Thanks for assistenc, can you please cut and paste your code here :-) ?
Hm, but i can't see that much difference to the original (except my machine
is somewhat slower overall) ...
"
========================================== 100k jobs each perform
1000-pi-slice loop
AKKA
average 1 threads : 772
average 2 threads : 378
average 3 threads : 295
average 4 threads : 238
average 5 threads : 201
average 6 threads : 162
average 7 threads : 139
average 8 threads : 128
average 9 threads : 118
average 10 threads : 114
average 11 threads : 128
average 12 threads : 118
synced Threading
average 1 threads : 674
average 2 threads : 373
average 3 threads : 231
average 4 threads : 187
average 5 threads : 152
average 6 threads : 128
average 7 threads : 117
average 8 threads : 110
average 9 threads : 115
average 10 threads : 127
average 11 threads : 135
average 12 threads : 151
"
Can you run your sample and use 100-iterations and 1m jobs ... ?
"
int numStepsPerComp = 100;
int numJobs = 1000000;
"
Am Dienstag, 7. Januar 2014 14:23:06 UTC+1 schrieb Patrik Nordwall:
>
> As pointed out I do think the creation and shutdown of the actor systems
> influence the results. I tried to run your code and after changing to one
> actor system my results are:
>
> average 1 threads : 614
> average 2 threads : 309
> average 3 threads : 250
> average 4 threads : 190
> average 5 threads : 159
> average 6 threads : 141
> average 7 threads : 162
> average 8 threads : 157
> average 9 threads : 156
> average 10 threads : 145
> average 11 threads : 140
> average 12 threads : 134
> average 13 threads : 133
> average 14 threads : 131
> average 15 threads : 138
> average 16 threads : 136
>
> Compared to PiThreaded:
> average 1 threads : 495
> average 2 threads : 263
> average 3 threads : 179
> average 4 threads : 146
> average 5 threads : 137
> average 6 threads : 128
> average 7 threads : 122
> average 8 threads : 122
> average 9 threads : 122
> average 10 threads : 123
> average 11 threads : 122
> average 12 threads : 123
> average 13 threads : 123
> average 14 threads : 122
> average 15 threads : 124
> average 16 threads : 125
>
> Cheers,
> Patrik
>
>
> On Tue, Jan 7, 2014 at 1:32 PM, Rüdiger Möller <[email protected]<javascript:>
> > wrote:
>
>>
>>
>> Am Dienstag, 7. Januar 2014 11:57:54 UTC+1 schrieb √:
>>
>>> You definitely want to play around with the configuration and make sure
>>> that you are benchmarking correctly: https://
>>> stackoverflow.com/questions/504103/how-do-i-write-a-
>>> correct-micro-benchmark-in-java
>>>
>>>
>> I know the details regarding VM warmup and how to avoid in-place JIT'ing.
>> I am iterating the bench 30 times, only take the average times of last 10
>> iterations (20 iterations warmup), see mainloop i added to the original
>> AKKA sample. Also the benchmark is not in the nanos, but several hundred
>> millis per iteration.
>>
>>
>>> dispatcher throughput, thread pool type and thread pool size, and
>>> mailbox type.
>>>
>>
>> can you be more specific pls (Code!). The use case is many short running
>> computations with contention created when aggregating the result.
>>
>>
>>>
>>> Also, Opterons have pretty bad cache performance for inter-core comms
>>> (Intel uses inclusive L3s for faster on-package caches)
>>>
>>>
>> Well the other benches use the same hardware.
>> I am currently repeating the test on a dual socket x 6 core intel xeon
>> (so 12 cores, 24Hardware-Threads). With Akka still being worst one by far.
>>
>>
>>> Cheers,
>>> √
>>>
>>>
>>> On Tue, Jan 7, 2014 at 11:49 AM, Endre Varga <[email protected]>wrote:
>>>
>>>> Hi Rüdiger,
>>>>
>>>> Have you tried to play around with the throughput setting of the
>>>> dispatcher? For these kind of non-interactive jobs fairness is not an
>>>> issue, so you might most likely want to increase that value.
>>>>
>>>> -Endre
>>>>
>>>>
>>>> On Tue, Jan 7, 2014 at 1:26 AM, Rüdiger Möller <[email protected]>wrote:
>>>>
>>>>> Please checkout chart here.
>>>>>
>>>>> https://plus.google.com/109956740682506252532/posts/1hKcYyPuJzh
>>>>>
>>>>> [cut&pasted from g+]:
>>>>> Hey folks, i am currently writing a blog benchmarking akka vs
>>>>> traditional threading. I use the example provided by the akka java
>>>>> tutorial
>>>>> computing Pi. In order to compare the abillity to paralellize big amounts
>>>>> of tiny jobs, i use Pi-computaional slices of 100,000 jobs with iteration
>>>>> of 1000.
>>>>> Hardware is dual socket AMD opteron with each 8 real cores and 8
>>>>> 'virtual' (because the test uses floating point i just scale to 16
>>>>> threads
>>>>> instead of 32).
>>>>>
>>>>> As you can see in the chart AKKA (2.03) performs very bad compared to
>>>>> threads and a homebrew actor lib.
>>>>>
>>>>> source of akka bench is here: https://gist.github.com/
>>>>> RuedigerMoeller/8272966
>>>>> (added outer loop to original typesafe sample)
>>>>>
>>>>> Is there anything I miss or is this 'normal' Akka performance ?
>>>>>
>>>>> Threading-style code is here: https://gist.github.com/
>>>>> RuedigerMoeller/8273307
>>>>>
>>>>> I tried 2.1 with even worse results.
>>>>>
>>>>> http://imgur.com/TAt9XOf
>>>>>
>>>>> --
>>>>> >>>>>>>>>> Read the docs: http://akka.io/docs/
>>>>> >>>>>>>>>> Check the FAQ: http://akka.io/faq/
>>>>> >>>>>>>>>> Search the archives: https://groups.google.com/
>>>>> group/akka-user
>>>>> ---
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>>>>>
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>>>>>
>>>>
>>>> --
>>>> >>>>>>>>>> Read the docs: http://akka.io/docs/
>>>> >>>>>>>>>> Check the FAQ: http://akka.io/faq/
>>>> >>>>>>>>>> Search the archives: https://groups.google.com/
>>>> group/akka-user
>>>> ---
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>>>>
>>>
>>>
>>>
>>> --
>>> Cheers,
>>> √
>>>
>>> * Viktor Klang*
>>> *Director of Engineering*
>>> Typesafe <http://www.typesafe.com/>
>>>
>>> Twitter: @viktorklang
>>>
>> --
>> >>>>>>>>>> Read the docs: http://akka.io/docs/
>> >>>>>>>>>> Check the FAQ: http://akka.io/faq/
>> >>>>>>>>>> Search the archives: https://groups.google.com/group/akka-user
>> ---
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>>
>
>
>
> --
>
> Patrik Nordwall
> Typesafe <http://typesafe.com/> - Reactive apps on the JVM
> Twitter: @patriknw
>
>
--
>>>>>>>>>> Read the docs: http://akka.io/docs/
>>>>>>>>>> Check the FAQ: http://akka.io/faq/
>>>>>>>>>> Search the archives: https://groups.google.com/group/akka-user
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