{"action":"created","issue":{"url":"https://api.github.com/repos/JuliaComputing/ArrayFire.jl/issues/19","repository_url":"https://api.github.com/repos/JuliaComputing/ArrayFire.jl","labels_url":"https://api.github.com/repos/JuliaComputing/ArrayFire.jl/issues/19/labels{/name}","comments_url":"https://api.github.com/repos/JuliaComputing/ArrayFire.jl/issues/19/comments","events_url":"https://api.github.com/repos/JuliaComputing/ArrayFire.jl/issues/19/events","html_url":"https://github.com/JuliaComputing/ArrayFire.jl/issues/19","id":153742739,"number":19,"title":"Compatibility with other JuliaGPU packages","user":{"login":"ranjanan","id":9101377,"avatar_url":"https://avatars.githubusercontent.com/u/9101377?v=3","gravatar_id":"","url":"https://api.github.com/users/ranjanan","html_url":"https://github.com/ranjanan","followers_url":"https://api.github.com/users/ranjanan/followers","following_url":"https://api.github.com/users/ranjanan/following{/other_user}","gists_url":"https://api.github.com/users/ranjanan/gists{/gist_id}","starred_url":"https://api.github.com/users/ranjanan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ranjanan/subscriptions","organizations_url":"https://api.github.com/users/ranjanan/orgs","repos_url":"https://api.github.com/users/ranjanan/repos","events_url":"https://api.github.com/users/ranjanan/events{/privacy}","received_events_url":"https://api.github.com/users/ranjanan/received_events","type":"User","site_admin":false},"labels":[{"id":217564663,"url":"https://api.github.com/repos/JuliaComputing/ArrayFire.jl/labels/enhancement","name":"enhancement","color":"84b6eb","default":true}],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":5,"created_at":"2016-05-09T10:03:59Z","updated_at":"2016-11-02T09:20:54Z","closed_at":null,"body":"It would be nice if ArrayFire could easily interface with other JuliaGPU packages such as CUBLAS etc. for the in-place BLAS and finer lower-level control. \n"},"comment":{"url":"https://api.github.com/repos/JuliaComputing/ArrayFire.jl/issues/comments/257811915","html_url":"https://github.com/JuliaComputing/ArrayFire.jl/issues/19#issuecomment-257811915","issue_url":"https://api.github.com/repos/JuliaComputing/ArrayFire.jl/issues/19","id":257811915,"user":{"login":"dlfivefifty","id":1229737,"avatar_url":"https://avatars.githubusercontent.com/u/1229737?v=3","gravatar_id":"","url":"https://api.github.com/users/dlfivefifty","html_url":"https://github.com/dlfivefifty","followers_url":"https://api.github.com/users/dlfivefifty/followers","following_url":"https://api.github.com/users/dlfivefifty/following{/other_user}","gists_url":"https://api.github.com/users/dlfivefifty/gists{/gist_id}","starred_url":"https://api.github.com/users/dlfivefifty/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/dlfivefifty/subscriptions","organizations_url":"https://api.github.com/users/dlfivefifty/orgs","repos_url":"https://api.github.com/users/dlfivefifty/repos","events_url":"https://api.github.com/users/dlfivefifty/events{/privacy}","received_events_url":"https://api.github.com/users/dlfivefifty/received_events","type":"User","site_admin":false},"created_at":"2016-11-02T09:20:54Z","updated_at":"2016-11-02T09:20:54Z","body":"I think it'd probably be better to start out with an interface for `AbstractGPUDenseMatrix` because it seems like it would be hard to treat sparse matrices and dense matrices together.\r\n\r\nI think `GPUBandedMatrix <: AbstractGPUMatrix` would be too ambitious and would run into multiple inheritance issues since there'd also be `GPUBandedMatrix <: AbstractBandedMatrix`.  I was planning to change `BandedMatrix{T}` to the type\r\n\r\n```julia\r\nimmutable BandedMatrix{T,MT<:AbstractMatrix} <: AbstractBandedMatrix{T}\r\n    data::MT   #u+l+1 x num columns matrix\r\n    l::Int\r\n    u::Int\r\n    m::Int # number of rows\r\nend\r\n```\r\n\r\nSo that MT could then be any `AbstractGPUMatrix`, or `Matrix`, or whatever.    Since BandedMatrices.jl uses BLAS calls underneath, hopefully overriding the calls with CUBLAS will just work....\r\n\r\n\r\n\r\n\r\n\r\n"}}
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