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Basic redistribution support\r\n* Interop with PyTrilinos via the protocol\r\n* Latency hiding and lazy evaluation","creator":{"login":"kwmsmith","id":288771,"avatar_url":"https://avatars.githubusercontent.com/u/288771?v=3","gravatar_id":"","url":"https://api.github.com/users/kwmsmith","html_url":"https://github.com/kwmsmith","followers_url":"https://api.github.com/users/kwmsmith/followers","following_url":"https://api.github.com/users/kwmsmith/following{/other_user}","gists_url":"https://api.github.com/users/kwmsmith/gists{/gist_id}","starred_url":"https://api.github.com/users/kwmsmith/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/kwmsmith/subscriptions","organizations_url":"https://api.github.com/users/kwmsmith/orgs","repos_url":"https://api.github.com/users/kwmsmith/repos","events_url":"https://api.github.com/users/kwmsmith/events{/privacy}","received_events_url":"https://api.github.com/users/kwmsmith/received_events","type":"User","site_admin":false},"open_issues":43,"closed_issues":23,"state":"open","created_at":"2014-07-01T14:32:33Z","updated_at":"2015-08-20T21:31:06Z","due_on":"2014-08-29T07:00:00Z","closed_at":null},"comments":9,"created_at":"2015-08-18T21:03:36Z","updated_at":"2015-08-21T16:36:41Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/enthought/distarray/pulls/619","html_url":"https://github.com/enthought/distarray/pull/619","diff_url":"https://github.com/enthought/distarray/pull/619.diff","patch_url":"https://github.com/enthought/distarray/pull/619.patch"},"body":"LU-Decomposition performed using custom uFunc."},"comment":{"url":"https://api.github.com/repos/enthought/distarray/issues/comments/133485433","html_url":"https://github.com/enthought/distarray/pull/619#issuecomment-133485433","issue_url":"https://api.github.com/repos/enthought/distarray/issues/619","id":133485433,"user":{"login":"bgrant","id":624123,"avatar_url":"https://avatars.githubusercontent.com/u/624123?v=3","gravatar_id":"","url":"https://api.github.com/users/bgrant","html_url":"https://github.com/bgrant","followers_url":"https://api.github.com/users/bgrant/followers","following_url":"https://api.github.com/users/bgrant/following{/other_user}","gists_url":"https://api.github.com/users/bgrant/gists{/gist_id}","starred_url":"https://api.github.com/users/bgrant/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/bgrant/subscriptions","organizations_url":"https://api.github.com/users/bgrant/orgs","repos_url":"https://api.github.com/users/bgrant/repos","events_url":"https://api.github.com/users/bgrant/events{/privacy}","received_events_url":"https://api.github.com/users/bgrant/received_events","type":"User","site_admin":false},"created_at":"2015-08-21T16:36:41Z","updated_at":"2015-08-21T16:36:41Z","body":"Thanks for taking a look @markkness!  He's working on some of your\nsuggestions.\n\nOn Thu, Aug 20, 2015 at 5:12 PM, Mark Kness <notifications@github.com>\nwrote:\n\n> I do really like this example.\n> But I think that something may be missing: I expected that there would\n> either be\n> 1) Two matrices, L and U, lower and upper triangular, that factor the\n> original matrix, or\n> 2) The row calculations are also applied to the right-hand side, so that\n> the resulting upper triangular matrix can be used to solve the linear\n> system.\n> As-is, with this just generating one upper triangular matrix, it is not\n> clear to me how it would apply to a real problem, e.g. like Ax = b, with A\n> the n-by-n matrix, b the n-by-1 rhs, and x the n-by-1 unknowns.\n>\n> As a related issue, if you did have a right-hand side somewhere, you could\n> show that the original matrix times the calculated unknowns did in fact\n> equal the original right-hand-side, thus showing that you really did\n> calculate what you said you did.\n>\n> —\n> Reply to this email directly or view it on GitHub\n> <https://github.com/enthought/distarray/pull/619#issuecomment-133193974>.\n>\n"}}