University:
Boston University
Course:
MET CS 201 | Introduction to Programming
Academic year:

2020
Views:

145

Pages:

11
Author:

Clint W.

INTRODUCTION TO MATLAB PARALLEL COMPUTING TOOLBOX • The Parallel Computing Toolbox is a MATLAB tool box. • This tool box provides parallel utility functions to enable users to run MATLAB operations or procedures in parallel to speed up processing time. There are two types of parallel applications.  Distributed Jobs – task parallel  Parallel Jobs – data parallel A parallel job is: Examples of a parallel job include many linear algebra applications : matrix multiply; linear algebraic system of equations solvers; Eigen solvers. Some may run efficiently in parallel and others may not. It depends on the underlining algorithms and operations. This also include jobs that mix serial and parallel processing. Parallel utility functions:  Amount of effort depends on code and parallel paradigm used.  Many MATLAB functions you are familiar with are overloaded to handle parallel operations based on the variables’ data type. Example: Run a job “interactively” Computes 1x4, 3x2 random arrays on 2 cores, locally or on Katana application m-file rows columns Parallel config. or ‘SGE’ >> y = dfeval(@rand, {1 3}, {4 2}, 'Configuration',‘local‘) Submitting task 1 Job output will be written to: /usr1/scv/kadin/Job6_Task1.out QSUB output: Your job 211908 ("Job6.1") has been submitted Submitting task 2 Job output will be written to: /usr1/scv/kadin/Job6_Task2.out QSUB output: Your job 211909 ("Job6.2") has been submitted y = [1x4 double] [3x2 double] For task-parallel applications on the Katana Cluster, we strongly recommend the use of an SCV script instead of . This script does not use the PCT. Two ways to run parallel jobs: or Use these procedure turns on (or off) parallelism and allocate (or deallocate) resources. is a special mode of application; useful for learning the PCT and parallel program prototyping . is the general mode of application; it can be used for and processing. >> pmode start local % assuming 4 workers are available Above is a MATLAB window on a Katana node. A separate Parallel Command Window is spawned. (Similar for Windows) In Room B27, each thin client has 2 cores (workers). >> pmode start local % use 4 workers in SPMD (parallel) mode PCT terminologies: worker = processor processor number Number of processors Worker number Command entered Enter command here  Any command issued at the “P>>” prompt is executed on all workers. Enter “labindex” to query for workers’ ID.  Use conditional with to issue instructions to specific workers, like this: pmode • Replicate array P>> A = magic(3); % A is replicated on every worker • Variant array P>> A = magic(3) + labindex – 1; LAB 1 | |8 |3 |4 1 5 9 LAB 2 | 6|9 7|4 2|5 2 6 10 LAB 3 | 7|10 8| 5 3| 6 • Private array P>> if labindex==2, LAB 1 | | | |9 |undefined|4 | |5 Spring 2012 LAB 2 2 6 10 3 7 11 % labindex=1,2,3,4 LAB 4 | 8|11 9| 6 4| 7 4 8 12 9 10 5 A = magic(3) + labindex – 1; end LAB 3 LAB 4 | | 7| | 8|undefined|undefined 3| | 13

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