An object-oriented parallel programming language for distributed-memory parallel computing platforms
In object-oriented programming (OOP) languages, the ability to encapsulate software concerns of the dominant decomposition in objects is the key to reaching high modularity and loss of complexity in large scale designs. However, distributed-memory parallelism tends to break modularity, encapsulation, and the functional independence of objects, since parallel computations cannot be encapsulated in individual objects, which reside in a single address space. For reconciling object-orientation and distributed-memory parallelism, this paper introduces OOPP (Object-Oriented Parallel Programming), a style of OOP where objects are distributed by default. As an extension of C++, a widespread language in HPC, the PObC++ language has been designed and prototyped, incorporating the ideas of OOPP. (C) 2013 Elsevier B.V. All rights reserved.
parallel programming languages object-oriented programming languages parallel programming techniques high performance computing