cuda Assembly:PTX & SASS
两种汇编¶
- parallel thread execution (PTX) 内联汇编有没有关系
- PTX是编程人员可以操作的最底层汇编,原因是SASS代码的实现会经常根据GPU架构而经常变换
- https://docs.nvidia.com/cuda//pdf/Inline_PTX_Assembly.pdf
- ISA指令手册 https://docs.nvidia.com/cuda/parallel-thread-execution/index.html#instruction-set
- SASS
- Streaming ASSembly(Shader Assembly?) 没有官方的证明
- 没有官方详细的手册,有基本介绍:https://docs.nvidia.com/cuda/cuda-binary-utilities/index.html#ampere
- https://zhuanlan.zhihu.com/p/161624982
- 从可执行程序反汇编SASS
- https://www.findhao.net/easycoding/2339.html
SASS 指令基本信息¶
对于Ampere架构
指令方向
各种寄存器说明
* RX
for registers
* URX
for uniform registers
* SRX
for special system-controlled registers
* PX
for predicate registers
* c[X][Y]
for constant memory
SASS 举例说明1¶
SASS的难点在于指令的后缀。由于手册确实,需要结合PTX的后缀查看
/*0028*/ IMAD R6.CC, R3, R5, c[0x0][0x20];
/*0030*/ IMAD.HI.X R7, R3, R5, c[0x0][0x24];
/*0040*/ LD.E R2, [R6]; //load
line1¶
Extended-precision integer multiply-add: multiply R3 with R5, sum with constant in bank 0, offset 0x20, store in R6 with carry-out.c[BANK][ADDR] is a constant memory。
.CC
means “set the flags”
line2¶
Integer multiply-add with extract: multiply R3 with R5, extract upper half, sum that upper half with constant in bank 0, offset 0x24, store in R7 with carry-in.line3¶
LD.E is a load from global memory using 64-bit address in R6,R7(表面上是R6,其实是R6 与 R7 组成的地址对)summary¶
R6 = R3*R5 + c[0x0][0x20], saving carry to CC
R7 = (R3*R5 + c[0x0][0x24])>>32 + CC
R2 = *(R7<<32 + R6)
first two commands multiply two 32-bit values (R3 and R5) and add 64-bit value c[0x0][0x24]<<32+c[0x0][0x20],
leaving 64-bit address result in the R6,R7 pair
对应的代码是
SASS Opt Code分析2¶
- LDG - Load form Global Memory
- ULDC - Load from Constant Memory into Uniform register
- USHF - Uniform Funnel Shift (猜测是特殊的加速shift)
- STS - Store within Local or Shared Window
流水STS¶
观察 偏移 * 4 * 2060(delta=2056) * 4116(delta=2056) * 8228(delta=2 * 2056) * 6172(delta=-1 * 2056) * 10284(delta=2 * 2056) * 12340(delta=2056)
可见汇编就是中间写反了,导致不连续,不然能隐藏更多延迟
STS缓存寄存器来源¶
那么这些寄存器是怎么来的呢?感觉就是写反了
IMAD.WIDE.U32 R16, R16, R19, c[0x0][0x168]
LDG.E R27, [R16.64]
IMAD.WIDE R30, R19, c[0x0][0x164], R16
LDG.E R31, [R30.64]
IMAD.WIDE R32, R19, c[0x0][0x164], R30
LDG.E R39, [R32.64]
# important R41 R37
IMAD.WIDE R34, R19, c[0x0][0x164], R32
IMAD.WIDE R40, R19, c[0x0][0x164], R34
LDG.E R41, [R40.64]
LDG.E R37, [R34.64]
Fix¶
原因是前面是手动展开的,假如等待编译器自动展开for循环就不会有这个问题
需要进一步的研究学习¶
暂无
遇到的问题¶
暂无
开题缘由、总结、反思、吐槽~~¶
参考文献¶
https://forums.developer.nvidia.com/t/solved-sass-code-analysis/41167/2
https://stackoverflow.com/questions/35055014/how-to-understand-the-result-of-sass-analysis-in-cuda-gpu