Tornado on embedded

Morgan Tørvolt

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Oct 4, 2015, 3:22:45 PM10/4/15

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Because I know Tornado, and because I like it, I thought I should just try to run it on an embedded system that I am working on. I have everything set up and working fine, except for one thing. It is spending about 15% of the CPU time on my raspberry Pi, and 30% on a different ARM CPU I am testing with. This is when just sitting idle. I am expecting this to be some sort of polling mechanism or similar that is eating CPU time, but I would like to know if there is a way to fix it. I am by no means an expert, so this is why I am coming here. Is there a way for me do reduce the idle CPU load?

Ben Darnell

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Oct 4, 2015, 3:51:21 PM10/4/15

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On Sun, Oct 4, 2015 at 3:22 PM, Morgan Tørvolt <mor...@torvolt.com> wrote:

Because I know Tornado, and because I like it, I thought I should just try to run it on an embedded system that I am working on. I have everything set up and working fine, except for one thing. It is spending about 15% of the CPU time on my raspberry Pi, and 30% on a different ARM CPU I am testing with. This is when just sitting idle. I am expecting this to be some sort of polling mechanism or similar that is eating CPU time, but I would like to know if there is a way to fix it. I am by no means an expert, so this is why I am coming here. Is there a way for me do reduce the idle CPU load?

What exactly is your program doing? The idle CPU usage should be nearly zero if you don't have any PeriodicCallbacks (or equivalent). There are only two places in Tornado itself that create PeriodicCallbacks: curl_httpclient and autoreload (aka debug mode). If you are using either of those features, turn them off and you should see idle usage drop.

-Ben

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Phyo Arkar

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Oct 6, 2015, 7:40:15 AM10/6/15

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Also try it on pypy arm. It is very much faster if you on 2.6.1

Morgan Tørvolt

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Oct 6, 2015, 4:52:10 PM10/6/15

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Disabling debug worked. I have no recollection of it being enabled. Thank you very much!

-Morgan-

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