Parallaxis-III: architecture-independent data parallel processing

Parallaxis-III: Architecture-Independent Data Parallel Processing

Parallaxis-III is an architecture-independent data parallel programming language based on Modula-2. It has been designed for teaching data parallel concepts and is in use at a large number of institutions. Compilers exist for data parallel systems as well as for a sequential simulation system. A data parallel graphics debugger allows efficient source level analysis for parallel programs.

An Architecture-Independent Software Development Approach for Parallel Processing Systems

In th is paper, a n architecture-independent software development approach for parallel processing sy s t ems i s presented. T h i s approach is based o n the parallel objectoriented and func t ional computa t ion model PROOF and separates the architecture dependent issues f r o m software development. I t also facil i tates software developm e n t for any parallel processing sys tems by reliev...

Massively Parallel Processing: Architecture

INTRODUCTION Organizations today require a great deal more processing power to accommodate new kinds of applications, such as an information delivery facility, data mining, and electronic commerce. This need for large computing cycles may be met relatively inexpensively through massively parallel processing. Although massively parallel processors have been around for some time, their use has be...

A Data Model For Architecture Independent Parallel Programming

This paper presents a common data model for both shared and distributed parallel programming. Our model aims at parallel application programming, especially in the field of data parallelism. We introduce coordinators shared objects which automatically perform synchronization in shared memory programming and remote communication in distributed programming. Programming with coordinators allows a ...

Architecture-independent distributed query processing