{"action":"opened","issue":{"url":"https://api.github.com/repos/tensorflow/tensorflow/issues/4337","repository_url":"https://api.github.com/repos/tensorflow/tensorflow","labels_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/4337/labels{/name}","comments_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/4337/comments","events_url":"https://api.github.com/repos/tensorflow/tensorflow/issues/4337/events","html_url":"https://github.com/tensorflow/tensorflow/issues/4337","id":176446409,"number":4337,"title":"Multi-CPU kernel for sparse_tensor_dense_matmul","user":{"login":"rueberger","id":8816362,"avatar_url":"https://avatars.githubusercontent.com/u/8816362?v=3","gravatar_id":"","url":"https://api.github.com/users/rueberger","html_url":"https://github.com/rueberger","followers_url":"https://api.github.com/users/rueberger/followers","following_url":"https://api.github.com/users/rueberger/following{/other_user}","gists_url":"https://api.github.com/users/rueberger/gists{/gist_id}","starred_url":"https://api.github.com/users/rueberger/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/rueberger/subscriptions","organizations_url":"https://api.github.com/users/rueberger/orgs","repos_url":"https://api.github.com/users/rueberger/repos","events_url":"https://api.github.com/users/rueberger/events{/privacy}","received_events_url":"https://api.github.com/users/rueberger/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-09-12T18:19:24Z","updated_at":"2016-09-12T18:19:24Z","closed_at":null,"body":"Are there plans to implement a multi-cpu kernel for tf.sparse_tensor_dense_matmul? The current version seems to be single core only and is not performing well. \r\n\r\nI am working with a very large sparse tensor - about 8GB sparse and 200GB dense that I cannot work with as a dense tensor for memory reasons. Any suggestions for achieving fast matrix multiplication? "}}
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