Data parallel programming with the khoros data services library

Abstract

The distributed data service library allows developers to control the distribution of data in a parallel program simply by setting attributes on a distributed data object. This interface provides the power of a data parallel programming paradigm by abstracting all the low-level communication required for effecting a data distribution. The simplicity of the interface should also facilitate the porting of serial routines to run on parallel architectures. The emphasis in the development of distributed data services has been to provide a framework which addresses the common problems encountered in writing even the simplest data parallel programs, while still being extensible to problems which are less frequently encountered, and often more complicated. Distributed data services allows developers writing such applications to use low-level MPI calls as necessary. In this way, distributed data services combines the convenience of a data parallel language such as HPF with the flexibility of the message passing library MPI.