CODEWITHSUNDEEP
javamatlabdouble
Dani
Dani

Reputation: 4447

Passing a million numbers from java to matlab?

I have a bit of code which runs in 10.919 s. Profiling it shows that 10.182 s are wasted in 

opaque.double

Which is called when I use

jClass.GetArrays(jArray1,jArray2);

struct.prop1 = double(jArray1);
struct.prop2 = double(jArray1);

What can be done? I have to use Java to interact with external API.


EDIT: I used the following hack:

struct.prop1 = cell2mat( cell( jArray1) );


And got down to 1.5s / 2.2s

EDIT:

Making the java return long comma delimited string representation of the arrays and then using

data = strread(char(jString),'%f','delimiter',',' );

Produced almost bearable performance

Upvotes: 3

Views: 660

Answers (2)

Dani
Dani

Reputation: 4447

The problem lays in the usage of boxed Java primitives - java.lang.Double in this case.

Simply changing the signature of the Java from Double to double cause Matlab to seamlessly work with the array without the casting overhead.

Upvotes: 3

Adam Davis
Adam Davis

Reputation: 93565

You might consider saving it to a file, then reading it in on the other end. It might also be similarly slow (especially if a network is involved), but it's worth a shot.

You might also consider converting it to a blob of binary data, then passing it, and converting it back.

I have a sneaking suspicion that with that bad performance it's passing each element of the array in its own transaction rather than all at once.

-Adam

Upvotes: 1

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