[Hidl-announce] Announcing the release of RDMA-TensorFlow 0.9.1
Xiaoyi Lu
lu.932 at osu.edu
Mon Jul 23 23:25:49 EDT 2018
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
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