Parallella reached $750k funding goal
kickstarter.com
kickstarter.com
To show that I have sufficiently eaten crow, I felt I should make this post and pledge $99 + $20 (for a case) to them. And so I have.
EDIT: Clever use of the ?foolhn tag. I was going to post the Kickstarter link to HN as penance for my doubting Thomas ways but I've never submitted anything, and when I tried, I got a dupe check, so I didn't bother.
I'd love to hear more about your plans to build a community around the boards now. I'm working on building a community around a yet unreleased but announced open source project myself (http://famo.us/) and I'm in the early stages of planning everything.
Check out The Art of Community by Jono Bacon, the guy who was responsible for the Ubuntu community. That book has a lot of good stuff.
Dear Founders, please please set up a Q&A site. They are much more effective than forums.
Less bad than other parts of the Internet, but still not what I'd use as an example of good practice.
[1] Sprawling support, often including support from people who know very little about Linux or Ubuntu; gently toxic development lists.
Also, are there any good self-hosted versions of StackOverflow? Is there a way to use SO on your company site in a way that works as a portal to SO, but with all the Q&A visibility limited to tags/queries relevant to your product?
http://41j.com/blog/2012/10/my-take-on-the-adapteva-parallel...
Update: The links below reveal services for tracking campaign so I will investigate: http://www.kicktraq.com/ and http://canhekick.it/project/5064d31d8f647c24e5ad60d0
Update2: So they raised $192k yesterday, October 26 with 903 backers which averages to $212 per pledge. So it is all looks fine, perhaps that's how campaigns generally behave.
http://www.kicktraq.com/projects/adapteva/parallella-a-super... http://canhekick.it/project/5064d31d8f647c24e5ad60d0
EDIT: It answers one of {how, what} but not the other. Anyone got any more?
To make high computing power portable, as could be needed for machine perception applications in robotics, high power efficiency is needed. This is something the Parallella is aiming for.
Machine perception algorithms using "brain-like" computation structures are not only highly parallel by nature but also need fast access to memory. Instead of having a thin pipe to a central memory, it needs to be distributed, build close to/in to the computation cores.
The long-term vision of Parallella’s Epiphany multi-core processors indicate a 1000 cores per processor, with 128KB memory per core by 2014 a possibility(!) This is exactly the order of parallelism and distributed memory Machine perception applications need.
They understand that the key is getting developers writing software in a new way, and the trick there is ubiquitous hardware. They also understand that it has to start as a co-processor, too, so they've married it to an existing ARM chip to provide peripherals and the host operating system. These decisions are very, very good ones, especially as compared to other multicore processor manufacturers (XMOS and GreenArrays are the two I'm thinking of).