Energy efficiency will be vital as we enter the new era of exascale computing. In this webcast from Scientific Computing World, experts from Nvidia, SGI and Lawrence Livermore National Laboratory offer their insights into the future of ‘Green HPC’.
Industry Perspectives
Interview: Gary Grider from LANL on the new Efficient Mission-Centric Computing Consortium
At SC18 in Dallas, I had a chance to catch up with Gary Grider from LANL. “So we’re forming a consortium to chase efficient computing. We see many of the HPC sites today seem to be headed down the path of buying machines that work really well with very dense linear algebra problems. The problem is: hardcore simulation can often not be a great fit on machines built for high Linpack numbers.” [READ MORE…]
White Papers
Machine Learning in Energy: A Hot Spot in Seismic Processing
Artificial intelligence and machine learning, based on widely available hardware and novel software techniques, give energy exploration companies the confidence to pinpoint drilling locations, resulting in lower costs. Download the new insideHPC special report, courtesy of Dell EMC and Nvidia, to learn how HPC technology is being used for energy exploration, ranging from drilling and well completion to modeling oil-refining strategies.
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