Jungle computing

{{Short description|Type of distributed computing}}

Jungle computing is a form of high performance computing that distributes computational work across cluster, grid and cloud computing.Jason Maassen, et al Towards jungle computing with Ibis/Constellation in Proceedings of the 2011 workshop on Dynamic distributed data-intensive applications, programming abstractions, and systems, ACM New York, {{ISBN|978-1-4503-0705-5}} [http://www.3keys.ch/MySL/WPF/Cloud/Springer-Verlag%20Grids,%20Clouds%20and%20Virtualization.pdf#page=165]{{Dead link|date=January 2025 |bot=InternetArchiveBot |fix-attempted=yes }}Jungle Computing: Distributed Supercomputing Beyond Clusters, Grids, and Clouds by Frank Seinstra et al in "Grids, Clouds and Virtualization, Computer Communications and Networks", {{ISBN|978-0-85729-048-9}}. Springer-Verlag London Limited, 2011, p. 167 [http://adsabs.harvard.edu/abs/2011gcv..book..167S]

The increasing complexity of the high performance computing environment has provided a range of choices beside traditional supercomputers and clusters. Scientists can now use grid and cloud infrastructures, in a variety of combinations along with traditional supercomputers - all connected via fast networks. And the emergence of many-core technologies such as GPUs, 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".