{"action":"opened","issue":{"url":"https://api.github.com/repos/Theano/libgpuarray/issues/299","repository_url":"https://api.github.com/repos/Theano/libgpuarray","labels_url":"https://api.github.com/repos/Theano/libgpuarray/issues/299/labels{/name}","comments_url":"https://api.github.com/repos/Theano/libgpuarray/issues/299/comments","events_url":"https://api.github.com/repos/Theano/libgpuarray/issues/299/events","html_url":"https://github.com/Theano/libgpuarray/issues/299","id":192084874,"number":299,"title":"Speed up maxandargmax for all-reduction (or almost that).","user":{"login":"abergeron","id":1002504,"avatar_url":"https://avatars.githubusercontent.com/u/1002504?v=3","gravatar_id":"","url":"https://api.github.com/users/abergeron","html_url":"https://github.com/abergeron","followers_url":"https://api.github.com/users/abergeron/followers","following_url":"https://api.github.com/users/abergeron/following{/other_user}","gists_url":"https://api.github.com/users/abergeron/gists{/gist_id}","starred_url":"https://api.github.com/users/abergeron/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/abergeron/subscriptions","organizations_url":"https://api.github.com/users/abergeron/orgs","repos_url":"https://api.github.com/users/abergeron/repos","events_url":"https://api.github.com/users/abergeron/events{/privacy}","received_events_url":"https://api.github.com/users/abergeron/received_events","type":"User","site_admin":false},"labels":[{"id":490402417,"url":"https://api.github.com/repos/Theano/libgpuarray/labels/ccw","name":"ccw","color":"e99695","default":false}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-11-28T18:43:10Z","updated_at":"2016-11-28T18:43:10Z","closed_at":null,"body":"The current maxandargmax algorithm counts on the number of dimensions after reduction for parallelism, which \"fails\" when doing a full reduction which uses a single thread to do everything.\r\n\r\nWe should split off the work differently in that case to have more parallelism."}}
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