Raspberry Pi machines - naked circuit boards that run a version of Linux from an SD Card - are geared for the hardware hacker crowd that's bubbling up in high-tech circles. I changed each of the functions so that the operations could be completed in a reasonable (10 s) amount of time.Those grand aspirations, to be sure, but they're nothing compared to how Wolfram introduced the Wolfram Language last week: 'If we're forming a kind of global brain with all our interconnected computers and devices, then the Wolfram Language is the natural language for it.' I performed some benchmarking using a subset of the functions used in the BenchmarkReport in version 9. The memory split can be as little at 16 Mb to the GPU or up to 256, with the default being 64 Mb. The Model B RPi comes with 512 Mb of RAM which is shared with the GPU. The default is 700 MHz but the configuration software allows for 4 levels of overclocking: modest, medium, fast and turbo. The RPi has two easily accessible features that may influence the performance of M/RPi.

These results were obtained with a fresh install of the Raspbian image () on an 8 GB class 10 SD card with Medium overclocking running Mathematica from within the GUI (running instead using wolfram in the terminal shaves about 0.75 s off the results). Here, the results show that there was a significant performance boost in the way M/RPi handles linear systems: I presume there were some bug fixes and re-ran some of the benchmarks. There was an update to the wolfram engine on the Raspberry Pi in late January. There is clearly a benefit to considering Cloud-based evaluation when designing Wolfram/RPi projects, but one must cognizant of CloudCredit bookkeeping. Performing these tasks on the Cloud cost me 11 credits. (This does not include the one-time 1-2 minute interaction with a terribly sluggish interface that logs you in to your Cloud account.) The interesting data are those marked 'Absolute', which includes the network overhead and is a better comparison to running on the RPi than 'Cloud' is. I have a sudden urge to dust off my Algol and Cobol handbooks.

The Jversion of Mathematica brings to the RPi the ability to evaluate expressions on the cloud, in other words, to cheat at benchmarking!Īs an added bonus, we have a default retro color scheme for BarCharts that is sure to please fans of the 70s.

Mathematica for raspberry pi