Tag: UberCloud

Towards Ubiquitous HPC — Passing HPC into the hands of every engineer and scientist

Jan 7, 2016 |

Countless case studies demonstrate impressively the importance of HPC for engineering and scientific insight, product innovation, and market competitiveness. But so far HPC was mostly in the hands of a relatively small elite crowd, not easily accessible by the large majority.  In this article, however, we argue that – despite the ever increasing complexity of Read more…

UberCloud Marketplace for HPC as a Service Goes Live

Jan 29, 2014 |

UberCloud is the online community and marketplace where engineers and scientists can discover, try and buy the computing power and expertise on demand they need for their computational and data-intensive tasks. With the limits of their desktop workstations often unable to provide enough computing power and memory, simulations taking too long, and the number of Read more…

UberCloud Preps for Round Four of Cloud HPC Experiments

Aug 14, 2013 |

Since it launched last July, the UberCloud Experiment has held three rounds of trials that demonstrate the viability of running HPC workloads in the cloud. With the fourth round set to begin soon, attention once again focuses on encouraging the HPC community to invest in the development of cloud HPC resources that have the potential to benefit smaller organizations.

UberCloud Project Releases Compendium

Jun 27, 2013 |

The Compendium is a selection of 25 case studies from the first 60 teams to raise awareness in the digital manufacturing and HPC community about the benefits and best practices of using remote HPC capabilities in HPC centers and in the cloud.

UberCloud HPC Experiment Readies for Round Three

Mar 5, 2013 |

<img src=”http://media2.hpcwire.com/hpccloud/abstract_globe.jpg” alt=”” width=”94″ height=”84″ />The UberCloud Experiment is issuing an open invitation to members of the HPC, CAE, life sciences, and big data communities to join round three. Teams will be involved in applying the cloud computing services model to compute and data-intensive workloads on remote cluster computing resources. The idea behind the experiment is to explore the end-to-end process of using remote computing resources as a service, and learning to tackle the many roadblocks.

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