Caffe-MPI.github.io | caffe-mpi is developed by ai amp ; hpc application r

 by   Caffe-MPI C++ Version: Current License: Non-SPDX

kandi X-RAY | Caffe-MPI.github.io Summary

kandi X-RAY | Caffe-MPI.github.io Summary

Caffe-MPI.github.io is a C++ library. Caffe-MPI.github.io has no bugs, it has no vulnerabilities and it has low support. However Caffe-MPI.github.io has a Non-SPDX License. You can download it from GitHub.

caffe-mpi is developed by ai & hpc application r&d team of inspur. it is a parallel version for multi-node gpu cluster, which is designed based on the nvidia/caffe forked from the bvlc/caffe ( more details please visit the caffe-mpi is designed for high density gpu clusters; the new version supports infiniband (ib) high speed network connection and shared storage system that can be equipped by distributed file system, like nfs and glusterfs. the training dataset is read in parallel for each mpi process. the hierarchical communication mechanisms were developed to minimize the bandwidth requirements between computing nodes. both inter and intra node gpu communication are managed by nccl with gpu direct rdma. the alexnet, googlenet and resnet model have been tested with caffe-mpi 2.0 on
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              Caffe-MPI.github.io has a low active ecosystem.
              It has 126 star(s) with 54 fork(s). There are 31 watchers for this library.
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              It had no major release in the last 6 months.
              There are 9 open issues and 2 have been closed. On average issues are closed in 13 days. There are 1 open pull requests and 0 closed requests.
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              Caffe-MPI.github.io has a Non-SPDX License.
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