Intel Opens Up nGraph Source Code For DNN Model Compiler
Written by Michael Larabel in Intel on 19 April 2018 at 12:07 AM EDT. 6 Comments
INTEL --
Intel tonight announced they are open-sourcing their nGraph compiler code, which serves as a framework-neutral deep neural network model compiler.

Intel claims with nGraph and Xeon Scalable hardware that researchers can obtain up to 10x performance improvements over previous TensorFlow integrations, as one example. Besides TensorFlow, nGraph also supports PyTorch, MXNet, Neon, Caffe2, and CNTK while also planning to support other frameworks moving forward.

The nGraph code claims to allow intelligent training across CPU, NNP, and GPU hardware without requiring the creation of new libraries.

I don't have any experience with nGraph up until now but will check it out to see if it can be spun for any interesting benchmark test cases. Those wanting to learn more about the now open-source nGraph can visit ai.intel.com. This deep learning code is available under the Apache 2.0 license.
About The Author
Author picture

Michael Larabel is the principal author of Phoronix.com and founded the site in 2004 with a focus on enriching the Linux hardware experience. Michael has written more than 10,000 articles covering the state of Linux hardware support, Linux performance, graphics drivers, and other topics. Michael is also the lead developer of the Phoronix Test Suite, Phoromatic, and OpenBenchmarking.org automated benchmarking software. He can be followed via Twitter or contacted via MichaelLarabel.com.

Related Intel News
Popular News This Week