Radeon ROCm 2.2 Released With Vega 20 Optimization, Caffe2 Multi-GPU Training
Written by Michael Larabel in Radeon on 13 March 2019 at 08:00 AM EDT. 24 Comments
RADEON --
One month since the release of ROCm 2.1, the Radeon Open Compute stack has now been succeeded by ROCm 2.2.

The ROCm 2.2 release shipping today comes as a bit of a surprise. It's not the most feature-packed update but does have some nice additions while building on the already exciting ROCm 2.0 that shipped at the end of 2018.

ROCm 2.2 brings rocSPARSE optimizations for Vega 20 with cache usage improvements, improved DGEMM performance for reduced matrix sizes, and with Caffe2 there is now support for multi-GPU training.

This ROCm 2.2 release builds upon ROCm 2.1 from last month that had the RocTracer 1.0 preview release and ROCM-SMI tool enhancements while ROCm 2.0 was the big release with Vega 20 / Vega 7nm support, MIVisionX as their computer vision libraries, PyTorch and Tensorflow improvements, and full OpenCL 2.0 support.

Download links and more details on ROCm 2.2 are available from the RadeonOpenCompute GitHub.
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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.

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