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However, these new tools require a great deal of compute time and
power to perform their calculations. With vast libraries of data
and complex and numerous computational tests, the use of materials
modeling applications can often increase the time it takes to perform
research and analysis.
QLogic enabled high performance computing clusters
helps solve this problem. By allowing chemical and materials companies
to leverage their existing and new arsenal of high-performance servers,
workstations, and storage resources into a single compute infrastructure,
QLogic can help unleash the processing power needed to support
applications in areas like quantum mechanics, food engineering,
polymer science, sequence fragment assembly, and geometric optimization.
Expand Scope of Research and Analysis
QLogic interconnected high performance computing
clusters enable chemical and materials science companies to accelerate
modeling by speeding the processes of simulation, design, and analysis.
By working faster, QLogic enabled application clusters can
process greater amounts of data and return more reliable results
improving both the scope and quality of research.
Speed Time to Market
QLogic can help get products to market faster
by significantly reducing the time it takes to perform modeling
and simulation. QLogic enabled clusters can process data at
a highly accelerated rate, reducing the overall time for a product
to become commercially available. With a QLogic interconnected
cluster-computing solution, compute-intensive simulation applications
can be made far more effective and powerful.
Reduce or Eliminate Costs
In addition to the savings from reducing the time
to bring a product to market, QLogic’s solutions enable
companies to increase ROI by pooling existing servers, workstations,
and storage resources into a scalable grid architecture that can
be centrally managed and shared.
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