Abstract
High performance computing (HPC) has crossed the
Petaflop mark and is reaching the Exaflop range quickly.
The exascale system is projected to have millions of nodes,
with thousands of cores for each node. At such an extreme
scale, the substantial amount of concurrency can cause a
critical contention issue for I/O system. The contention can
destroy the request locality, increase the access latency, and
waste the precious I/O interconnection bandwidth. This
study proposes a dynamically coordinated I/O architecture
for exascale systems. The fundamental idea is to coordinate
I/O accesses according to access pattern, network topology,
interconnection condition, and data distribution on storage
devices to reduce the contention and regain the locality.
The preliminary results have shown the promise of a
dynamically coordinated I/O architecture. It has a potential
to manage the substantial amount of I/O concurrency and
provides a scalable I/O architecture for exascale syst
| Original language | English |
|---|---|
| State | Published - Nov 14 2011 |