Message-ID: <20071215221442.GA14233@stusta.de>
Date:	Sat, 15 Dec 2007 23:14:42 +0100
From:	Adrian Bunk <bunk@...nel.org>
To:	Mathieu Desnoyers <mathieu.desnoyers@...ymtl.ca>
Cc:	Andrew Morton <akpm@...ux-foundation.org>,
	linux-kernel@...r.kernel.org, Ingo Molnar <mingo@...e.hu>
Subject: Re: Next patches for the 2.6.25 queue

On Fri, Dec 14, 2007 at 11:43:35AM -0500, Mathieu Desnoyers wrote:
> * Adrian Bunk (bunk@...nel.org) wrote:
> > On Thu, Dec 13, 2007 at 09:46:42AM -0500, Mathieu Desnoyers wrote:
> > > Hi Andrew,
> > > 
> > > I would like to post my next patches in a way that would make it as
> > > easy for you and the community to review them. Currently, the patches
> > > that have really settled down are :
> > > 
> > > * For 2.6.25
> > >...
> > > - Immediate Values
> > >   - Redux version, asked by Rusty
> > >...
> > 
> > I might have missed it:
> > 
> > Are there any real numbers (opposed to estimates and microbenchmarks) 
> > available how much performance we actually gain in which situations?
> > 
> > It might be some workload with markers using Immediate Values or 
> > something like that, but it should be something where the kernel
> > runs measurably faster with Immediate Values than without.
> > 
> > Currently I'm somewhere between "your Immediate Values are just an 
> > academic code obfuscation without any gain in practice" and "janitors 
> > should convert all drivers to use Immediate Values", and I'd like to 
> > form an opinion based on in which situations the kernel runs faster by 
> > how many percent.
> > 
> > That's also based on observation like e.g. that __read_mostly should 
> > improve the performance, but I've already seen situations in the kernel 
> > where it forced gcc to emit code that was obviously both bigger and 
> > slower than without the __read_mostly [1], and that's part of why I'm 
> > sceptical of all optimizations below the C level unless proven 
> > otherwise.
> > 
> 
> Hi Adrian,

Hi Mathieu,

> Yes, I had numbers that were presented in the patch headers, but I
> re-ran some tests to have a clearer picture. Actually, what makes this
> difficult to benchmark is the measurement error caused by the system's
> "background noise" (interrupts, softirqs, kernel threads...). Note that
> we are measuring cache effects and, therefore, any program which does
> the same operation many times in a loop will benefit from space and time
> locality and won't trigger many cache misses after the first loop.
> 
> So, here is what I have done to get a significant difference between the
> with and without immediate values :
> 
> I ran, in userspace, a program that does random memory access
> (3 times, in a 10MB array) between each getppid() syscall, everything
> wrapped in a loop, repeated 1000 times (enough so the results are
> reproduceable between runs). Tests were done on a 3GHz Pentium 4 with
> 2GB of ram with Linux 2.6.24-rc5.

gcc version?

> I instrumented getppid() with 40 markers, so the impact of memory reads
> won't be burried in the "background noise". Since each markers is using
> a 24 bytes structure (8 bytes aligned), and are next to each other in
> memory, we will cause (depending on the alignment of structures in the
> cache lines) :
> 
> L1 cache lines : 64 bytes
> L2 cache lines : 128 bytes
> 
> 8-9 memory reads (L2 cache misses)
> 15-16 L2 accesses (L1 cache misses)
> 
> for each getppid() syscall.
> 
> The result is as expected :
> 
> Number of cycles for getppid
> 
> * Without memory pressure : 1470 cycles
> * With memory pressure (std. dev. calculated on 3 groups of 1000 loops on
>                         compiled out case : 416.54 cycles)
>   * 40 markers without immediate values : 14938 cycles
>   * 40 markers with immediate values :    12795 cycles
>   * Markers compiled out :                12427 cycles
> 
> for a 14% speedup reached by using immediate values of data reads.
> There seems to be no significant difference between compiling out the
> markers and using immediate values to disable them.

OK, it's good to see that there are situations where we can measure the 
benefits.

> Note that since the markers are located in the same cache lines, those
> 40 markers are the equivalent to have about 8 markers _not_ on the same
> cache lines (in real life, that's very likely to be the case).
> 
> So, the conditions to have a speedup here :
> 
> - A significant amount of cache lines must be saved.
> - They must be read from memory often.
> 
> So, we will likely see a real-life impact in situations such as :
> instrumenting spinlocks; whenever they would be taken/released many
> times in a system call made by an application doing random memory access
> (a hash-based search engine would be a good example, a database would
> also be a suitable workload), we should be able to measure the impact.
> However, this is hard to reproduce/measure, so this is why I created a
> synthetic workload simulating this behavior.
> 
> So I would really suggest using the immediate values for applications
> such as :
> - code markup (the markers)
> - dynamically enable what would have otherwise been selected in
>   menuconfig (such as profiling, scheduler/timer statistics for
>   powertop...)
> 
> where the goal is to have _zero_ measurable impact on performance on any
> workload.

Are the effects of your immediate values on gcc optimizations really 
well enough researched for being able to do this claim of
"zero measurable impact on performance on any workload"?

It should be quite easy to produce an artifical example where it has a 
huge influence on performance, and proving that this will never ever 
happen in practice sounds like a hard task.

> Mathieu

cu
Adrian

-- 

       "Is there not promise of rain?" Ling Tan asked suddenly out
        of the darkness. There had been need of rain for many days.
       "Only a promise," Lao Er said.
                                       Pearl S. Buck - Dragon Seed

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