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Use intrinsics for loading/storing data in the DCT/IDCT functions. This has no effect on the performance of the aligned loads/stores, but it makes it more obvious what that code is doing. Using intrinsics for the unaligned stores in the inverse DCT functions increases overall decompression performance by 1-2%.

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git-svn-id: svn://svn.code.sf.net/p/libjpeg-turbo/code/trunk@1472 632fc199-4ca6-4c93-a231-07263d6284db
This commit is contained in:
DRC
2014-12-22 16:04:17 +00:00
parent 243aba148e
commit 510e67c542
4 changed files with 122 additions and 82 deletions
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78
simd/jidctfst-altivec.c
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@@ -112,7 +112,7 @@ jsimd_idct_ifast_altivec (void * dct_table_, JCOEFPTR coef_block,
z5, z10, z10s, z11, z12s, z13,
out0, out1, out2, out3, out4, out5, out6, out7;
__vector signed char outb;
long long *outptr, *outbptr = (long long *)(&outb);
int *outptr;
/* Constants */
__vector short zero = { __8X(0) },
@@ -127,14 +127,14 @@ jsimd_idct_ifast_altivec (void * dct_table_, JCOEFPTR coef_block,
/* Pass 1: process columns */
col0 = *(__vector short *)&coef_block[0];
col1 = *(__vector short *)&coef_block[8];
col2 = *(__vector short *)&coef_block[16];
col3 = *(__vector short *)&coef_block[24];
col4 = *(__vector short *)&coef_block[32];
col5 = *(__vector short *)&coef_block[40];
col6 = *(__vector short *)&coef_block[48];
col7 = *(__vector short *)&coef_block[56];
col0 = vec_ld(0, coef_block);
col1 = vec_ld(16, coef_block);
col2 = vec_ld(32, coef_block);
col3 = vec_ld(48, coef_block);
col4 = vec_ld(64, coef_block);
col5 = vec_ld(80, coef_block);
col6 = vec_ld(96, coef_block);
col7 = vec_ld(112, coef_block);
tmp1 = vec_or(col1, col2);
tmp2 = vec_or(col3, col4);
@@ -196,31 +196,51 @@ jsimd_idct_ifast_altivec (void * dct_table_, JCOEFPTR coef_block,
TRANSPOSE(out, col);
outb = vec_packs(col0, col1);
outb = vec_packs(col0, col0);
outb = vec_add(outb, pb_centerjsamp);
outptr = (long long *)(output_buf[0] + output_col);
*outptr = outbptr[0];
outptr = (long long *)(output_buf[1] + output_col);
*outptr = outbptr[1];
outptr = (int *)(output_buf[0] + output_col);
vec_ste((__vector int)outb, 0, outptr);
vec_ste((__vector int)outb, 4, outptr);
outb = vec_packs(col2, col3);
outb = vec_packs(col1, col1);
outb = vec_add(outb, pb_centerjsamp);
outptr = (long long *)(output_buf[2] + output_col);
*outptr = outbptr[0];
outptr = (long long *)(output_buf[3] + output_col);
*outptr = outbptr[1];
outptr = (int *)(output_buf[1] + output_col);
vec_ste((__vector int)outb, 0, outptr);
vec_ste((__vector int)outb, 4, outptr);
outb = vec_packs(col4, col5);
outb = vec_packs(col2, col2);
outb = vec_add(outb, pb_centerjsamp);
outptr = (long long *)(output_buf[4] + output_col);
*outptr = outbptr[0];
outptr = (long long *)(output_buf[5] + output_col);
*outptr = outbptr[1];
outptr = (int *)(output_buf[2] + output_col);
vec_ste((__vector int)outb, 0, outptr);
vec_ste((__vector int)outb, 4, outptr);
outb = vec_packs(col6, col7);
outb = vec_packs(col3, col3);
outb = vec_add(outb, pb_centerjsamp);
outptr = (long long *)(output_buf[6] + output_col);
*outptr = outbptr[0];
outptr = (long long *)(output_buf[7] + output_col);
*outptr = outbptr[1];
outptr = (int *)(output_buf[3] + output_col);
vec_ste((__vector int)outb, 0, outptr);
vec_ste((__vector int)outb, 4, outptr);
outb = vec_packs(col4, col4);
outb = vec_add(outb, pb_centerjsamp);
outptr = (int *)(output_buf[4] + output_col);
vec_ste((__vector int)outb, 0, outptr);
vec_ste((__vector int)outb, 4, outptr);
outb = vec_packs(col5, col5);
outb = vec_add(outb, pb_centerjsamp);
outptr = (int *)(output_buf[5] + output_col);
vec_ste((__vector int)outb, 0, outptr);
vec_ste((__vector int)outb, 4, outptr);
outb = vec_packs(col6, col6);
outb = vec_add(outb, pb_centerjsamp);
outptr = (int *)(output_buf[6] + output_col);
vec_ste((__vector int)outb, 0, outptr);
vec_ste((__vector int)outb, 4, outptr);
outb = vec_packs(col7, col7);
outb = vec_add(outb, pb_centerjsamp);
outptr = (int *)(output_buf[7] + output_col);
vec_ste((__vector int)outb, 0, outptr);
vec_ste((__vector int)outb, 4, outptr);
}