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dellswor
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week8 lab reimplementation (lost network, location, and controlled vehicle)
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additional information
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Here are a List of Exercises for you to do!!!
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Parallel Computing
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<div style="float: left; padding-right: 5px"><h1 class="Three-Dee">Parallel Computing</h1></div>
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<a href="./index.php" style="float: left"><img src="images/banner.png" alt="" title="CDUX: Research Group on Computing and Data Understanding at eXtreme Scale" height="150" width="600" border="0"></a>
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WWW/index.php

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Welcome to the Experimental 410/510 course which will cover topics in parrallel computing with a particular focus on shared memory systems.
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Parralel Computing: Parallel computing is a form of computation in which many calculations are carried out simultaneously, operating on the principle that large problems can often be divided into smaller ones, which are then solved concurrently. <a href="http://en.wikipedia.org/wiki/Parallel_computing" > < wiki > </a>
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In computing, shared memory is memory that may be simultaneously accessed by multiple programs with an intent to provide communication among them or avoid redundant copies. Shared memory is an efficient means of passing data between programs. Depending on context, programs may run on a single processor or on multiple separate processors. <a href="http://en.wikipedia.org/wiki/Shared_memory" > < wiki > </a>
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In computer science, distributed memory refers to a multiple-processor computer system in which each processor has its own private memory. Computational tasks can only operate on local data, and if remote data is required, the computational task must communicate with one or more remote processors. In contrast, a shared memory multi processor offers a single memory space used by all processors. Processors do not have to be aware where data resides, except that there may be performance penalties, and that race conditions are to be avoided. <a href="http://en.wikipedia.org/wiki/Distributed_memory" > < wiki > </a>
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