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Message-ID: <CAKtfLcus0P=yiU+8qu+yg2yR5zXO4kOhQFfno=aE9UQoiSMYCg@mail.gmail.com>
Date: Mon, 16 Sep 2013 10:53:15 -0700
From: Alain Espinosa <alainesp@...il.com>
To: john-dev@...ts.openwall.com
Subject: Re: GTX TITAN (was: new dev box wishes)
On 9/15/13, Milen Rangelov <gat3way@...il.com> wrote:
> I have almost never seen any benefits from vectorizing on 7970 (well expect
> one or two cases).
>
> There are occasions where the same code, vectorized, gives better
> performance on 7970, but then if you can transform the scalar code so that
> more work is being done in the kernel (e.g by doing 4 consecutive
> operations in a loop as compared to using 4x vectors) you'd eventually come
> up with a faster, scalar solution given the same ammount of work (global
> work size / vector size). In case global work size is the same, the
> vectorized solution may seem faster just because overall you have more
> kernel launches per second with the scalar code as compared to vector code
> and kernel launch latency and host-device transfers then come into play. I
> think AMD APP profiler can be very helpful to figure out what's happening
> in such cases.
This is not the case with my test (almost all you write). For
clearance i give the general kernel before:
__kernel void ntlm_crack(...)
{
// Initialization code
...
for(uint i=0;i<100;i++)
{
uint a,b,c,d;
// NTLM code
...
}
}
and after:
__kernel void ntlm_crack(...)
{
// Initialization code
...
for(uint i=0;i<100;i+=3)
{
uint3 a,b,c,d;
// NTLM code
...
}
}
This give the 15-20% performance improvement in a HD 7970 (and in a GT
630) (this is in my particular case, but i think it give in other case
too). You note that all parameters are the same for the two solutions,
and yes, i make a waste calculation in the second solution at end of
cycle.
saludos,
alain
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