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Myths and Misconceptions about HPC for Engineering

Sep 11, 2014 |

In a recent blog post, Wim Slagter, lead product manager for High Performance Computing at ANSYS, Inc., tackles a set of six myths of high performance computing gleaned from conversations at various ANSYS Convergence Conferences. These six myths or misconceptions deal with HPC as it relates to engineering simulation: + HPC is available on supercomputers Read more…

Engineering Codes to Meet the Exascale Era

May 8, 2014 |

As we look to the future applications for exascale-class computers, the grand science challenges are often first on the list. From modeling the climate to the underpinnings of the universe, the problems most often associated with exascale computing are epic in scope. However, the range of complex, multidisciplinary engineering problems that can be solved with Read more…

Half-Time in the Uber-Cloud

Sep 20, 2012 |

<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/Hyperscale_small.bmp” alt=”” width=”111″ height=”68″ />Since its inception on June 28, the Uber-Cloud Experiment has attracted over 160 industry and research organizations and individuals from 22 countries. They all have one goal: to jointly explore the end-to-end process of remotely accessing technical computing resources sitting in HPC centers and in the cloud. With Round One of the experiment wrapping up, the organizers have generously provided a “half-time” report of the project.

Why Are CAE Software Vendors Moving to the HPC Cloud?

Sep 4, 2012 |

When it comes to running HPC workloads in the cloud, traditional software licensing models have presented a significant barrier to adoption. But as cloud becomes ever more entrenched, this is starting to change. More and more ISVs have started to experiment with cloud computing and are adjusting their licensing models accordingly.

GPU Tech Conference Wrap-Up

Sep 23, 2010 |

NVIDIA builds its case for GPU computing.