mirror of
https://github.com/dolphin-emu/dolphin.git
synced 2024-11-15 13:57:57 -07:00
9b0357b5e2
use plain vertex arrays instead of VBOs to render in Opengl plugin as the nature of the data make VBOs slower. This must bring, depending on the implementation, a good speedup in opengl. in my system now opengl and d3d9 have a difference of 1 to 5 fps depending of the game. some cleanup and a little work pointing to future improvements in the way of rendering. please test and check for any errors. git-svn-id: https://dolphin-emu.googlecode.com/svn/trunk@6139 8ced0084-cf51-0410-be5f-012b33b47a6e
238 lines
4.4 KiB
C++
238 lines
4.4 KiB
C++
// Copyright (C) 2003 Dolphin Project.
|
|
|
|
// This program is free software: you can redistribute it and/or modify
|
|
// it under the terms of the GNU General Public License as published by
|
|
// the Free Software Foundation, version 2.0.
|
|
|
|
// This program is distributed in the hope that it will be useful,
|
|
// but WITHOUT ANY WARRANTY; without even the implied warranty of
|
|
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
|
|
// GNU General Public License 2.0 for more details.
|
|
|
|
// A copy of the GPL 2.0 should have been included with the program.
|
|
// If not, see http://www.gnu.org/licenses/
|
|
|
|
// Official SVN repository and contact information can be found at
|
|
// http://code.google.com/p/dolphin-emu/
|
|
|
|
#include "Hash.h"
|
|
|
|
// uint32_t
|
|
// WARNING - may read one more byte!
|
|
// Implementation from Wikipedia.
|
|
u32 HashFletcher(const u8* data_u8, size_t length)
|
|
{
|
|
const u16* data = (const u16*)data_u8; /* Pointer to the data to be summed */
|
|
size_t len = (length + 1) / 2; /* Length in 16-bit words */
|
|
u32 sum1 = 0xffff, sum2 = 0xffff;
|
|
|
|
while (len)
|
|
{
|
|
size_t tlen = len > 360 ? 360 : len;
|
|
len -= tlen;
|
|
|
|
do {
|
|
sum1 += *data++;
|
|
sum2 += sum1;
|
|
}
|
|
while (--tlen);
|
|
|
|
sum1 = (sum1 & 0xffff) + (sum1 >> 16);
|
|
sum2 = (sum2 & 0xffff) + (sum2 >> 16);
|
|
}
|
|
|
|
// Second reduction step to reduce sums to 16 bits
|
|
sum1 = (sum1 & 0xffff) + (sum1 >> 16);
|
|
sum2 = (sum2 & 0xffff) + (sum2 >> 16);
|
|
return(sum2 << 16 | sum1);
|
|
}
|
|
|
|
|
|
// Implementation from Wikipedia
|
|
// Slightly slower than Fletcher above, but slighly more reliable.
|
|
#define MOD_ADLER 65521
|
|
// data: Pointer to the data to be summed; len is in bytes
|
|
u32 HashAdler32(const u8* data, size_t len)
|
|
{
|
|
u32 a = 1, b = 0;
|
|
|
|
while (len)
|
|
{
|
|
size_t tlen = len > 5550 ? 5550 : len;
|
|
len -= tlen;
|
|
|
|
do
|
|
{
|
|
a += *data++;
|
|
b += a;
|
|
}
|
|
while (--tlen);
|
|
|
|
a = (a & 0xffff) + (a >> 16) * (65536 - MOD_ADLER);
|
|
b = (b & 0xffff) + (b >> 16) * (65536 - MOD_ADLER);
|
|
}
|
|
|
|
// It can be shown that a <= 0x1013a here, so a single subtract will do.
|
|
if (a >= MOD_ADLER)
|
|
{
|
|
a -= MOD_ADLER;
|
|
}
|
|
|
|
// It can be shown that b can reach 0xfff87 here.
|
|
b = (b & 0xffff) + (b >> 16) * (65536 - MOD_ADLER);
|
|
|
|
if (b >= MOD_ADLER)
|
|
{
|
|
b -= MOD_ADLER;
|
|
}
|
|
|
|
return((b << 16) | a);
|
|
}
|
|
|
|
|
|
// Another fast and decent hash
|
|
u32 HashFNV(const u8* ptr, int length)
|
|
{
|
|
u32 hash = 0x811c9dc5;
|
|
|
|
for (int i = 0; i < length; i++)
|
|
{
|
|
hash *= 1677761;
|
|
hash ^= ptr[i];
|
|
}
|
|
|
|
return(hash);
|
|
}
|
|
|
|
|
|
// Stupid hash - but can't go back now :)
|
|
// Don't use for new things. At least it's reasonably fast.
|
|
u32 HashEctor(const u8* ptr, int length)
|
|
{
|
|
u32 crc = 0;
|
|
|
|
for (int i = 0; i < length; i++)
|
|
{
|
|
crc ^= ptr[i];
|
|
crc = (crc << 3) | (crc >> 29);
|
|
}
|
|
|
|
return(crc);
|
|
}
|
|
|
|
#ifdef _M_X64
|
|
u64 GetHash64(const u8 *src, int len, u32 samples)
|
|
{
|
|
const u64 m = 0xc6a4a7935bd1e995;
|
|
const int r = 47;
|
|
|
|
u64 h = len * m;
|
|
u32 Step = (len/8);
|
|
const u64 * data = (const u64 *)src;
|
|
const u64 * end = data + Step;
|
|
if(samples == 0) samples = Step;
|
|
Step = Step / samples;
|
|
if(Step < 1) Step = 1;
|
|
while(data < end)
|
|
{
|
|
u64 k = data[0];
|
|
data+=Step;
|
|
k *= m;
|
|
k ^= k >> r;
|
|
k *= m;
|
|
h ^= k;
|
|
h *= m;
|
|
}
|
|
|
|
const u8 * data2 = (const u8*)end;
|
|
|
|
switch(len & 7)
|
|
{
|
|
case 7: h ^= u64(data2[6]) << 48;
|
|
case 6: h ^= u64(data2[5]) << 40;
|
|
case 5: h ^= u64(data2[4]) << 32;
|
|
case 4: h ^= u64(data2[3]) << 24;
|
|
case 3: h ^= u64(data2[2]) << 16;
|
|
case 2: h ^= u64(data2[1]) << 8;
|
|
case 1: h ^= u64(data2[0]);
|
|
h *= m;
|
|
};
|
|
|
|
h ^= h >> r;
|
|
h *= m;
|
|
h ^= h >> r;
|
|
|
|
return h;
|
|
}
|
|
|
|
#else
|
|
u64 GetHash64(const u8 *src, int len, u32 samples)
|
|
{
|
|
const u32 m = 0x5bd1e995;
|
|
const int r = 24;
|
|
|
|
u32 h1 = len;
|
|
u32 h2 = 0;
|
|
|
|
u32 Step = (len / 4);
|
|
const u32 * data = (const u32 *)src;
|
|
const u32 * end = data + Step;
|
|
const u8 * uEnd = (const u8 *)end;
|
|
if(samples == 0) samples = Step;
|
|
Step = Step / samples;
|
|
|
|
if(Step < 2) Step = 2;
|
|
|
|
while(data < end)
|
|
{
|
|
u32 k1 = data[0];
|
|
k1 *= m;
|
|
k1 ^= k1 >> r;
|
|
k1 *= m;
|
|
h1 *= m;
|
|
h1 ^= k1;
|
|
|
|
|
|
u32 k2 = data[1];
|
|
k2 *= m;
|
|
k2 ^= k2 >> r;
|
|
k2 *= m;
|
|
h2 *= m;
|
|
h2 ^= k2;
|
|
data+=Step;
|
|
}
|
|
|
|
if((len & 7) > 3)
|
|
{
|
|
u32 k1 = *(end - 1);
|
|
k1 *= m;
|
|
k1 ^= k1 >> r;
|
|
k1 *= m;
|
|
h1 *= m;
|
|
h1 ^= k1;
|
|
len -= 4;
|
|
}
|
|
|
|
switch(len & 3)
|
|
{
|
|
case 3: h2 ^= uEnd[2] << 16;
|
|
case 2: h2 ^= uEnd[1] << 8;
|
|
case 1: h2 ^= uEnd[0];
|
|
h2 *= m;
|
|
};
|
|
|
|
h1 ^= h2 >> 18; h1 *= m;
|
|
h2 ^= h1 >> 22; h2 *= m;
|
|
h1 ^= h2 >> 17; h1 *= m;
|
|
h2 ^= h1 >> 19; h2 *= m;
|
|
|
|
u64 h = h1;
|
|
|
|
h = (h << 32) | h2;
|
|
|
|
return h;
|
|
}
|
|
|
|
|
|
#endif
|