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.
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