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If so, I won't be buying one - have been watching for a long time and just came back to have a quick look.
Thanks,
Marshalleq
Statistics: Posted by marshalleq — Wed Jul 12, 2017 12:49 am
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The riecoin miner ported by Mike Bell worked and used the Epiphany but it used ypool which has since disappeared.
I had a look at porting the dnet client. Not a simple exercise to get that working on the epiphany. E.g. the OGR worker thread is written in assembler.
Statistics: Posted by nickoppen — Sat Dec 10, 2016 6:33 am
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A number of projects have apps that will run on the ARM processor without too much work. Projects that should work "out of the box" are Asteroids@home and Einstein@home. I've also been running a Seti@home app on both the Pi2 and Parallella's compiled by Claggy.
Statistics: Posted by MarkjBOINC — Sat Mar 21, 2015 10:29 pm
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Yeah as we discussed in other places, there is still a lot of work remaining to get this going and there might be some problems with the numerical accuracy of the Raspi GPU FFT lib.
Cheers
HB
Statistics: Posted by Bikeman — Wed Jan 07, 2015 4:09 pm
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Thanks for the invitation, but I couldn't make it (still jet-lagged by 6 hrs).
Runtime on the ARM alone seems to be in he same order of magnitude as for the PI. The Parallela's ARM supports NEON so it it faster even at the same clock rate.
>As a side note, now we are also finally starting work on a scalable FFT (I won't be doing this work myself..but I am excited about the approach.)
Intreresting indeed. FFT is just too important an algorithm to be ignored
. So I suggest to make the bet an open ended race. Whenever you have something ready, let me know, and we can compare that to the best I have ready for the PI at that time. I might be in the Boston area again in about two weeks.
Cheers
HB
Statistics: Posted by Bikeman — Sat Nov 08, 2014 1:34 pm
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Hey, you are basically 5 minutes away from my house. Catch me here or at @adapteva if you want to grab a beer later tonight!
Apologies for dropping the ball on this. For fun, I just ran FFTW on the parallella and got (7.7seconds) running ONLY on the ARM (N=12582912). Same program ram in 0.233sec on my i7. Clearly something is weird with the package or I screwed something up in my test code?). As a side note, now we are also finally starting work on a scalable FFT (I won't be doing this work myself..but I am excited about the approach.)
Andreas
Statistics: Posted by aolofsson — Fri Nov 07, 2014 10:11 pm
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sorry for beeing silent on the beer bet for so long!
I had seriously underestimated the effort needed to program the Pi's GPU, so I must accept defeat since I did not come up with a working PI implementation in time. OTOH I haven't seen a Parallella version for the bet's task either, so while I clearly owe Adapteva a create of beer, the question that the bet set out to answer is yet unsolved.
It's a shame, I'm actually quite close to Adapteva's HQ right now (@ Woburn, MA), and could almost deliver the beer in person, but I'm here on a conference and not (entirely) for fun and I don't think I can make it to Lexington while I'm here. But be assured you'll get that beer
Cheers
HB
Statistics: Posted by Bikeman — Fri Nov 07, 2014 6:23 pm
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