[mvapich-discuss] Announcing the release of MVAPICH2-GDR 2.2 GA

[Panda, Dhabaleswar]

The MVAPICH team is pleased to announce the release of MVAPICH2-GDR
2.2.

MVAPICH2-GDR 2.2 is based on the standard MVAPICH2 2.2 release and
incorporates designs that take advantage of the GPUDirect RDMA (GDR)
technology for inter-node data movement on NVIDIA GPUs clusters with
Mellanox InfiniBand interconnect. It also provides efficient
intra-node CUDA-Aware unified memory communication and support for
RDMA_CM, RoCE-V1, and RoCE-V2. Further, MVAPICH2-GDR 2.2 provides
optimized large message collectives (broadcast, reduce and allreduce)
for emerging Deep Learning frameworks.

Features, Enhancements, and Bug Fixes for MVAPICH2-GDR 2.2 are listed
here.

* Features and Enhancements (since MVAPICH2-GDR 2.2rc1)

    - Based on MVAPICH2 2.2
    - Add support for CUDA 8.0
    - Add support for Pascal (P100) GPU
    - Efficient support for CUDA-aware large message collectives
      targeting Deep Learning frameworks
        - Efficient support for Bcast
        - Efficient support for Reduce
        - Efficient support for Allreduce
    - Introducing GPU-based tuning framework for Reduce collective on
      Broadwell+EDR+K80 based systems

* Bug Fixes (since MVAPICH2-GDR 2.2rc1):

    - Correctly guard core-direct support for GPU-based non-blocking
      collectives
    - Minor fixes to GPU-based tuning framework for Wilkes and CSCS
    - Fix compilation warnings

MVAPICH2-GDR 2.2 release requires the following software to be
installed on your system:

  - Mellanox OFED 2.1 or later
  - NVIDIA Driver 331.20 or later
  - NVIDIA CUDA Toolkit 6.0 or later
  - Plugin module to enable GPUDirect RDMA
  - (Strongly recommended) NVIDIA GDRCOPY module

Further, MVAPICH2-GDR 2.2 provides support on GPU-Cluster using
regular OFED (without GPUDirect RDMA).

For downloading MVAPICH2-GDR 2.2, associated user guide, and sample
performance numbers please visit the following URL:

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

All questions, feedback, bug reports, hints for performance tuning,
and enhancements are welcome. Please post it to the mvapich-discuss
mailing list (mvapich-discuss at cse.ohio-state.edu).

Thanks,

The MVAPICH Team