Welcome to the PGAS Applications Workshop.

• Proceedings
• Program
• Important dates
• Summary
• Scope and Aims
• Topics
• Submissions
• Organization
  • Workshop Chair
  • Organizing Committee
  • Program Committee Chairs
  • Program Committee
  • Advisory Committee
• Contact

Program

• 9:00 - 9:05 Opening Morning Session
• 9:05 - 10:00 William Carlson - IDA Center for Computing Sciences
          Keynote Speaker
          Shared Memory HPC Programming: Past, Present and Future
       (Presentation)


• 10:00 - 10:30 Break


• 10:30 - 11:00 Nikhil Padmanabhan and Ben Albrecht
        Cosmological Particle-Mesh Simulations in Chapel
       (Presentation)


• 11:00 - 11:30 Max Grossman, Howard Pritchard, Zoran Budimlic and Vivek Sarkar
        Graph500 on OpenSHMEM: Using A Practical Survey of Past Work to Motivate
       Novel Algorithmic Developments
       (Presentation)
      

• 11:30 - 12:00 Hitoshi Murai, Masahiro Nakao, Hidetoshi Iwashita and Mitsuhisa Sato
        Preliminary Performance Evaluation of Coarray-based Implementation of Fiber
       Miniapp Suite using XcalableMP PGAS Language
       (Presentation)
      

• 12:00 - 12:30 Damian Rouson, Ethan Gutmann, Brian Friesen and Alessandro Fanfarillo
        Performance portability of an intermediate-complexity atmospheric research
       model in coarray Fortran
       (Presentation)


• 12:30 - 2:00 Lunch


• 2:00 - 2:05 Opening Afternoon Session
• 2:05 - 3:00 Mitsuhisa Sato - RIKEN Advanced Institute for Computational Science
         Keynote Speaker
         How does PGAS “collaborate” with MPI+X?
      (Abstract, Presentation)


• 3:00 - 3:30 Break


• 3:30 - 5:00 Katherine Yelick
       Panel Chair
       Panel Discussion
       Panelists:       
• William Carlson - IDA Center for Computing Sciences
• Bradford L. Chamberlain - Cray Inc.
• Damian Rouson - Sourcery Institute
• Mitsuhisa Sato - RIKEN Advanced Institute for Computational Science
• Anton Shterenlikht - University of Bristol
• Lauren L. Smith - U.S. Department of Defense

Important dates

• Submission Deadline: July 31, 2017 August 15, 2017 (final extension)
• Author Notification: September 15, 2017
• Camera Ready: October 1, 2017
• Workshop Date: November 13, 2017

Summary

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

Topics include, but are not limited to:

• Novel application development using the PGAS model.
• Real-world examples demonstrating performance, compiler optimization, error checking, and/or reduced software complexity.
• Applications from big data analytics, bioinformatics, and other novel areas.
• Performance evaluation of applications running under PGAS.
• Algorithmic models enabled by PGAS model.
• Compiler and runtime environments.
• Libraries using/supporting PGAS and applications.
• Benefits of hardware abstraction and data locality on algorithm implementation.

Submissions

Submissions are solicited in two categories: