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On 02/05/18 22:35, Simon Waters wrote:
On Tuesday, 24 April 2018 16:24:27 BST Martijn Grooten wrote:Seeing as there are many people here who are really into Raspberry Pi's: here the CEO of Cloudflare (a large web company) says they're switching part of their infrastructure to ARM and are able to do so because a lot of the (open source) software has been optimized for ART processors by "Pi tinkerers": https://twitter.com/eastdakota/status/988811355762319360They put out hard numbers a while back on this. https://blog.cloudflare.com/arm-takes-wing/ I've also seen some discussion of optimization for ARM from CloudFlare which left me with the impression that there is a LONG way to go before modern compilers are extracting full value from fancy hardware features of most modern CPUs purely in terms of recognizing code that maps to the CPUs fancier features. ARM themselves have been working on speeding up code (SIMD stuff
mostly) with the
https://developer.arm.com/technologies/compute-library getting
speedups from double to 15x which aint bad. I'd also be interested
to see how the Pi benefits thermally from this as I ran some AI
code on my 8core intel jobie with the same SIMD speedups and it
was a lot faster - and the CPU ran a lot cooler too! They even stretch as far as AI https://developer.arm.com/products/processors/machine-learning/arm-nn For the raspberryPis the best route for a lot of stuff is the GPU and https://github.com/doe300/VC4C (see the readme.md) takes opengl to the GPU though I have yet to find out if there are any thermal problems running the GPU flat out at 24GFLops for any time period.
As always it will take a little time for coders to learn to get
the most out of it but I did some calculations on my old cigarette
packet and I worked out that up to 400 piZeros is more cost
effective for mining/ai than the equivalent cost in Nvidia fudging
for host cpu/pizero power and networking. Tom te tom te tom |
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