed of diverse node architectures, are interconnected with potentially heterogeneous networks, to the micro level, where deeper memory hierarchies and various accelerator architectures are increasingly common, the impact of heterogeneity on all computing tasks is increasing rapidly. Traditional parallel algorithms, programming environments and tools, designed for legacy homogeneous multiprocessors, will at best achieve a small fraction of the efficiency and the potential performance that we should expect from parallel computing in tomorrow's highly diversified and mixed environments. New ideas, innovative algorithms, and specialized programming environments and tools are needed to efficiently use these new and multifarious parallel architectures. The workshop is intended to be a forum for researchers working on algorithms, programming languages, tools, and theoretical models aimed at efficiently solving problems on heterogeneous platforms.
The topics to be covered include but are not limited to:
Heterogeneous parallel programming paradigms and models
Languages, libraries, and interfaces for different heterogeneous parallel programming models
Performance models and their integration into the design of efficient parallel algorithms for heterogeneous platforms
Parallel algorithms for heterogeneous and/or hierarchical systems, including manycores and hardware accelerators (FPGAs, GPUs, etc.)
Parallel algorithms for efficient problem solving on heterogeneous platforms (numerical linear algebra, nonlinear systems, fast transforms, computational biology, data mining, multimedia, etc.)
Software engineering for heterogeneous parallel systems
Applications on heterogeneous platforms
Algorithms, models and tools for energy optimization on heterogeneous platforms
Bi-objective optimization of applications on heterogeneous platforms for performance and energy
Integration of parallel and distributed computing on heterogeneous platforms
Experience of porting parallel software from supercomputers to heterogeneous platforms
Fault tolerance of parallel computations on heterogeneous platforms
Algorithms, models and tools for grid, desktop grid, cloud, and green computing
Authors are encouraged to submit original, unpublished research or overviews on Algorithms, Models and Tools for Parallel Computing on Heterogeneous Platforms, namely addressing the topics referred above.