How one person managed to build a supercomputer from Parallella boards – While you can build your own Linux supercomputer using commercial off-the-shelf (COTS) products, even with just Raspberry Pi boards , these don’t natively support massively parallel computing — the cornerstone of modern supercomputing. That’s where Adapteva, with its $99 Parallella parallel processing single-board supercomputer comes in. Andreas Olofsson explained the need for such a board: It is now possible to buy Parallella computers from Adapteva’s website. The credit-card sized Parallella is powered by Adapteva’s breakthrough 16- and 64-core Epiphany multicore processors. Also Read: How To Add Pattern Lock Security On Windows The first model comes with the following hardware features: Zynq-7020 dual-core ARM A9 CPU Epiphany Multicore Accelerator (16 or 64 cores) 1GB SDRAM MicroSD Card USB 2.0 (two) Four expansion connectors [option] Ethernet 10/100/1000 HDMI connection These initial boards use Ubuntu Linux. Support for other operating systems will depend on community involvement, however there have been a number of projects that incoorporate Debian onto these boards. So how easy is it to build a Supercomputer from these boards? Twitter engineer Brian Guarraci decided to find out just that. He calls his creation Parallac, and it’s an homage to supercomputers. So how does the system perform? Guarraci says that Parallac has achieved around 208 GFLOPs. To put that in perspective, it’s roughly 200 times more than the first Cray-2 supercomputer could Home News Build a supercomputer from Parallella boards POPULAR POSTS Build a supercomputer from Parallella boards News Dec 31, 2014 1 Comment 7h3 Wh173 R4bb17 146 5 2 Historically, serial processing [conventional computing] improved so quickly that in most applications, there was no need for massively parallel processing. Unfortunately, serial processing performance has now hit a brick wall, and the only practical path to scaling performance in the future is through parallel processing. To make parallel software applications ubiquitous, we will need to make parallel hardware accessible to all programmers, create much more productive parallel programming methods, and convert all serial programmers to parallel programmers. Search How to use Android as a Webcam Think Twice Before You Sell Your Android Phone Free Microsoft Office alternatives