wolfram raspi-pi 2 - a deal!

[dliloch]

With the new raspi pi 2 I wonder what the impact on Woflram will be? I would think it would now make it really useable and perhaps for $35 you now get this powerful and usable software package which normally cost hundreds! Did anyone do benchmarks on this yet?

found this link for benchmark on the wolfram education section .. I will try that once I get my pi2 ...

http://adereth.github.io/blog/2014/01/0 ... pberry-pi/

[jamesh]

If Wolfram can be build to use Cortex-a7/neon, and can use the multi cores, then it should be substantially faster.

[DougieLawson]

If Wolfram can be build to use Cortex-a7/neon, and can use the multi cores, then it should be substantially faster.

There was a new build of Wolfram that came down the wire a couple of days ago. I've not looked at what changed or whether it was just bug fixes.

[gregeric]

"The performance on the new Raspberry Pi 2 is great, due to the increased number of cores and higher clock speed"

http://community.wolfram.com/groups/-/m ... h=Bvmq51cS

[mlepage]

I am a new Mathematica user learner. So far I haven't been as impressed with the performance as I was expecting. I will have to verify that I have the fixes which let me use multiple kernels, I hope the performance I'm seeing now on RPi 2 can be improved.

[mlepage]

I notice two things.

First, a bug. In about, it says the version is 10.0.0.0. But in system information, it says 10.0.2.0 (the recent Feb 3, 2015 one), which is also what the variables say. Presumably the about box should say 10.0.2.0 as well. At any rate, I appear to have the fixed version.

Second, I figured out from system information how to run the benchmark thing. It runs a sequence of 15 tests. I notice while most of the tests use only 25% CPU (i.e. 1 core), some use 50% (i.e. 2 cores, and some use 100% (i.e. all 4 cores). This leads me to believe that some operations are more suited to multicore computation than others.

How can I find out which operations run on multiple cores? Is there any way to influence this? Image processing should be well amenable to multicore computation, yet that uses only 25% for me, which is disappointing.