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.
This whitepaper reviews how cutting-edge solutions from Supermicro and NVIDIA are enabling customers to transform and capitalize on HPC and AI innovation. Data is the driving force for success in the global marketplace. Data volumes are erupting in size and complexity as organizations work to collect, analyze, and derive intelligence from a growing number of sources and devices. These workloads are critical to powering applications that translate insight into business value.
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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.