WEHA 2018 - International Workshop on Exploitation of high performance Heterogeneous Architectures and Accelerators (WEHA 2018)

For the last years, we have seen significant changes in processor architectures to improve computing performance and to overcome the physical limitations of increasing the clock frequency. The importance of hardware accelerators (GPUs, co-processors, FPGAs, etc.) has rapidly increased, especially in the computationally demanding disciplines such as realistic 3D computer graphics and high-performance scientific computing. The use of these accelerators for General-Purpose computation achieves speedups of orders of magnitude versus optimized CPU implementations, as well as reduces energy requirements. They have become powerful, capable, and inexpensive co-processors useful for a wide variety of computation.
Moreover, it has become a common trend to see the development of clusters and supercomputers, where nodes include not only CPU cores but also accelerators. An efficient exploitation of these heterogeneous systems requires sharing the work among all available resources.
The aim of this workshop is to strongly encourage the exchange of experiences and knowledge in novel solutions exploiting and defining new trends in hardware accelerators and/or heterogeneous systems, including hardware architecture, resource management, software tools, and applications.
The authors of the papers selected for the workshop will be invited to submit extended versions of their manuscripts to be considered for publication in a journal special issue.
The WEHA Workshop topics include (but are not limited to) the following:
Languages and Compilers for Hardware Accelerators
Programming Models for Heterogeneous Architectures
Resource Management of Heterogeneous Architectures
Libraries and Tools to Simplify the Programming of Hardware Accelerators and/or Heterogeneous Architectures
Manual and Automatic Performance Optimization Techniques for Hardware Accelerators and/or Heterogeneous Architectures
Application Development Experience on Hardware Accelerators and/or Heterogeneous Architectures
Benchmarking of Hardware Accelerators
Modeling and Performance Prediction for Hardware Accelerators and/or Heterogeneous Architectures
Application-specific Acceleration Hardware/Software
Algorithms and hardware architectures for reduced power, energy and heat
Accelerated Computing and Energy
Energy-Efficient Programming models for computing paradigms
Novel Accelerator and Heterogeneous Architectures
Case Studies related to Hardware Accelerators and/or Heterogeneous Architectures