The alliance between high performance computing and artificial intelligence is proving to be a fruitful one for researchers looking to accelerate scientific discovery in everything from climate prediction and genomics to particle physics and drug discovery. …
A research collaboration between the National Cancer Institute (NCI) and Lawrence Livermore National Laboratory (LLNL) is demonstrating the value of using machine learning to overcome daunting computational challenges. …
To effectively make use of the level of concurrency in forthcoming exascale systems – hundreds of thousands of compute elements with millions of threads – requires some new thinking, both by programmers and in development tools. …
When you look at IBM, it is as if you are seeing many different instantiations of Big Blue across time playing out in the present, side by side. …
The potent combination of powerful CPUs, floating point laden GPU accelerators, and fast InfiniBand networking are coming to market and reshaping the upper echelons of supercomputing. …
There are plenty of things that the members of the high performance community do not agree on, there is a growing consensus that machine learning applications will at least in some way be part of the workflow at HPC centers that do traditional simulation and modeling. …
GPU computing has deep roots in supercomputing, but Nvidia is using that springboard to dive head first into the future of deep learning. …
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