Chameleon: Why Computer Scientists Need a Cloud of Their Own

May 5, 2016

Chameleon, the NSF-funded cloud testbed co-located at the University of Chicago and the Texas Advanced Computing Center, has been operating less than one year, Read more…

NSF Rolls Out Innovative Cloud Testbeds

August 21, 2014

The National Science Foundation (NSF) announced funding for two cloud testbeds, named "Chameleon" and "CloudLab.” A total award of $20 million to be split eve Read more…

Learning from Clouds Past: A Look Back at Magellan

February 1, 2012

Despite high-hopes, community support, and a lot of good science, the Magellan cloud computing project has ended after a two-year run. Like the famous explorer, the current-day Magellan also navigated uncharted waters and documented the journey for the benefit of future generations. The results of the two-year study are now available in the form of an extensive 169-page report. Read more…

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Whitepaper

5 HPC Optimization Techniques

For many organizations, decisions about whether to run HPC workloads in the cloud or in on-premises datacenters are less all-encompassing and more about leveraging both infrastructures strategically to optimize HPC workloads across hybrid environments. From multi-clouds to on-premises, dark, edge, and point of presence (PoP) datacenters, data comes from all directions and in all forms while HPC workloads run in every dimension of modern datacenter schemes. HPC has become multi-dimensional and must be managed as such.

This white paper explores several of these new strategies and tools for optimizing HPC workloads across all dimensions to achieve breakthrough results in Microsoft Azure.

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