yzh119 commented on pull request #10207:
URL: https://github.com/apache/tvm/pull/10207#issuecomment-1034535980
Sure, below is the measured time of the kernel:
```python
@T.prim_func
def reduce(a: T.handle, b: T.handle, n: T.int32) -> None:
A = T.match_buffer(a, [1048576, n])
B = T.match_buffer(b, [1048576])
for i, j in T.grid(1048576, n):
with T.block("reduce"):
vi, vj = T.axis.remap("SR", [i, j])
with T.init():
B[vi] = 0.
B[vi] = B[vi] + A[vi, vj]
```
and change n between 2,4,8,16,32.
| n | 2 | 4 | 8 | 16
| 32 |
|----------|--------------------|-------------------|--------------------|--------------------|--------------------|
| shuffle-down time(ms) | 1.840511957804362 | 1.877586046854655 |
2.1820863087972007 | 2.2471348444620767 | 2.1001497904459634 |
| shared mem time(ms) | 1.7892122268676758 | 1.922925313313802 |
2.053538958231608 | 2.0630757013956704 | 2.1170775095621743 |
there are some variance across multiple runs.
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