Object-Oriented Parallel Programming

TL;DR

This paper presents an object-oriented framework for parallel programming where objects are treated as processes, enabling communication via remote method execution, especially suited for large data computations.

Contribution

It introduces a novel object-oriented approach that interprets programming objects as processes, facilitating parallelism and communication in large data applications.

Findings

Framework effectively models objects as processes

Supports communication through remote method calls

Suitable for large data object computations

Abstract

We introduce an object-oriented framework for parallel programming, which is based on the observation that programming objects can be naturally interpreted as processes. A parallel program consists of a collection of persistent processes that communicate by executing remote methods. We discuss code parallelization and process persistence, and explain the main ideas in the context of computations with very large data objects.