Think
fast! Nor-Tech cluster helps speed up
neurological diagnoses

Nor-tech’s cluster solution allows
scientists to rapidly experiment with new algorithms which dramatically
speed up research productivity. High-performance clusters are
gaining popularity in Bioinformatics, a field of Computational
Biology which applies algorithms and statistical techniques
to biological datasets.
|
The
Challenge
Diagnosing neurological disorders is far from a “no-brainer”.
But promising new research at the University of Minnesota shows
that patterns of neural activity from patients with a range of brain
conditions can be evaluated by analyzing magnetic fields outside
the patients’ skulls. The magnetic fields, which are created
by electrical activity in the brain, are measured with a non-invasive
imaging technique called magnetoencephalography (MEG).
A medical firm and licensee of the university’s medical technology,
is using this process to develop a fast and simple clinical application
to screen for brain disease and disorders (such as Alzheimer’s
disease, schizophrenia and multiple sclerosis).
To make diagnoses as accurate as possible, the research team is
using MEG to assemble a vast library of scans, sampling both healthy
and diseased brains. This results in a very large dataset of MEG
scans, each with roughly 7.6 million data points. All of this data
needs to be processed through their algorithms which, for some scans,
can take days. With up to twenty new scans coming in each day, they
realized they needed some faster thinking technology.
The Solution
Nor-Tech developed a Rocks / Linux Data Center Cluster that was
custom configured to meet the compute, network interconnect and
storage needs of the medical firm.
To schedule job execution, the cluster uses Sun Grid Engine (SGE)
which provides policy-based workload management and dynamic provisioning
of application workloads. Thanks to the speed of running the robust
SGE on the cluster, what used to take hours or days now is completed
in a fraction of the time!
The cluster allows the research team to rapidly experiment with
new algorithms which dramatically speed up research productivity.
For example, previously, if they wanted to test a new technique
with 80 scans it would require hours of processing, Now, however,
the total time to process can be under ten minutes.
When perfected, the technique will be used to diagnose brain disorders
earlier, monitor their progress and track the effectiveness of new
drugs and treatments. With the aid of a Nor-Tech HPC Cluster, which
came in on-time and under budget, their process may be available
even sooner than expected.
Contact us
today, and talk to one of our experts about how Nor-Tech can design,
develop and implement custom solutions, tailored specifically
to your unique challenges. |