PARADEIS: An Object Library for Parallel Sparse Array Computation

Authors:
Franck Delaplace;Didier Rémy
Affiliations:
-;-
Venue:
ParNum '99 Proceedings of the 4th International ACPC Conference Including Special Tracks on Parallel Numerics and Parallel Computing in Image Processing, Video Processing, and Multimedia: Parallel Computation
Year:
1999

Citing 7
Cited 0

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Abstract

Parallel programming of sparse data structure has been recognized to be hard to debug and to require an excessive amount of development time. The paradeis library (PARAllel Data Environment for Irregular Structure) is an object library that aims at providing a data-parallel approach with object oriented languages to ease the treatment of the sparse data structure for SPMD-like programs on Massively Parallel Processors (MPPs) with distributed memory. This paper focuses on the core of communication layout: the conversion of global addresses to communications, and its relationship with partitioning strategies.