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Jungle computing
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<p>Jungle computing is a form of <a href="/facts/High_performance_computing/HT9NwGAN">high performance computing</a> that <a href="/facts/Distributed_computing/o5nyhqTF">distributes</a> computational work across <a href="/facts/Cluster_computing/mT7S1BcX">cluster</a>, <a href="/facts/Grid_computing/2GQhzN5l">grid</a> and <a href="/facts/Cloud_computing/guhg0FGV">cloud computing</a>. </p><p>The increasing complexity of the high performance computing environment has provided a range of choices beside traditional supercomputers and <a href="/facts/Cluster_computing/mT7S1BcX">clusters</a>. Scientists can now use <a href="/facts/Grid_computing/2GQhzN5l">grid</a> and <a href="/facts/Cloud_computing/guhg0FGV">cloud</a> infrastructures, in a variety of combinations along with traditional <a href="/facts/Supercomputers/HT9NwGAN">supercomputers</a> - all connected via fast networks. And the emergence of <a href="/facts/Many-core/ozoxeNzT">many-core</a> technologies such as <a href="/facts/Graphics_processing_unit/PTK1RQVp">GPUs</a>, as well as supercomputers on chip within these environments has added to the complexity. Thus, high-performance computing can now use multiple diverse platforms and systems simultaneously, giving rise to the term "computing jungle". </p>