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https://issues.apache.org/jira/browse/HAMA-13?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15249551#comment-15249551
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ASF GitHub Bot commented on HAMA-13:
------------------------------------

GitHub user edwardyoon opened a pull request:

    https://github.com/apache/incubator-horn/pull/15

    HAMA-13: Convert MNIST dataset into a sequence file

    This converts MNIST dataset into a sequence file for our framework. 

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/edwardyoon/incubator-horn master

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/incubator-horn/pull/15.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #15
    
----
commit 156968df33c5bcb1e8d76e78353674c8e4c78987
Author: Edward J. Yoon <[email protected]>
Date:   2016-04-20T06:45:57Z

    HAMA-13: Convert MNIST dataset into a sequence file

----


> Scalar and Matrix Multiplication 
> ---------------------------------
>
>                 Key: HAMA-13
>                 URL: https://issues.apache.org/jira/browse/HAMA-13
>             Project: Hama
>          Issue Type: Improvement
>          Components: math
>            Reporter: Edward J. Yoon
>            Assignee: Edward J. Yoon
>         Attachments: HAMA-13.patch
>
>
> There are two types of multiplication for matrices: scalar multiplication and 
> matrix multiplication. Scalar multiplication is easy. You just take a number 
> (called a "scalar") and multiply it on every entry in the matrix. For example,
> For the following matrix A, find 2A :
> 2A = 2- {[a, b], [c, d]} = {[2- a, 2- b], [2- c, - d]}
> however, matrix multiplication is quite another story. We need to multiply 
> the ROWS of A by the COLUMNS of B. By this I mean that I first take the first 
> row of A and the first column of B, and we multiply the first entries, then 
> the second entries, and then the third entries, and then we add the three 
> products. The sum is one entry in the product matrix AB.
> reference : http://carbon.cudenver.edu/csprojects/CSC5809S01/Simd/parmult.html



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