Recent advances in storage technologies and high performance
interconnects have made possible in the last years to build, more
and more potent storage systems that serve thousands of nodes.
Additionally, the hierarchical organization of current Petascale
systems and of the envisioned Exascale platforms contributes to an
increase of the I/O subsystem latency. In this dissertation we
present a novel generic parallel I/O architecture for clusters and
supercomputers. Our design is aimed at large-scale parallel
architectures with thousands of compute nodes. Besides acting as
middleware for existing parallel file systems, our architecture
provides on-line virtualization of storage resources. Another
objective of this thesis is to factor out the common parallel I/O
functionality from clusters and supercomputers in generic modules
in order to facilitate porting of scientific applications across
these platforms.
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