[Hidl-announce] Announcing the release of RDMA-TensorFlow 0.9.1

[Xiaoyi Lu]

The High-Performance Deep Learning (HiDL) team is pleased to announce the
release of RDMA-TensorFlow 0.9.1 package with the following features.

- Based on Google TensorFlow 1.3.0
 
- Build with Python 2.7, Cuda 8.0, CUDNN 5.0, gcc 4.8.5, and glibc 2.17

- Compliant with TensorFlow 1.3.0 APIs and applications
 
- High-performance design with native InfiniBand support at the verbs level for 
  gRPC Runtime (AR-gRPC) and TensorFlow
   - RDMA-based data communication
   - Adaptive communication protocols
   - Dynamic message chunking and accumulation
   - Support for RDMA device selection

 - Easily configurable for native InfiniBand and the traditional sockets based 
   support (Ethernet and InfiniBand with IPoIB)

 - Tested with
    - Mellanox InfiniBand adapters (e.g., EDR)
    - NVIDIA GPGPU K80
    - Tested with CUDA 8.0 and CUDNN 5.0

For downloading RDMA-TensorFlow 0.9.1 package and the
associated user guide, please visit the following URL:

http://hidl.cse.ohio-state.edu

Sample performance numbers for benchmarks using RDMA-TensorFlow 0.9.1 
version can be viewed by visiting the `Performance' tab of the above website.

All questions, feedback and bug reports are welcome. Please post it to
the hidl mailing list (hidl-discuss at lists.osu.edu).

Thanks,

The High-Performance Deep Learning (HiDL) Team