Reviewing Single-Instruction-Multiple-Data machines, this work covers such topics as the architectural concept of the technology, programming languages and applications. It discusses specific machines and includes data on neural nets, stereo image processing and orbit analysis.

The aim of this work is to provide a comprehensive review of Single-Instruction-Multiple-Data machines, a type of parallel processing computer that has grown to importance in recent years. It describes various aspects of this technology, including the architectural concept, its history, hardware implementations, major programming languages, algorithmic methods, representative applications and an assessment of benefits and drawbacks. There are data on neural nets, seismic analysis, electromagnetic scattering, network flow optimization and orbit analysis. Focusing on the data parallel paradigm instead of the more familiar program parallel scheme, the book is organized into nine chapters. The first two provide an introduction and background information covering basic concepts and a description of early SIMD computers. The text then addresses specific machines from the first SIMD supercomputer (Iliac IV) through several contemporary designs to some example research computers. The final chapter contains a commentary on the lessons learned.

INTRODUCTION. BACKGROUND. SIMD vs. MIMD. Fine Grain vs. Coarse Grain. Connectivity. Early Machine-PEPE
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I. ILLIAC IV-THE FIRST SIMD SUPERCOMPUTER. History. The Illiac IV System. The CFD Language. Language Review. Performance. Seismic Analysis Application. Landsat Analysis. Synthetic
Aperture Radar. Fast Fourier Transform. Linear Programming Image Enhancement. Comments on Some Case Studies. The Effects of the Illiac IV System on Computing Technology. THE MASSIVELY PARALLEL PROCESSOR (MPP). The MPP Design. Parallel Forth Language. Parallel Pascal Design. I Using Spin Exchange Simulation. Stereo Analysis. Sort. THE DISTRIBUTED ARRAY OF PROCESSORS (DAP). The DAP Design. Parallel Data Transforms. Solution of a Large Systems of Equations. Image Understanding.
THE GEOMETRIC ARITHMETIC PARALLEL PROCESSOR (GAPP). The GAPP Design. GAPP Programming. GAPP System. THE CONNECTION MACHINE (CM). The CM System. Overview. The Connection Machine. The Datavault. Programming. The *LI SP Language. The C* Language. The PARIS Language. Applications. Physics. Operations Research. Image Processing. Miscellaneous. RESEARCH SIMD COMPUTERS. GAM. CLIP4. Commentary. Appendix: Fault Tolerant SIMD. Index.