Partner Program Computational Hardware
Partner program hardware options are compatible
with the general HPC hardware being operated
by OIT. Compatible hardware allows limited
systems staff to effectively support a large
number of systems - since the systems effort
required to manage the cluster increases very
little with additional compatible hardware.
The hardware environment currently available for partners
is:
- a distributed memory Linux cluster environment based on
IBM BladeCenter
hardware
Distributed Memory Linux Cluster
Partners can choose between
Intel dual/quad-core Xeon based or
AMD Opteron based
Linux cluster compute nodes. These compute nodes have two multicore
processors (currently dual and quad core Xeon or Opteron)
and are typically configured with 2GB of memory per processing core
and a 73GB disk.
Partner cost for Linux cluster compute nodes is the actual
cost of the blade with three years of maintenance included.
OIT provides chassis space and all other
necessary infrastructure for Gigabit Ethernet connection to
the henry2 cluster for blades.
InfiniBand low latency interconnect options are
available for partner compute nodes (with additional cost).
Management of Partner Compute Resources
Both the distributed memory Linux cluster and
the shared memory system use Platform LSF for
resource management and scheduling.
LSF fair share scheduling is used to provide
equitable access to compute resources.
Partners have a dedicated LSF queue that provides
access to their compute resources. Also,
the LSF fair share value for partners reflects
their participation in the overall resource.
This allows partners to utilize their resources
through their exclusive queue or to utilize
general resources with a higher priority
(based on fraction of overall resources owned
by the partner).
All access to compute nodes is through LSF.
Separate, shared login nodes provide access to
all HPC compute resources.
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Advantages
The HPC compute node Partner
Program offers compelling advantages
for both the faculty partner and
for the university.
Partner Advantages (services provided by university)
+ secure space
+ power (including UPS and diesel generator)
+ cooling
+ rack (including rack power distribution)
+ network infrastructure (including message passing
network for distributed memory nodes)
+ system administration and maintenance
+ priority access to additional compute resources
+ access to shared storage and file systems
+ access to university licensed software (compilers, debuggers,
optimized math libraries, performance analyzers, ...)
+ system and computational science support from HPC staff
University Advantages
+ multiplies resources provided by university HPC
investment
+ increased HPC resource utilization yields more
efficient use of university-wide research computing
dollars
+ scaling benefits reduce university-wide cost of
HPC facilities (a few large power and cooling units
vs. many small power and cooling units)
+ scaling benefits reduce university-wide cost of
HPC system support (incremental system administration
and maintenance load for compatible hardware is very
small - that is it takes nearly the same work to
operate an 8-processor cluster as it does to operate
a 100-processor cluster)
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