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Code optimiation
Power-efficient computing = more science per watt

Optimizing supercomputing code not only reduces execution time and allows models to run more efficiently on more processors, it also reduces the electricity cost of producing scientific results.

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The SIParCS class of 2017.
SIParCS Class of 2017 is Here

CISL welcomes the incoming class of student interns into its Summer Internships in Computational Science program (SIParCS).

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Model data and analyses for climate research

The North America CORDEX project quantifies the scientific benefits gained by increasing model resolution and explores uncertainty across the outputs of these models.

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Cheyenne back panel
Cheyenne triples NCAR’s scientific computing

The Cheyenne supercomputer can perform three times more scientific computing than Yellowstone, and it is three times more energy efficient.

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In the Spotlight

Information on Cheyenne Supercomputer

Learn more about the Cheyenne supercomputer, timelines for installation and deployment, and how to gain access to the system (staff only).