Short for multiple instruction, multiple data.
A type of parallel computing
architecture that is classified under
Flynn's taxonomy. Multiple computer
instructions, which may or may not be the same,
and which may or may not be synchronized with each other, perform actions
simultaneously on two or more pieces of data. The class of distributed memory
MIMD machines is the fastest growing segment of the family of high-performance
computers (Charles Belov, 1997).
Introduction to Parallel Computing This presentation covers the basics of parallel computing. Beginning with a brief overview and some concepts and terminology associated with parallel computing, the topics of parallel memory architectures and programming models are then explored.
Michael J. Flynn Michael Flynn received his Ph.D. from Purdue University in 1961. He joined IBM in 1955 and for 10 years worked in the areas of computer organization and design. He was design manager of prototype versions of the IBM 7090 and 7094/II, and later for the System 360 Model 91 Central Processing Unit.
Tommesani Programming Methods A widely used classification of parallel systems, due to Michael J. Flynn, is based on the number of simultaneous instruction and data streams seen by the processor during program execution.
