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 guest article, our friends at Intel discuss how accelerated computing has diversified over the past several years given advances in CPU, GPU, FPGA, and AI technologies. This innovation drives the need for an open and cross-platform language that allows developers to realize the potential of new hardware, minimizes development cost and complexity, and maximizes reuse of their software investments.
Many new technologies used in High Performance Computing (HPC) have allowed new application areas to become possible. Advances like multi-core, GPU, NVMe, and others have created application verticals that include accelerator assisted HPC, GPU based Deep Learning, Fast storage and parallel file systems, and Big Data Analytics systems. In this special insideHPC technology guide sponsored by our friends over at Tyan, we look at practical hardware design strategies for modern HPC workloads.
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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.