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Parallel analysis, also known as Horn's parallel analysis, is a statistical method used to determine the number of components to keep in a principal component analysis or factors to keep in an exploratory factor analysis. It is named after psychologist John L. Horn, who created the method, publishing it in the journal Psychometrika in 1965. [1]
An initial version of this model was introduced, under the MapReduce name, in a 2010 paper by Howard Karloff, Siddharth Suri, and Sergei Vassilvitskii. [2] As they and others showed, it is possible to simulate algorithms for other models of parallel computation, including the bulk synchronous parallel model and the parallel RAM, in the massively parallel communication model.
1 func Floyd_All_Pairs_Parallel(()) { 2 for k := 1 to n do { 3 Each process , that has a segment of the k-th row of (), broadcasts it to the , processes; 4 Each process , that has a segment of the k-th column of (), broadcasts it to the , processes; 5 Each process waits to receive the needed segments; 6 Each process computes its part of the ...
Analysis of parallel algorithms is usually carried out under the assumption that an unbounded number of processors is available. This is unrealistic, but not a problem, since any computation that can run in parallel on N processors can be executed on p < N processors by letting each processor execute multiple units of work.
A massively multiplayer online role-playing game (MMORPG) is a video game that combines aspects of a role-playing video game and a massively multiplayer online game.. As in role-playing games (RPGs), the player assumes the role of a character (often in a fantasy world or science-fiction world) and takes control over many of that character's actions.
Pages in category "Analysis of parallel algorithms" The following 13 pages are in this category, out of 13 total. This list may not reflect recent changes. ...
In multivariate statistics, a scree plot is a line plot of the eigenvalues of factors or principal components in an analysis. [1] The scree plot is used to determine the number of factors to retain in an exploratory factor analysis (FA) or principal components to keep in a principal component analysis (PCA).
Parareal is a parallel algorithm from numerical analysis and used for the solution of initial value problems. [1] It was introduced in 2001 by Lions, Maday and Turinici.Since then, it has become one of the most widely studied parallel-in-time integration methods.