Cray Supercomputing as a Service Becomes a Reality
For a mature company that kickstarted supercomputing as we know it, Cray has done a rather impressive job of reinventing itself over the years. …
For a mature company that kickstarted supercomputing as we know it, Cray has done a rather impressive job of reinventing itself over the years. …
The science fiction of a generation ago predicted a future in which humans were replaced by the reasoning might of a supercomputer. …
Big data, data science, machine learning, and now deep learning are all the rage and have tons of hype, for better—and in some ways, for worse. …
Graphics chip maker Nvidia has taken more than a year and carefully and methodically transformed its GPUs into the compute engines for modern HPC, machine learning, and database workloads. …
Moving data is the biggest problem in computing, and probably has been since there was data processing if we really want to be honest about it. …
The last two years have delivered a new wave of deep learning architectures designed specifically for tackling both training and inference sides of neural networks. …
While it is always best to have the right tool for the job, it is better still if a tool can be used by multiple jobs and therefore have its utilization be higher than it might otherwise be. …
Industrial companies have replaced people with machines, systems analysts with simulations, and now the simulations themselves could be outpaced by machine learning—albeit with a human in the loop, at the beginning at least. …
Over the last couple of decades, those looking for a cluster management platform faced no shortage of choices. …
The frameworks are in place, the hardware infrastructure is robust, but what has been keeping machine learning performance at bay has far less to do with the system-level capabilities and more to do with intense model optimization. …
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