p...@thetdh.com writes:
> Normally I'd try a small lookup table (1-byte index to 1-byte value)
> in this case. But if the bitscan instruction were even close in
> performance, it'd be preferable, due to its more-reliable caching
> behavior;
Well, the problem with the bitscan instruction is we won't have it at
all on a lot of configurations. I don't think this problem is so
important as to justify *two* hacked-up code paths.
> The specific code for large-versus-small testing would be useful; did I
> overlook it?
Sorry, I should have provided that. What I've tested is
#define LT(n) n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n
static const char LogTable256[256] =
{
0, 1, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4,
LT(5), LT(6), LT(6), LT(7), LT(7), LT(7), LT(7),
LT(8), LT(8), LT(8), LT(8), LT(8), LT(8),
LT(8), LT(8)
};
int
AllocSetFreeIndex_lt(size_t size)
{
int idx = 0;
if (size > (1 << ALLOC_MINBITS))
{
unsigned int t, tt; // temporaries
size = (size - 1) >> ALLOC_MINBITS;
if ((tt = (size >> 16)))
{
idx = (t = tt >> 8) ? 24 + LogTable256[t] : 16 +
LogTable256[tt];
}
else
{
idx = (t = size >> 8) ? 8 + LogTable256[t] :
LogTable256[size];
}
}
return idx;
}
int
AllocSetFreeIndex_lts(size_t size)
{
int idx = 0;
if (size > (1 << ALLOC_MINBITS))
{
unsigned int t; // temporaries
size = (size - 1) >> ALLOC_MINBITS;
t = size >> 8;
idx = t ? 8 + LogTable256[t] : LogTable256[(unsigned int) size];
}
return idx;
}
plus the obvious additions to the other file for an additional test
type.
> Note that instruction alignment with respect to words is not the only
> potential instruction-alignment issue. In the past, when optimizing
> code to an extreme, I've run into cache-line issues where a small
> change that should've produced a small improvement resulted in a
> largish performance loss, without further work. Lookup tables can have
> an analogous issue; this could, in a simplistic test, explain an
> anomalous large-better-than-small result, if part of the large lookup
> table remains cached. (Do any modern CPUs attempt to address this??)
Yeah, I've seen similar things when trying to micro-optimize code.
That's why it's so critical to get results from multiple
platforms/machines before trusting the answers too much.
> This is difficult to tune in a multiplatform code base, so the numbers
> in a particular benchmark do not tell the whole tale; you'd need to
> make a judgment call, and perhaps to allow a code-configuration
> override.
Well, my judgment call is that we should go with the lookup table.
So far, the only machine where that doesn't seem to provide a nice win
is my old Mac G4 laptop, which is hardly a platform that people are
likely to be stressing about database performance on. Jeremy's PPC
machines like it a lot more, so there's not something fundamentally
wrong with the approach for that architecture. The other alternatives
all have significantly greater downsides.
regards, tom lane
--
Sent via pgsql-hackers mailing list (pgsql-hackers@postgresql.org)
To make changes to your subscription:
http://www.postgresql.org/mailpref/pgsql-hackers
