In this video, Shane Moeykens from Ansys presents: Leveraging HPC and Optimizing the IT Environment for Engineering Simulation. The presentation was recorded at the HPC Advisory Council Stanford Conference 2013. Download the slides (PDF).
In this video, Shane Moeykens from Ansys presents: Leveraging HPC and Optimizing the IT Environment for Engineering Simulation. The presentation was recorded at the HPC Advisory Council Stanford Conference 2013. Download the slides (PDF).
insideHPC in association with the technology analyst firm OrionX.net today announced the launch of the @HPCpodcast, featuring OrionX.net analyst Shahin Khan and Doug Black, insideHPC’s editor-in-chief. @HPCpodcast is intended to be a lively and informative forum examining key technology trends driving high performance computing and artificial intelligence. Each podcast will feature Khan and Blacks’ comments on the latest HPC news and also a deeper dive into a focused topic. In our first @HPCpodcast episode, we talk about a recent spate of good news for Intel before taking up one of the hottest areas of the advanced computing arena: new HPC-AI chips. You can find the @HPCpodcast on insideHPC and on Twitter. Here’s the RSS feed: http://orionx.net/category/audio-podcast/feed We welcome your suggestions [READ MORE…]
In order to derive meaning from big data, via implementing the capabilities of big data analytics, and create new opportunities and new value, organizations must find a way to obtain radically increased overall system throughput. This whitepaper describes how the GigaIO FabreX network makes such accelerated functionalities possible by achieving exceptionally low latency and high-bandwidth performance across an organization’s entire network.
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This presentation misses the most glaring issue with commercial software providers, such as ANSYS, namely that their licensing models are extremely out of touch with the pace of Moore’s law. Add into that mix the fact that they want to ala carte you to death for things like GPGPUs.
Rich – here is a great little side project for you. Track commercial software cost against hardware costs. With hardware, costs scale, with software it sadly misses the boat. You can spend $1.5M for something in the 100TF range for an fully depreciated life over 36 months. Commercial CAE software to run on that cluster (CFD, Crash, FEA, Chemistry) can hit you with that same number yearly.