“It’s a terrific processor for everyday computing, not the right device as we go towards high performance computing,”
His statement seems to redefine high performance computing to energy efficient computing.
High performance computing IS energy efficient computing. At the scale we're talking nowadays, the best way to allow supercomputers to be faster is by reducing their power consumption and heat dissipation. Those are the factors limiting you from throwing in more computing resources.
all cortex a9 arm processors have out of order execution and branch prediction already. cortex a15 will also be super scalar. cortex a8 is dual in-order instruction issue. most vendors also include SIMD units in there arm offerings. no much a intel processor has on these except 5-10x perf/watt
Very interesting. Since supercomputers are all about mega-multicores, it would seem that there is a tradeoff between designing in more energy efficient cores, vs perhaps fewer cores that are better able to manage unpredictable tasks.
I'm siding with Intel on this one. They've been successful for over 40 years and they keep evolving and adapting. 22nm process technology is going to be a big winner with a lot less power and a much smaller chip size (cheaper). ARM will lose most of the power advantage they used to have and as technology continues to march towards 16nm, 10nm, etc, it'll no longer be a factor. It'll be about features, ease-of-use and performance
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.