High Performance Computing (HPC)

Bringing Super Computing, Climate and Weather to the Desktop
Imagine running a detailed climate analysis for anywhere in the world on your desktop at the click of a mouse
Imagine running a detailed climate analysis for anywhere in the world on your desktop at the click of a mouse

NSAP computing is focused on providing scalable solutions to high–resolution numerical modeling with demanding data storage requirements. By keeping abreast of the increasing speed and density of rack–mounted cluster computing, NSAP delivers climate analyses and real–time weather predictions that easily fit within a single rack (standard 42U) of equipment. Pushing even further into the Teraflop environment provided by GPUs (graphical processing units), NSAP is aiming for a desktop platform that provides climate and weather simulations previously only possible on super computers.

NSAP custom solutions for climate analysis and predictive weather range from field transportable, dense computing servers delivered to coastal regions for on demand analysis, to the multi-rack configurations of commodity servers and blades utilizing the latest in HPC technology including Infiniband, message passing interfaces and job scheduling tools for continual computing requirements.

Network Attached Storage Topology

NSAP has deployed close to 200TB of parallel IO, network accessible storage to a variety of HPC projects which require high availability, redundancy and scalability as meteorologic and climate data sets continue to expand. NSAP has partnered with vendors such as Panasas, NetApp and Cisco to deliver storage topologies over 10GbE fiber, ethernet and IPoIB which provide high performance, low latency access to large name space volumes.

Data intensive applications such as WRF and NSAP software responsible for post-processing terabytes of raw data can be shared more readily across different physical HPC clusters without the need for time, and capacity, consuming copies of large results- allowing NSAP scientists to optimize time analyzing climate results rather than managing or coding to avoid data-on-disk bottlenecks.

Cloud Computing and Big Data

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High Performance Computing (HPC)