httpv://www.youtube.com/watch?v=sbmOsSS2fyg
In this video from the Adaptive Computing booth at SC12, Gabriel Mateescu from Virginia Tech presents: Using Moab Node-sets to Improve Job Scheduling.
Industry Perspectives
Podcast: SC19 Student Cluster Competition Preview
In this podcast, the Radio Free HPC team catches up with Jessi Lanum, a veteran of the SC19 Student Cluster Competition, for an insider peek on what it’s like to compete for cluster competition glory. “For the few of you who are not already fans of these events, here’s the lowdown: 16 student teams representing universities from around the world have been working their brains out designing, building, and tuning clusters provided by their sponsors. They can use as much hardware as they want, the only limitation is that their systems can’t use more than 3,000 watts during the competition.” [READ MORE…]
White Papers
Deep Learning for Natural Language Processing – Choosing the Right GPU for the Job
In this new whitepaper from our friends over at Exxact Corporation we take a look at the important topic of deep learning for Natural Language Processing (NLP) and choosing the right GPU for the job. Focus is given to the latest developments in neural networks and deep learning systems, in particular a neural network architecture called transformers. Researchers have shown that transformer networks are particularly well suited for parallelization on GPU-based systems.
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