or local sparse-sparse matrix multiplic]Xiangrui
>>> Meng ---11/05/2014 01:13:40 PM---You can use breeze for local sparse-sparse
>>> matrix multiplication and then define an RDD of sub-matri
>>>
>>> From: Xiangrui Meng
>>> To: Duy Huynh
>>>
Watson Research Center
>>
>>
>> [image: Inactive hide details for Xiangrui Meng ---11/05/2014 01:13:40
>> PM---You can use breeze for local sparse-sparse matrix multiplic]Xiangrui
>> Meng ---11/05/2014 01:13:40 PM---You can use breeze for local sparse-sparse
>> matrix
ngrui
> Meng ---11/05/2014 01:13:40 PM---You can use breeze for local sparse-sparse
> matrix multiplication and then define an RDD of sub-matri
>
> From: Xiangrui Meng
> To: Duy Huynh
> Cc: user
> Date: 11/05/2014 01:13 PM
> Subject: Re: sparse x sparse matrix multiplica
01:13 PM
Subject: Re: sparse x sparse matrix multiplication
You can use breeze for local sparse-sparse matrix multiplication and
then define an RDD of sub-matrices
RDD[(Int, Int, CSCMatrix[Double])] (blockRowId, blockColId, sub-matrix)
and then use join and aggregateByKey to implement
You can use breeze for local sparse-sparse matrix multiplication and
then define an RDD of sub-matrices
RDD[(Int, Int, CSCMatrix[Double])] (blockRowId, blockColId, sub-matrix)
and then use join and aggregateByKey to implement this feature, which
is the same as in MapReduce.
-Xiangrui
--
in case, this won't be available anytime soon with spark. what would be a
good way to implement this multiplication feature in spark?
On Wed, Nov 5, 2014 at 4:59 AM, Duy Huynh wrote:
> distributed. something like CordinatedMatrix.multiply(CoordinatedMatrix).
>
>
> thanks xiangrui!
>
> On Wed,
distributed. something like CordinatedMatrix.multiply(CoordinatedMatrix).
thanks xiangrui!
On Wed, Nov 5, 2014 at 4:24 AM, Xiangrui Meng wrote:
> local matrix-matrix multiplication or distributed?
>
> On Tue, Nov 4, 2014 at 11:58 PM, ll wrote:
> > what is the best way to implement a sparse x
local matrix-matrix multiplication or distributed?
On Tue, Nov 4, 2014 at 11:58 PM, ll wrote:
> what is the best way to implement a sparse x sparse matrix multiplication
> with spark?
>
>
>
> --
> View this message in context:
> http://apache-spark-user-list.1001560.n3.nabble.com/sparse-x-sparse
