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Introduction

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.

Call for paper

Submission 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.

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Important Date
  • Nov 13

    2017

    Conference Date

  • Nov 13 2017

    Registration deadline

Sponsored By
美国计算机学会
IEEE 计算机学会