1. D4M for Julia
Alex Chen

2. Dynamic Distributed Dimensional Data Model (D4M)
A tool for big data analysis designed by Dr Jeremy Kepner
(Enabling Composable Analytic Computation on Triple Store data)
Computation
ex.
Logical * ./ +
D4M A
Associative Array DB
table
What and Why D4M on Julia?

3. What is Implemented? ⬤ Assoc() ⬤ CSV Loading/Writing
⬤ Condense ⬤ GetIndex
⬤ Matrix goodies: find, value =, ./ , *, +, sum, transpose …
⬤ Regex Indexing ⬤ Union Assoc
⬤ A few examples from D4M Matlab
Implementations
What has been done

4. What is learned? Sorted Algorithms are useful (Case: Matrix Multiply)
Identifying and reasoning performance on a developing language is hard. (Case: Addition)
Making Module in Julia is easy.
Lesson Learned
What has been learned

5. Matrix Multiply
sorted_intersect()
Implemented

6. Addition
Fix

7. Difference between sad and fixed?
Sad Version …
ABA = spzeros(n,n)
ABA[Arow,Acol] = At.A
ABA[Brow,Bcol] += Bt.A
...
Fixed Version …
ABA = spzeros(n,n)
ABA[Arow,Acol] += At.A
ABA[Brow,Bcol] += Bt.A
...