Welcome to the PGAS Applications Workshop.


Important dates


The race towards Exascale computing is on, and a lot of stress is put on researchers to break the boundaries of productivity and efficiency imposed by traditional programming models. Partitioned Global Address Space (PGAS) languages are an effective alternative, and the most promising path towards sustainable programming environments for exascale machines. Languages such as UPC, Fortran, Chapel, and X10 are now more widely available than ever, thanks to increased support from vendors and open-source communities. PGAS models also take the form of meta-languages and libraries, such as Unified Parallel C++ (UPC++), Co-Array C++, OpenSHMEM, MPI-3 and Global Arrays. These have the benefit of being integrated with existing languages, simplifying the learning curve for existing programmers.

Significant improvements in the availability of PGAS compilers and support software have been achieved in the last few years; these open up more opportunities than ever for researchers and developers to test new strategies and port applications to more demanding requirements.

Following on the success of PAW16, we invite you to take part in the second PGAS Application Workshop, and to join its vibrant and diverse community of researchers and developers.

Scope and Aims

The scope of the PAW workshop is to provide a forum for exhibiting case studies of PGAS programming models in the context of real-world applications as a means of better understanding practical applications of PGAS technologies. We encourage the submission of papers and talks detailing practical PGAS applications, including characterizations of scalability and performance, of expressiveness and programmability, as well as any downsides or areas for improvement in existing PGAS models. In addition to informing other application programmers about the potential that is available through PGAS programming, the workshop is designed to communicate these experiences to compiler vendors, library developers, and system architects in order to achieve broader support for PGAS programming across the community.

We also specifically encourage submissions covering big data analytics, deep learning, and other novel and emerging application areas, beyond traditional scientific HPC domains.


Topics include, but are not limited to:


Submissions are solicited in two categories:

  • Full-length papers presenting novel research results:
  • Extended abstracts summarizing published/preliminary results: Submissions shall be submitted through EasyChair; they must conform to ACM Guidelines. Accepted full-length papers will be given longer presentation slots at the workshop than the abstract-only option


    Workshop Chair

    Karla Morris - Sandia National Laboratories

    Organizing Committee

    Program Committee Chairs

    Program Committee

    Advisory Committee


    In case of questions please email us at: paw17@cranfield.ac.uk