Hi there, If you own a Parallella please help us build the most efficient virtual supercomputer in the world this week! Who, what, where, when, why? http://supercomputer.io Thanks to the amazing folks at resin.io there is now a containerized application deployment platform for the Parallella board enabling super easy workload scheduling for a fleet of thousands of Parallella computers across the globe…
If you want your project featured, submit your project here: Kinect Imaging Demo by “shodruky” SOURCES High-end Audio Playback with the Parallella by “patc” Mandelbrot by “shodruky” SOURCES Blobluska by “shodruky” SOURCES Parallella gets a remote GPU Boost by “shodruky” Aobench by “Syoyo Fujita“ SOURCES A DAC Waveform Generator by “Aaron Wisner” SOURCES John The Ripper by Katja Malvoni, Solar Designer (OpenWall) SOURCES…
For those of you looking to cite the original work on Parallella and Epiphany, please use the following: A. Olofsson, R. Trogan, and O. Raikhman, “A 1024-core 70 GFLOP/W Floating Point Manycore Microprocessor“, 15th Annual Workshop on High Performance Embedded Computing, Sept 2011 A. Olofsson, T. Nordström and Z. Ul-Abdin, “Kickstarting high-performance energy-efficient manycore architectures with Epiphany” 2014 48th Asilomar Conference on…
Since the Parallella Kickstarter campaign in 2012 the one question I get more than any other is ” How the @#$% do I program this thing?” You are never going to become fluent in parallel programming without coding, so pick a card, any card. Let’s do some parallel programming! Thanks to the incredible open source work that has come out of the Parallella community…
#10. Best Price Performance There are cheaper single board computers out there, but starting at $99 the Parallella board is still the leader in terms of price/performance. 18 CPU cores, Gigabit Ethernet, 1GB RAM, and a Field Programmable Gate Array for $99 is a great deal! #9. Made in the USA The Parallella board was designed and manufactured locally here in New England…
So far on this journey the examples we have looked at have been based around simple programs which execute within a sequential manner once the program starts. However real world programs are more complex and it is often the case in embedded systems that the engineer needs to Perform a specific task or tasks at a periodic interval Time the…
Brown Deer Technology (BDT) is excited to announce that we have demonstrated the use of MPI for programming the Epiphany architecture. Programming is easy and the performance has been incredible. In this post I will share an overview of what is being developed and highlight an example of its application to a 2D FFT. MPI, the overlooked API for Epiphany….
In the previous blog we looked at how we could transfer a few bytes between processor cores thanks to the flat memory space. However, there are applications where we will want transfer large blocks of data between the cores, to do so it is more efficient to use the Direct Memory Access (DMA) than to let the CPU perform the…
I am very happy to tell you that the first Parallella Technical Conference (PTC ) (or “parallella meetup” if you like) will be held on May 30th in Tokyo, Japan!! A thousand thanks to Masafumi Ohta (who organized the first Raspberry Pi meetup in Japan) and RS Components for helping out with the organization of the event! DesignSpark announcement from Masafumi Ohta (in…
