以下代码使用非常简单的方法来计算矩阵乘积a * b
并将结果存储在c
中。代码在GCC 4.4.6(带有-O3
)和英特尔编译器13.0.1上使用-mtune=native
编译,并且GCC上的速度明显更差(使用的样本数据超过两倍)
我很好奇这些差异的原因,但不幸的是我对装配输出不够熟悉,无法理解这里发生了什么。从一眼看出,ICC似乎在向量化计算方面做得更好,但我无法解释更多。 (这主要是出于学习目的,因为我无法在生产中使用它!)
void __attribute__ ((noinline)) mm( // Line 3
int n,
double*__restrict__ c,
double*__restrict__ a,
double*__restrict__ b
) {
int i, j, k;
for (i = 0; i < n; i++) {
for (j = 0; j < n; j++) {
c[i + n * j] = 0; // Line 12
for (k = 0; k < n; k++) {
c[i + n * j] += a[i + n * k] * b[k + n * j]; // Line 14
}
}
}
}
这是GCC的输出:
_Z2mmiPdS_S_:
.LFB0:
.cfi_startproc
.cfi_personality 0x3,__gxx_personality_v0
pushq %r14 #
.cfi_def_cfa_offset 16
.cfi_offset 14, -16
testl %edi, %edi # n
movq %rcx, %r14 # b, b
pushq %r13 #
.cfi_def_cfa_offset 24
.cfi_offset 13, -24
pushq %r12 #
.cfi_def_cfa_offset 32
.cfi_offset 12, -32
pushq %rbp #
.cfi_def_cfa_offset 40
.cfi_offset 6, -40
pushq %rbx #
.cfi_def_cfa_offset 48
.cfi_offset 3, -48
jle .L6 #,
leal -1(%rdi), %eax #, tmp96
movslq %edi, %r11 # n, n
movq %rdx, %rbx # a, ivtmp.54
xorl %r12d, %r12d # ivtmp.67
salq $3, %r11 #, D.2193
xorl %ebp, %ebp # prephitmp.37
leaq 8(,%rax,8), %r13 #, D.2208
.L3:
leaq (%rsi,%r12), %r10 #, ivtmp.61
movq %r14, %rcx # b, ivtmp.63
xorl %edx, %edx # j
.p2align 4,,10
.p2align 3
.L5:
movq $0, (%r10) #,* ivtmp.61
movq %rbp, -8(%rsp) # prephitmp.37,
movq %rcx, %r9 # ivtmp.63, ivtmp.70
movsd -8(%rsp), %xmm1 #, prephitmp.37
movq %rbx, %r8 # ivtmp.54, ivtmp.69
xorl %eax, %eax # k
.p2align 4,,10
.p2align 3
.L4:
movsd (%r8), %xmm0 #* ivtmp.69, tmp99
addl $1, %eax #, k
addq %r11, %r8 # D.2193, ivtmp.69
mulsd (%r9), %xmm0 #* ivtmp.70, tmp99
addq $8, %r9 #, ivtmp.70
cmpl %edi, %eax # n, k
addsd %xmm0, %xmm1 # tmp99, prephitmp.37
movsd %xmm1, (%r10) # prephitmp.37,* ivtmp.61
jne .L4 #,
addl $1, %edx #, j
addq %r11, %r10 # D.2193, ivtmp.61
addq %r11, %rcx # D.2193, ivtmp.63
cmpl %edi, %edx # n, j
jne .L5 #,
addq $8, %r12 #, ivtmp.67
addq $8, %rbx #, ivtmp.54
cmpq %r13, %r12 # D.2208, ivtmp.67
jne .L3 #,
.L6:
popq %rbx #
.cfi_def_cfa_offset 40
popq %rbp #
.cfi_def_cfa_offset 32
popq %r12 #
.cfi_def_cfa_offset 24
popq %r13 #
.cfi_def_cfa_offset 16
popq %r14 #
.cfi_def_cfa_offset 8
ret
.cfi_endproc
以下是ICC的输出:
# -- Begin _Z2mmiPdS_S_
# mark_begin;
.align 16,0x90
.globl _Z2mmiPdS_S_
_Z2mmiPdS_S_:
# parameter 1: %edi
# parameter 2: %rsi
# parameter 3: %rdx
# parameter 4: %rcx
..B1.1: # Preds ..B1.0
..___tag_value__Z2mmiPdS_S_.1: #8.3
pushq %r12 #8.3
..___tag_value__Z2mmiPdS_S_.3: #
pushq %r13 #8.3
..___tag_value__Z2mmiPdS_S_.5: #
pushq %r14 #8.3
..___tag_value__Z2mmiPdS_S_.7: #
pushq %r15 #8.3
..___tag_value__Z2mmiPdS_S_.9: #
pushq %rbx #8.3
..___tag_value__Z2mmiPdS_S_.11: #
pushq %rbp #8.3
..___tag_value__Z2mmiPdS_S_.13: #
subq $72, %rsp #8.3
..___tag_value__Z2mmiPdS_S_.15: #
movq %rsi, %r9 #
movslq %edi, %rax #
xorl %r10d, %r10d #11.9
testl %edi, %edi #11.25
jle ..B1.7 # Prob 10% #11.25
# LOE rax rdx rcx rbx rbp rsi r9 r12 r13 r14 r15 edi r10d
..B1.2: # Preds ..B1.1
movl %edi, %r11d #10.5
lea (,%rax,8), %r8 #
andl $-4, %r11d #10.5
movq %rax, %r14 #12.28
movslq %r11d, %r11 #10.5
movl %edi, %r12d #12.28
movq %rsi, 8(%rsp) #12.28
movq %r8, %rbp #12.28
movq %rdx, 32(%rsp) #12.28
movq %r9, %r13 #12.28
movq %rcx, (%rsp) #12.28
movl %r10d, %r15d #12.28
pxor %xmm0, %xmm0 #12.28
movq %r11, %rbx #12.28
# LOE rbx rbp r13 r14 r12d r15d
..B1.3: # Preds ..B1.5 ..B1.48 ..B1.45 ..B1.2
cmpl $12, %r12d #10.5
jle ..B1.38 # Prob 0% #10.5
# LOE rbx rbp r13 r14 r12d r15d
..B1.4: # Preds ..B1.3
movq %r13, %rdi #12.13
xorl %esi, %esi #12.13
movq %rbp, %rdx #12.13
call _intel_fast_memset #12.13
# LOE rbx rbp r13 r14 r12d r15d
..B1.5: # Preds ..B1.4
incl %r15d #11.9
lea (%r13,%r14,8), %r13 #11.9
cmpl %r12d, %r15d #11.9
jb ..B1.3 # Prob 82% #11.9
# LOE rbx rbp r13 r14 r12d r15d
..B1.6: # Preds ..B1.48 ..B1.45 ..B1.5 # Infreq
movl %r12d, %edi #
movq %r14, %rax #
movq 8(%rsp), %rsi #
testl %edi, %edi #11.25
movq 32(%rsp), %rdx #
movq (%rsp), %rcx #
# LOE rax rdx rcx rbx rbp rsi r12 r13 r14 r15 edi
..B1.7: # Preds ..B1.1 ..B1.6 # Infreq
movl $0, %r9d #11.9
movl $0, %r8d #
jle ..B1.33 # Prob 10% #11.25
# LOE rax rdx rcx rbx rbp rsi r8 r12 r13 r14 r15 edi r9d
..B1.8: # Preds ..B1.7 # Infreq
movq %rdx, 32(%rsp) #
# LOE rax rcx rsi r8 edi r9d
..B1.9: # Preds ..B1.31 ..B1.8 # Infreq
xorl %r12d, %r12d #
lea (%rsi,%r8,8), %r13 #14.17
movq %r13, %r15 #10.5
xorl %ebx, %ebx #13.13
andq $15, %r15 #10.5
xorl %r10d, %r10d #
movl %r15d, %r14d #10.5
lea (%rcx,%r8,8), %rbp #14.48
andl $7, %r14d #10.5
xorl %r11d, %r11d #
movl %r14d, 48(%rsp) #
xorl %edx, %edx #
movl %r15d, 56(%rsp) #
movq %r13, 40(%rsp) #
movq %r8, 16(%rsp) #
movl %r9d, 24(%rsp) #
movq %rsi, 8(%rsp) #
movq %rcx, (%rsp) #
movq 32(%rsp), %r14 #
# LOE rax rdx rbp r10 r12 r14 ebx edi r11d
..B1.10: # Preds ..B1.30 ..B1.9 # Infreq
cmpq $8, %rax #10.5
jl ..B1.34 # Prob 10% #10.5
# LOE rax rdx rbp r10 r12 r14 ebx edi r11d
..B1.11: # Preds ..B1.10 # Infreq
movl 56(%rsp), %r9d #10.5
testl %r9d, %r9d #10.5
je ..B1.14 # Prob 50% #10.5
# LOE rax rdx rbp r9 r10 r12 r14 ebx edi r11d
..B1.12: # Preds ..B1.11 # Infreq
cmpl $0, 48(%rsp) #10.5
jne ..B1.34 # Prob 10% #10.5
# LOE rax rdx rbp r10 r12 r14 ebx edi r11d
..B1.13: # Preds ..B1.12 # Infreq
movl $1, %r9d #10.5
# LOE rax rdx rbp r9 r10 r12 r14 ebx edi r11d
..B1.14: # Preds ..B1.13 ..B1.11 # Infreq
movl %r9d, %r13d #10.5
lea 8(%r13), %rcx #10.5
cmpq %rcx, %rax #10.5
jl ..B1.34 # Prob 10% #10.5
# LOE rax rdx rbp r9 r10 r12 r13 r14 ebx edi r11d
..B1.15: # Preds ..B1.14 # Infreq
movl %edi, %r15d #10.5
xorl %ecx, %ecx #10.5
subl %r9d, %r15d #10.5
movslq %r11d, %r8 #14.33
andl $7, %r15d #10.5
negl %r15d #10.5
addl %edi, %r15d #10.5
movslq %r15d, %r15 #10.5
testq %r13, %r13 #10.5
lea (%r14,%r8,8), %rsi #14.33
jbe ..B1.35 # Prob 0% #10.5
# LOE rax rdx rcx rbp rsi r8 r9 r10 r12 r13 r14 r15 ebx edi r11d
..B1.16: # Preds ..B1.15 # Infreq
movsd (%r10,%rbp), %xmm0 #14.48
movq 40(%rsp), %r14 #14.48
# LOE rax rdx rcx rbp rsi r8 r9 r10 r12 r13 r14 r15 ebx edi r11d xmm0
..B1.17: # Preds ..B1.17 ..B1.16 # Infreq
movsd (%rsi,%rcx,8), %xmm1 #14.33
mulsd %xmm0, %xmm1 #14.48
addsd (%r14,%rcx,8), %xmm1 #14.17
movsd %xmm1, (%r14,%rcx,8) #14.17
incq %rcx #10.5
cmpq %r13, %rcx #10.5
jb ..B1.17 # Prob 82% #10.5
# LOE rax rdx rcx rbp rsi r8 r9 r10 r12 r13 r14 r15 ebx edi r11d xmm0
..B1.18: # Preds ..B1.17 # Infreq
movq 32(%rsp), %r14 #
# LOE rax rdx rbp rsi r8 r9 r10 r12 r13 r14 r15 ebx edi r11d xmm0
..B1.19: # Preds ..B1.18 ..B1.35 # Infreq
addq %r9, %r8 #14.33
lea (%r14,%r8,8), %rcx #14.33
testq $15, %rcx #10.5
je ..B1.23 # Prob 60% #10.5
# LOE rax rdx rbp rsi r10 r12 r13 r14 r15 ebx edi r11d xmm0
..B1.20: # Preds ..B1.19 # Infreq
movq 40(%rsp), %rcx #14.48
unpcklpd %xmm0, %xmm0 #14.48
# LOE rax rdx rcx rbp rsi r10 r12 r13 r14 r15 ebx edi r11d xmm0
..B1.21: # Preds ..B1.21 ..B1.20 # Infreq
movsd (%rsi,%r13,8), %xmm1 #14.33
movsd 16(%rsi,%r13,8), %xmm2 #14.33
movsd 32(%rsi,%r13,8), %xmm3 #14.33
movsd 48(%rsi,%r13,8), %xmm4 #14.33
movhpd 8(%rsi,%r13,8), %xmm1 #14.33
movhpd 24(%rsi,%r13,8), %xmm2 #14.33
movhpd 40(%rsi,%r13,8), %xmm3 #14.33
movhpd 56(%rsi,%r13,8), %xmm4 #14.33
mulpd %xmm0, %xmm1 #14.48
mulpd %xmm0, %xmm2 #14.48
mulpd %xmm0, %xmm3 #14.48
mulpd %xmm0, %xmm4 #14.48
addpd (%rcx,%r13,8), %xmm1 #14.17
addpd 16(%rcx,%r13,8), %xmm2 #14.17
addpd 32(%rcx,%r13,8), %xmm3 #14.17
addpd 48(%rcx,%r13,8), %xmm4 #14.17
movaps %xmm1, (%rcx,%r13,8) #14.17
movaps %xmm2, 16(%rcx,%r13,8) #14.17
movaps %xmm3, 32(%rcx,%r13,8) #14.17
movaps %xmm4, 48(%rcx,%r13,8) #14.17
addq $8, %r13 #10.5
cmpq %r15, %r13 #10.5
jb ..B1.21 # Prob 82% #10.5
jmp ..B1.26 # Prob 100% #10.5
# LOE rax rdx rcx rbp rsi r10 r12 r13 r14 r15 ebx edi r11d xmm0
..B1.23: # Preds ..B1.19 # Infreq
movq 40(%rsp), %rcx #14.48
unpcklpd %xmm0, %xmm0 #14.48
.align 16,0x90
# LOE rax rdx rcx rbp rsi r10 r12 r13 r14 r15 ebx edi r11d xmm0
..B1.24: # Preds ..B1.24 ..B1.23 # Infreq
movaps (%rsi,%r13,8), %xmm1 #14.33
movaps 16(%rsi,%r13,8), %xmm2 #14.33
movaps 32(%rsi,%r13,8), %xmm3 #14.33
movaps 48(%rsi,%r13,8), %xmm4 #14.33
mulpd %xmm0, %xmm1 #14.48
mulpd %xmm0, %xmm2 #14.48
mulpd %xmm0, %xmm3 #14.48
mulpd %xmm0, %xmm4 #14.48
addpd (%rcx,%r13,8), %xmm1 #14.17
addpd 16(%rcx,%r13,8), %xmm2 #14.17
addpd 32(%rcx,%r13,8), %xmm3 #14.17
addpd 48(%rcx,%r13,8), %xmm4 #14.17
movaps %xmm1, (%rcx,%r13,8) #14.17
movaps %xmm2, 16(%rcx,%r13,8) #14.17
movaps %xmm3, 32(%rcx,%r13,8) #14.17
movaps %xmm4, 48(%rcx,%r13,8) #14.17
addq $8, %r13 #10.5
cmpq %r15, %r13 #10.5
jb ..B1.24 # Prob 82% #10.5
# LOE rax rdx rcx rbp rsi r10 r12 r13 r14 r15 ebx edi r11d xmm0
..B1.26: # Preds ..B1.24 ..B1.21 ..B1.34 # Infreq
cmpq %rax, %r15 #10.5
jae ..B1.30 # Prob 0% #10.5
# LOE rax rdx rbp r10 r12 r14 r15 ebx edi r11d
..B1.27: # Preds ..B1.26 # Infreq
movsd (%rbp,%r12,8), %xmm0 #14.48
lea (%r14,%rdx,8), %rcx #14.33
movq 40(%rsp), %rsi #14.48
# LOE rax rdx rcx rbp rsi r10 r12 r14 r15 ebx edi r11d xmm0
..B1.28: # Preds ..B1.28 ..B1.27 # Infreq
movsd (%rcx,%r15,8), %xmm1 #14.33
mulsd %xmm0, %xmm1 #14.48
addsd (%rsi,%r15,8), %xmm1 #14.17
movsd %xmm1, (%rsi,%r15,8) #14.17
incq %r15 #10.5
cmpq %rax, %r15 #10.5
jb ..B1.28 # Prob 82% #10.5
# LOE rax rdx rcx rbp rsi r10 r12 r14 r15 ebx edi r11d xmm0
..B1.30: # Preds ..B1.28 ..B1.26 # Infreq
incl %ebx #13.13
addq %rax, %rdx #13.13
addl %edi, %r11d #13.13
addq $8, %r10 #13.13
incq %r12 #13.13
cmpl %edi, %ebx #13.13
jb ..B1.10 # Prob 82% #13.13
# LOE rax rdx rbp r10 r12 r14 ebx edi r11d
..B1.31: # Preds ..B1.30 # Infreq
movl 24(%rsp), %r9d #
incl %r9d #11.9
movq 16(%rsp), %r8 #
addq %rax, %r8 #11.9
movq 8(%rsp), %rsi #
cmpl %edi, %r9d #11.9
movq (%rsp), %rcx #
jb ..B1.9 # Prob 82% #11.9
# LOE rax rcx rsi r8 edi r9d
..B1.33: # Preds ..B1.31 ..B1.7 # Infreq
addq $72, %rsp #18.1
..___tag_value__Z2mmiPdS_S_.16: #
popq %rbp #18.1
..___tag_value__Z2mmiPdS_S_.18: #
popq %rbx #18.1
..___tag_value__Z2mmiPdS_S_.20: #
popq %r15 #18.1
..___tag_value__Z2mmiPdS_S_.22: #
popq %r14 #18.1
..___tag_value__Z2mmiPdS_S_.24: #
popq %r13 #18.1
..___tag_value__Z2mmiPdS_S_.26: #
popq %r12 #18.1
..___tag_value__Z2mmiPdS_S_.28: #
ret #18.1
..___tag_value__Z2mmiPdS_S_.29: #
# LOE
..B1.34: # Preds ..B1.10 ..B1.14 ..B1.12 # Infreq
xorl %r15d, %r15d #10.5
jmp ..B1.26 # Prob 100% #10.5
# LOE rax rdx rbp r10 r12 r14 r15 ebx edi r11d
..B1.35: # Preds ..B1.15 # Infreq
movsd (%rbp,%r12,8), %xmm0 #14.48
jmp ..B1.19 # Prob 100% #14.48
# LOE rax rdx rbp rsi r8 r9 r10 r12 r13 r14 r15 ebx edi r11d xmm0
..B1.38: # Preds ..B1.3 # Infreq
cmpq $4, %r14 #10.5
jl ..B1.47 # Prob 10% #10.5
# LOE rbx rbp r13 r14 r12d r15d
..B1.39: # Preds ..B1.38 # Infreq
xorl %esi, %esi #10.5
movq %rbx, %rdx #10.5
movq %r13, %rcx #
xorl %eax, %eax #
pxor %xmm0, %xmm0 #
# LOE rax rdx rcx rbx rbp rsi r13 r14 r12d r15d xmm0
..B1.40: # Preds ..B1.40 ..B1.39 # Infreq
addq $4, %rsi #10.5
movq %rax, (%rcx) #12.13
movhpd %xmm0, 8(%rcx) #12.13
movq %rax, 16(%rcx) #12.13
movhpd %xmm0, 24(%rcx) #12.13
addq $32, %rcx #10.5
cmpq %rbx, %rsi #10.5
jb ..B1.40 # Prob 82% #10.5
# LOE rax rdx rcx rbx rbp rsi r13 r14 r12d r15d xmm0
..B1.42: # Preds ..B1.40 ..B1.47 # Infreq
cmpq %r14, %rdx #10.5
jae ..B1.48 # Prob 0% #10.5
# LOE rdx rbx rbp r13 r14 r12d r15d
..B1.43: # Preds ..B1.42 # Infreq
xorl %ecx, %ecx #
# LOE rdx rcx rbx rbp r13 r14 r12d r15d
..B1.44: # Preds ..B1.44 ..B1.43 # Infreq
movq %rcx, (%r13,%rdx,8) #12.13
incq %rdx #10.5
cmpq %r14, %rdx #10.5
jb ..B1.44 # Prob 82% #10.5
# LOE rdx rcx rbx rbp r13 r14 r12d r15d
..B1.45: # Preds ..B1.44 # Infreq
incl %r15d #11.9
lea (%r13,%r14,8), %r13 #11.9
cmpl %r12d, %r15d #11.9
jb ..B1.3 # Prob 82% #11.9
jmp ..B1.6 # Prob 100% #11.9
# LOE rbx rbp r13 r14 r12d r15d
..B1.47: # Preds ..B1.38 # Infreq
xorl %edx, %edx #10.5
jmp ..B1.42 # Prob 100% #10.5
# LOE rdx rbx rbp r13 r14 r12d r15d
..B1.48: # Preds ..B1.42 # Infreq
incl %r15d #11.9
lea (%r13,%r14,8), %r13 #11.9
cmpl %r12d, %r15d #11.9
jb ..B1.3 # Prob 82% #11.9
jmp ..B1.6 # Prob 100% #11.9
.align 16,0x90
..___tag_value__Z2mmiPdS_S_.36: #
# LOE rbx rbp r13 r14 r12d r15d
# mark_end;
.type _Z2mmiPdS_S_,@function
.size _Z2mmiPdS_S_,.-_Z2mmiPdS_S_
.data
# -- End _Z2mmiPdS_S_
编辑:在Olaf Dietsche的帮助下,看起来下面的代码使用GCC 4.8.2可以更快地运行,但仍然比英特尔慢一点(~30%)。主要区别在于初始化是提前完成的(这本身没有区别)并且循环排序已经互换(这对GCC来说是一个主要的区别)。
memset(c, 0, n * n);
for (j = 0; j < n; j++) {
for (k = 0; k < n; k++) {
for (i = 0; i < n; i++) {
c[i + n * j] += a[i + n * k] * b[k + n * j]; // Line 14
}
}
}
答案 0 :(得分:6)
您的代码似乎错误或不适合矢量化。
根据此博文Performance – GCC & auto-vectorization
修改代码时int i, j, k;
for (i = 0; i < n; i++) {
for (j = 0; j < n; j++) {
for (k = 0; k < n; k++) {
c[n * i + k] += a[n * i + j] * b[n * j + k]; // Line 14
}
}
}
并使用
进行编译gcc-4.8 -O3 -S a.c
它至少使用了一些SIMD指令
.L8:
movsd (%rcx), %xmm1
addl $1, %r8d
movsd (%rdx,%rsi), %xmm2
unpcklpd %xmm1, %xmm1
movhpd 8(%rdx,%rsi), %xmm2
movsd (%rax,%rsi), %xmm0
mulpd %xmm2, %xmm1
movhpd 8(%rax,%rsi), %xmm0
addpd %xmm1, %xmm0
movlpd %xmm0, (%rax,%rsi)
movhpd %xmm0, 8(%rax,%rsi)
addq $16, %rsi
cmpl %r8d, %ebx
ja .L8
cmpl %edi, %r15d
je .L9
虽然没有ICC那么多。
更新
添加-funroll-loops
会将生成的汇编代码大致放大到已发布的ICC程序集的长度。
答案 1 :(得分:2)
看起来英特尔编译器正在使用SIMD指令(mulpd
,addpd
,movaps
等) - 它能够执行多个操作(即a = b * c并且d = e * f)在一个时钟周期内,而GCC代码需要两个才能做同样的事情。我不确定是否可以在GCC中自动启用这些操作,但是你可以手写它们有一些工作。
似乎标志-msse,-msse2,-msse3到GCC会导致它尝试对自己进行一些SIMD优化。
答案 2 :(得分:1)
我不确定ICC在这种情况下是否真的产生了更快的代码,因为我没有运行任何实际的基准测试。但是你可以告诉GCC用-funroll-loops
展开循环。输出会更长,会包含很多xmm
并且看起来更快。
答案 3 :(得分:1)
icc和gcc都不一定能优化展开的程度。要匹配它们,您可以使用例如 gcc -funroll-loops --param max-unroll-times = 4 icc -unroll4 因为gcc倾向于为过去8年的CPU(如果允许这样做)展开超过最佳值,而icc更保守。 上面还有一点是icc -O3鼓励编译器优化循环嵌套,甚至可以使用特殊的-opt-matmul工具。 原始形式意味着一个点积减少内循环,为了优化,gcc可能需要-ffast-math和更现代的-march =选择。如果它不能通过切换循环嵌套来避免它,那么icc对于点击产品(分成多个总和)更加积极。