{"action":"closed","issue":{"url":"https://api.github.com/repos/clMathLibraries/clSPARSE/issues/134","labels_url":"https://api.github.com/repos/clMathLibraries/clSPARSE/issues/134/labels{/name}","comments_url":"https://api.github.com/repos/clMathLibraries/clSPARSE/issues/134/comments","events_url":"https://api.github.com/repos/clMathLibraries/clSPARSE/issues/134/events","html_url":"https://github.com/clMathLibraries/clSPARSE/issues/134","id":103666385,"number":134,"title":"Csr 2 Dense performance results","user":{"login":"jpola","id":1247671,"avatar_url":"https://avatars.githubusercontent.com/u/1247671?v=3","gravatar_id":"","url":"https://api.github.com/users/jpola","html_url":"https://github.com/jpola","followers_url":"https://api.github.com/users/jpola/followers","following_url":"https://api.github.com/users/jpola/following{/other_user}","gists_url":"https://api.github.com/users/jpola/gists{/gist_id}","starred_url":"https://api.github.com/users/jpola/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jpola/subscriptions","organizations_url":"https://api.github.com/users/jpola/orgs","repos_url":"https://api.github.com/users/jpola/repos","events_url":"https://api.github.com/users/jpola/events{/privacy}","received_events_url":"https://api.github.com/users/jpola/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"milestone":null,"comments":6,"created_at":"2015-08-28T08:01:29Z","updated_at":"2015-09-01T21:58:20Z","closed_at":"2015-09-01T21:58:20Z","body":"I suspect that Csr 2 dense performance results are wrong, \r\n\r\nExample: tomography.mtx. \r\n\r\n```\r\nclSPARSE matrix: /home/jpola/Projects/ClMath_ClSparse/clSPARSE-build/Externals/MTX/Small/tomography/tomography.mtx\r\n\r\n========================StdDev ( 3 )========================\r\nCPU xCsr2Dense[ 0 ]: Pruning 1 samples out of 50\r\n\r\n=======================CPU xCsr2Dense=======================\r\n   GiElements/s:                      0.176366\r\n     Time (ns):                                      162,877\r\n\r\n\r\n========================StdDev ( 3 )========================\r\nGPU xCsr2Dense[ 0 ]: Pruning 1 samples out of 50\r\n\r\n=======================GPU xCsr2Dense=======================\r\n     OutEvents:            0xe580f0\r\n   GiElements/s:                       2.64508\r\n     Time (ns):                                       10,860\r\n```\r\nFrom the graph the GiElements/s for tomography is 0.179\r\nSomebody I think, might took CPU results instead of GPU.\r\n\r\nSimilar result for Margal_6.mtx:\r\nCPU: 0.0226612, GPU: 1.60151, GRAPH: 0.059.\r\n\r\nThe results I obtained are generated by R270 I would be supprised if the difference between Hawaii will be so big.\r\n"}}