In this video, Tor Skeie from Simula Labs presents: Dragonfly versus Fat-tree — the future of cluster topologies. Recorded at the HPC Advisory Council European Workshop at ISC’12 in Hamburg.
Industry Perspectives
Podcast: Deep Learning for Scientific Data Analysis
In this NERSC News Podcast, Debbie Bard from NERSC describes how Deep Learning can help scientists accelerate their research. "Deep learning is enjoying unprecedented success in a variety of commercial applications, but it is also beginning to find its footing in science. Just a decade ago, few practitioners could have predicted that deep learning-powered systems would surpass human-level performance in computer vision and speech recognition tasks." [Read More...]
White Papers
In-Network Computing and Next Generation HDR 200G InfiniBand
With the exponential growth of data that needs to be analyzed and the data resulting from ever-more complex workflows, the need for faster data movement has never been more challenging and critical to the worlds of High Performance Computing (HPC) and machine learning. Mellanox Technologies is once again moving the bar forward with the introduction of and end-to-end HDR 200G InfiniBand product portfolio. Download the new white paper, courtesy of Mellanox, that explores in-network computing and the benefits of the switch from 100G to 200G Infiniband.
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I recall reading this paper a couple of years ago. The interesting point at the end was (paraphrased) ‘hey: no hardware exists that supports our idea’. This hasn’t changed yet, has it?
I recall reading about this a couple of years back after someone had a talk with me about it at an SC. (cool Tshirt from the hpc lab in NO too) They problem was (paraphrased) ‘no hardware exists that supports this idea’. Has this changed?