{"action":"created","issue":{"url":"https://api.github.com/repos/dask/dask/issues/1052","repository_url":"https://api.github.com/repos/dask/dask","labels_url":"https://api.github.com/repos/dask/dask/issues/1052/labels{/name}","comments_url":"https://api.github.com/repos/dask/dask/issues/1052/comments","events_url":"https://api.github.com/repos/dask/dask/issues/1052/events","html_url":"https://github.com/dask/dask/issues/1052","id":141035187,"number":1052,"title":"Performance on laptop vs. virtual machine","user":{"login":"thequackdaddy","id":8186432,"avatar_url":"https://avatars.githubusercontent.com/u/8186432?v=3","gravatar_id":"","url":"https://api.github.com/users/thequackdaddy","html_url":"https://github.com/thequackdaddy","followers_url":"https://api.github.com/users/thequackdaddy/followers","following_url":"https://api.github.com/users/thequackdaddy/following{/other_user}","gists_url":"https://api.github.com/users/thequackdaddy/gists{/gist_id}","starred_url":"https://api.github.com/users/thequackdaddy/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/thequackdaddy/subscriptions","organizations_url":"https://api.github.com/users/thequackdaddy/orgs","repos_url":"https://api.github.com/users/thequackdaddy/repos","events_url":"https://api.github.com/users/thequackdaddy/events{/privacy}","received_events_url":"https://api.github.com/users/thequackdaddy/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":3,"created_at":"2016-03-15T16:54:07Z","updated_at":"2016-03-15T17:14:35Z","closed_at":null,"body":"So I'm working with a dask dataframe. I have 2 computers at work... A laptop and virtual machine. \r\n\r\nLaptop specs: \r\nWindows 7 Professional\r\n8 core i7 4710MQ @ 2.5 GHz\r\n16 GB of RAM\r\n500 GB HDD. \r\n\r\nVirtual Machine Specs \r\nWindows Server 2012R2\r\n8 core Xeon E5-2609 v3 @1.9 GHz\r\n32 GB of RAM\r\n500 GB SSD\r\n\r\nI'm noticing that the speeds of working with dask dataframe are much, much better on the i7 laptop than on the virtual machine. I have some code that runs in about 40 seconds on the laptop at 115 seconds on the virtual machine. \r\n\r\nI talked to my IT department and they offered to add more cores. (Who am I to say no?) But I'm wondering if there is something about the i7 processor vs. Xeon that would make it nearly 3 times faster? \r\n\r\nThe operations I'm doing in dask are very math-heavy. Lots of `groupby().sum()` and elementwise stuff. \r\n\r\nThoughts on this? "},"comment":{"url":"https://api.github.com/repos/dask/dask/issues/comments/196930494","html_url":"https://github.com/dask/dask/issues/1052#issuecomment-196930494","issue_url":"https://api.github.com/repos/dask/dask/issues/1052","id":196930494,"user":{"login":"jcrist","id":2783717,"avatar_url":"https://avatars.githubusercontent.com/u/2783717?v=3","gravatar_id":"","url":"https://api.github.com/users/jcrist","html_url":"https://github.com/jcrist","followers_url":"https://api.github.com/users/jcrist/followers","following_url":"https://api.github.com/users/jcrist/following{/other_user}","gists_url":"https://api.github.com/users/jcrist/gists{/gist_id}","starred_url":"https://api.github.com/users/jcrist/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jcrist/subscriptions","organizations_url":"https://api.github.com/users/jcrist/orgs","repos_url":"https://api.github.com/users/jcrist/repos","events_url":"https://api.github.com/users/jcrist/events{/privacy}","received_events_url":"https://api.github.com/users/jcrist/received_events","type":"User","site_admin":false},"created_at":"2016-03-15T17:14:35Z","updated_at":"2016-03-15T17:14:35Z","body":"Oop, looks like I misread the stats you posted. Indeed, they're both the same number of cores. 3x hit for a vm is a bit much, but could be due to that. I'd also check that you're running the same numpy and pandas versions on both boxes."}}