Using Shared Arrays in Message-Driven Parallel Programs

This paper describes a safe and efficient combination of the object-based message-driven execution and shared array parallel programming models. In particular, we demonstrate how this combination engenders the composition of loosely coupled parallel modules safely accessing a common shared array. That loose coupling enables both better flexibility in parallel execution and greater ease of implementing multi-physics simulations. As a case study, we describe how the parallelization of a new method for molecular dynamics simulation benefits from both of these advantages. We also describe a system of typed handle objects that embed some of the determinacy constraints of the Multiphase Shared Array programming model in the C++ type system, to catch some violations at compile time. The combined programming model communicates in terms of these handles as a natural means of detecting and preventing errors.

Phil Miller, Aaron Becker and Laxmikant Kale. "Using Shared Arrays in
Message-Driven Parallel Programs". 16th International Workshop on
High-Level Parallel Programming Models and Supportive Environments,
held in conjunction with IPDPS 2011, Anchorage, AK.

@inproceedings{2011:miller:msa,
  title="Using Shared Arrays in Message-Driven Parallel Programs",
  author="Phil Miller and Aaron Becker and Laxmikant Kal\'e",
  booktitle="16th International Workshop on High-Level Parallel Programming Models and Supportive Environments, held in conjunction with IPDPS 2011",
  month="May",
  year="2011",
  address="Anchorage, AK"
}