Jungle computing is a form of high performance computing that distributes computational work across cluster, grid and cloud computing.
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".
See also
References
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 [1][permanent dead link] /wiki/ISBN_(identifier) ↩
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 [2] /wiki/ISBN_(identifier) ↩
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 [1][permanent dead link] /wiki/ISBN_(identifier) ↩