4 ms·
It is practically unusable to the point of being a joke on Raspberry pi. Mathematica still takes couple of seconds on my 8-core/64GB rig to compute a non-trivia
by srvmshr 5y ago
It is practically unusable to the point of being a joke on Raspberry pi. Mathematica still takes couple of seconds on my 8-core/64GB rig to compute a non-trivial expression, notwithstanding any manual simplification. There is a noticeable time to boot the program where you stare at the Wolfram Spikey. The benchmarks are brutal no matter which Raspberry pi you choose:
1. (Older artucle)
https://forums.raspberrypi.com/viewtopic.php?t=248423 https://forums.raspberrypi.com/viewtopic.php?t=248423
2. (Newer article in JP but web translation works decent):
https://decafish.blog.ss-blog.jp/2020-07-19 https://decafish.blog.ss-blog.jp/2020-07-19
- buescher 5y agoYes, with a rpi you are going back 15-20 years in performance. I don't know that I would call that unusable. People used Mathematica on the G5 PowerPC, which was in the same ballpark in the benchmarks you cite. So I guess... for hobbyists, it just depends on your hobby.
- srvmshr 5y agoI am okay with a G5-spec if everything else remained as they were 20 years ago. They haven't. Datasets have grown in size exponentially. You deal with images which are no longer few kilobytes. Window managers in the GUI have to paint over a much larger display area even if you consider whitespace. To do a hobby project like for e.g build a toy spam-filter or a toy classifier, the prompt to execution takes over 6 minutes on a really tiny model. I don't see why this hobby project angle seems viable either. Hence, why I said its unusable practically.
- kzrdude 5y agoI'd be curious what qemu could do for running the RPI Mathematica on a regular desktop computer
- buescher 5y agoIt's also very, very easy to run into compute limits on the free tiers of Wolfram Cloud and even Wolfram Alpha.