Jungle computing is a form of
high performance computing that
distributes computational work across
cluster,
grid and
cloud computing
Cloud computing is "a paradigm for enabling network access to a scalable and elastic pool of shareable physical or virtual resources with self-service provisioning and administration on-demand," according to International Organization for ...
.
[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,]
/ref>[''Jungle Computing: Distributed Supercomputing Beyond Clusters, Grids, and Clouds'' by Frank Seinstra et al in "Grids, Clouds and Virtualization, Computer Communications and Networks", . Springer-Verlag London Limited, 2011, p. 16]
/ref>
The increasing complexity of the high performance computing environment has provided a range of choices beside traditional supercomputers and Cluster computing , 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
* Heterogeneous computing
Heterogeneous computing refers to systems that use more than one kind of processor or core. These systems gain performance or energy efficiency not just by adding the same type of processors, but by adding dissimilar coprocessors, usually incor ...
References
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Supercomputing