{"push_id":1051608541,"size":1,"distinct_size":1,"ref":"refs/heads/gpu-cluster","head":"a3c82ca913859d690f7bbf7b4706686de0b4d2a8","before":"5521226b7a09fd13e22596852909711db8346f6d","commits":[{"sha":"a3c82ca913859d690f7bbf7b4706686de0b4d2a8","author":{"email":"ff0112eee266f577d811344bc77668fd63060693@comp.nus.edu.sg","name":"Wei Wang"},"message":"SINGA-134 Extend SINGA to run over a GPU cluster\n\nMinor changes to extend the single node Multi-GPU training to the GPU\ncluster scenario.\n1. remove gethostip which is not stable (only work for some OS). Now users have to config the hostfile with each line specifying the IP (must be IP) of one node.\n2. register process id no matter the running environment.\n3. the singa-run.sh has to `source` the '.profile' ('.bashrc' does not wrok) file right before\nexecuting singa, which exports the LD_LIBRARY_PATH for the cudnn and cuda library. There is no problem if singa is compiled without cuda.\n\nChecked with cpplint.","distinct":true,"url":"https://api.github.com/repos/nudles/incubator-singa/commits/a3c82ca913859d690f7bbf7b4706686de0b4d2a8"}]}