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Date:	Sun, 10 Jun 2007 12:33:45 -0500
From:	Matt Mackall <mpm@...enic.com>
To:	Benjamin Gilbert <bgilbert@...cmu.edu>
Cc:	Jeff Garzik <jeff@...zik.org>, akpm@...ux-foundation.org,
	herbert@...dor.apana.org.au, linux-crypto@...r.kernel.org,
	linux-kernel@...r.kernel.org
Subject: Re: [PATCH 2/3] [CRYPTO] Add optimized SHA-1 implementation for i486+

On Sun, Jun 10, 2007 at 12:47:19PM -0400, Benjamin Gilbert wrote:
> Matt Mackall wrote:
> >On Sat, Jun 09, 2007 at 08:33:25PM -0400, Benjamin Gilbert wrote:
> >>It's not just the loop unrolling; it's the register allocation and 
> >>spilling.  For comparison, I built SHATransform() from the 
> >>drivers/char/random.c in 2.6.11, using gcc 3.3.5 with -O2 and 
> >>SHA_CODE_SIZE == 3 (i.e., fully unrolled); I'm guessing this is pretty 
> >>close to what you tested back then.  The resulting code is 49% MOV 
> >>instructions, and 80% of *those* involve memory.  gcc4 is somewhat 
> >>better, but it still spills a whole lot, both for the 2.6.11 unrolled 
> >>code and for the current lib/sha1.c.
> >
> >Wait, your benchmark is comparing against the unrolled code?
> 
> No, it's comparing the current lib/sha1.c to the optimized code in the 
> patch.  I was just pointing out that the unrolled code you were likely 
> testing against, back then, may not have been very good.  (Though I 
> assumed that you were talking about the unrolled code in random.c, not 
> the code in CryptoAPI, so that might change the numbers some.  It 
> appears from the post you linked below that the unrolled CryptoAPI code 
> still beat the rolled version?)

That predates lib/sha1.c by a while.

> >How big is the -code- footprint?
> 
> About 3700 bytes for the 32-bit version of sha_transform().

lib/sha1.c's footprint is... 621 bytes today. Huh. That's up from 466
bytes when it was introduced and no one's touched it:

http://search.luky.org/ML/linux-kernel.2005/msg06648.html

Stupid compilers.

But anyway. Cache footprint matters. The two big users of SHA1 in the
kernel are /dev/random and IPSec, both of which typically operate on
small chunks of data.

-- 
Mathematics is the supreme nostalgia of our time.
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