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
Replay available now: A handful of emerging network technologies are competing to be the preferred wide-area connection for the Internet of Things. All claim lower costs and power use than cellular but none have wide deployment yet. Listen in as proponents of leading contenders make their case to be the metro or national IoT network of the future. Rick Merritt, EE Times Silicon Valley Bureau Chief, moderators this discussion. Join in and ask his guests questions.