[mvapich-discuss] Announcing the release of OSU-Caffe 0.9 for Deep Learning

[Panda, Dhabaleswar]

This announcement is being sent `only once' to this list for information
about this new software library.

Interested and prospective users of OSU-Caffe library should subscribe
to the hidl-announce mailing list to receive future release announcements.
More details are available from: http://hidl.cse.ohio-state.edu

Thanks,

The MVAPICH Team

===================================================
The High-Performance Deep Learning (HiDL) team is pleased to announce
the release of OSU-Caffe 0.9 with the following features.

* OSU-Caffe 0.9 Features

    - Based on Nvidia's Caffe fork (caffe-0.14)
    - MPI-based distributed training support
    - Efficient scale-out support for multi-GPU nodes systems
    - New workflow to overlap the compute layers and the communication
    - Efficient parallel file readers to optimize I/O and data movement
        - Takes advantage of Lustre Parallel File System
    - Exploits efficient large message collectives in MVAPICH2-GDR 2.2
    - Tested with
        - Various CUDA-aware MPI libraries
        - CUDA 7.5
        - Various HPC Clusters with K80 GPUs, varying number of GPUs/node,
          and InfiniBand (FDR and EDR) adapters

For downloading OSU-Caffe 0.9 library and the associated user guides,
please visit the following URL:

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

Sample performance numbers for OSU-Caffe using various benchmarks can
be viewed by visiting the `Performance' tab of the above website.

For receiving future announcements related to the HiDL releases,
please subscribe to the hidl-announce mailing list (hidl-announce at
lists.osu.edu).

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

Thanks,

The High-Performance Deep Learning (HiDL) Team
http://hidl.cse.ohio-state.edu