I wonder how many of those systems use FPGAs for algorithm acceleration as Xilinx and Alteration claim massive performance gains.
Imagine a supercomputer with Xilinx Virtex-7-2000s that can be cool but also a programming challenge.
We do have cost effective super computing .... it is likely sitting on your desk in front of you!
Supercomputing is all time relative.
A Cray-1 peaked at 160Mips, 250MFlops.... a small fraction of what the processor and GPU in your laptop and desktop are capable of.
So yes, this level of performance will arrive at $100K - $500K, then $5K and maybe even $500 ... it will just take time.
Quite impressive I would say, that too without using the GPUs for number crunching. That they used a Sparc makes it all the more interesting because of it's legacy architecture.
I guess nearly 30% of that power is used by the system itself apart of the cores. But still it is a huge power and could nearly dominate the expenditure for any institution using this level of processing.
of course this mega processing would only be deployed in govt R&D and weather stations in drug development by big pharma companies.
Though these numbers are pleasing, it would be more valuableto see some really affordable super computing within the budget of a medium sized company, say for ex: $100k-500K
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.