Data Organization in Parallel Computers

Front Cover
Springer US, Jan 31, 1989 - Computers - 248 pages
0 Reviews
The organization of data is clearly of great importance in the design of high performance algorithms and architectures. Although there are several landmark papers on this subject, no comprehensive treatment has appeared. This monograph is intended to fill that gap. We introduce a model of computation for parallel computer architec tures, by which we are able to express the intrinsic complexity of data or ganization for specific architectures. We apply this model of computation to several existing parallel computer architectures, e.g., the CDC 205 and CRAY vector-computers, and the MPP binary array processor. The study of data organization in parallel computations was introduced as early as 1970. During the development of the ILLIAC IV system there was a need for a theory of possible data arrangements in interleaved mem ory systems. The resulting theory dealt primarily with storage schemes also called skewing schemes for 2-dimensional matrices, i.e., mappings from a- dimensional array to a number of memory banks. By means of the model of computation we are able to apply the theory of skewing schemes to var ious kinds of parallel computer architectures. This results in a number of consequences for both the design of parallel computer architectures and for applications of parallel processing.

From inside the book

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

Data Communication and Data Organization in Parallel Com
1
Arbitrary Skewing Schemes for dDimensional Arrays
33
Compactly Representable Skewing Schemes for dDimensional
83
Copyright

4 other sections not shown

Other editions - View all

Common terms and phrases

References to this book

All Book Search results »

Bibliographic information