S U P E R C O M P U T I N G

Starting with a computer-aided design (CAD) model of the Hubble Space Telescope, researchers used the KeyShot

rendering software to create a realistic high-definition image of how the satellite would appear in orbit. This software

is an invaluable tool for design visualization, allowing NASA to display a design at any point along its design

continuum. Leveraging the Goddard Private Cloud (GPC) has increased rendering speeds up to three times.

Benjamin Mignosa, Al Goncer, NASA/Goddard

This map shows the density of ASTER L1A Digital Elevation Models (DEMs) processed with Ames Stereo

Pipeline stereogrammetry routines on Advanced Data Analytics Platform (ADAPT) virtual machines in the last

2 years. These data will contribute to scientists’ understanding of glacier mass balance in High Mountain Asia.

Paul Montesano, Batu Osmanoglu, NASA/Goddard

Hoot Thompson, NASA Goddard Space Flight Center

NASA scientists are increasingly burdened with performing large-scale data analysis. Applying traditional high-performance computing (HPC) solutions to solving big data problems seems efficient, but HPC systems are optimized for highly paralyzed applications. In response, the NASA Center for Climate Simulation (NCCS) created the Advanced Data Analytics Platform (ADAPT). ADAPT combines HPC and virtualization technologies to form a private cloud optimized for data analytics. ADAPT’s success led directly to the Goddard Private Cloud (GPC), a new virtual machine (VM) environment built using OpenStack technology. The GPC leverages the breadth of cloud functionality to serve a broader community with a more self-provisioning approach. The NCCS is also evaluating commercial clouds, including cloud bursting, to extend on-premises resources.

SCIENCE MISSION DIRECTORATE

HPC in the Cloud? … Yes, HPC in the Cloud!

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