Amazon says its new deep learning library is 2x faster than Google’s

Though Amazon Inc. doesn’t make a habit of sharing its internally-produced software with the outside world, the large number of fellow web giants that had open-sourced their deep learning technology in recent months has apparently prompted a change of heart. And so the company quietly joined the fray yesterday with the release of a C++ library for developing neural networks that could make the task significantly faster than before for data scientists. Dubbed DSSTNE, the framework owes its speed in large part to the parallelization mechanism that Amazon included under the hood to handle distributed processing. Most alternatives execute deep learning models by running separate copies of the code on each GPU at their disposal and synchronizing the activity using some sort of orchestration mechanism. Others will assign each major…


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