Advantages of Parallella in Applications

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Advantages of Parallella in Applications

Postby vanjo9800 » Fri Aug 18, 2017 7:05 am

Hello,

I have a Parallella-16 Microserver and I want to use it in some small IoT projects instead of a RPI 3, or UDOO x86. As far as I know, due to its 16 Epiphany cores, the Parallella should outperform the other two boards on tasks related to image processing (Kinect, 2D FFT, Face Detection with OpenCV, and Sobel Kernel) and big data analysis (cryptographical operations, video processing) as a whole. Is this really the case, and is it overall a good idea to use the Parallella as a replacement of the RPI 3 in similar cases?
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Re: Advantages of Parallella in Applications

Postby jar » Fri Aug 18, 2017 12:39 pm

It depends on your application. The Epiphany cores are generally starved for off-chip I/O. Software also has to be written to utilize the cores since you generally cannot just recompile. There are many people doing a variety of projects with the board. Expect challenges and be willing to learn things and you'll do fine.
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Re: Advantages of Parallella in Applications

Postby dobkeratops » Mon Sep 04, 2017 2:22 am

vanjo9800 wrote:Hello,
and is it overall a good idea to use the Parallella as a replacement of the RPI 3 in similar cases?


I'd imagine the RPI3 gpu (you'd have to hack gpgpu code) would outperform the parallela,
there's also this [https://developer.movidius.com] purpose built for the use cases of vision processing - and it has some similarities to the epiphany i.e an on chip scratchpad addressed by many small cores (plus fixed-function units for video preprocessing) .. not as versatile as the e-cores, but purpose built.

I wonder if it would be theoretically possible to deliver the Epiphany 5 in a form factor more like this (i.e. designed to be used in conjunction with an RPi) given that it has way more on chip memory
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