-
Notifications
You must be signed in to change notification settings - Fork 1.9k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[Enhancement] Optimize code in arm #55072
Merged
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Signed-off-by: before-Sunrise <[email protected]>
Signed-off-by: before-Sunrise <[email protected]>
Signed-off-by: before-Sunrise <[email protected]>
stdpain
previously approved these changes
Jan 15, 2025
kangkaisen
previously approved these changes
Jan 22, 2025
4741726
Signed-off-by: before-Sunrise <[email protected]>
4741726
to
5c2976b
Compare
Signed-off-by: before-Sunrise <[email protected]>
Signed-off-by: before-Sunrise <[email protected]>
[Java-Extensions Incremental Coverage Report]✅ pass : 0 / 0 (0%) |
[FE Incremental Coverage Report]✅ pass : 0 / 0 (0%) |
[BE Incremental Coverage Report]✅ pass : 35 / 35 (100.00%) file detail
|
satanson
approved these changes
Jan 27, 2025
stdpain
approved these changes
Jan 27, 2025
alvin-celerdata
approved these changes
Jan 27, 2025
@Mergifyio backport branch-3.4 |
@Mergifyio backport branch-3.3 |
✅ Backports have been created
|
✅ Backports have been created
|
mergify bot
pushed a commit
that referenced
this pull request
Jan 27, 2025
## Why I'm doing: arm is slower than x86 in some cases ## What I'm doing: 1. vectorize rf's insert_hash using Neon intrinsics 2. streamvbyte's cmakelist is wrong, which cause performance downgrade in arm because vectorization cannot work properly 3. arm's int128_mul_overflow is super slow becase of divide operation, __builtin_mul_overflow(int128_t a, int128_t b, int128_t* c) is fast enough when compile with gcc. But gcc's __builtin_mul_overflow is at least 5 times faster then clang in arm, we already reported it to the community: llvm/llvm-project#123262. So we still use gcc as default compiler and use __builtin_mul_overflow to replace original int128_mul_overflow implementation 4. arm's cast int128 to double is super slow in arm with gcc because the bad implementation of __floattidf, clang runtime-rt's implementation is 20 times faster then gcc, so I used clang compiler-rt's implementation to replace gcc's version after this pr, arm is faster then gcc in the most of cases. ``` | Query | arm-opt | x86 | |---------|--------|--------| | QUERY01 | 36 | 61 | | QUERY02 | 39 | 62 | | QUERY14 | 1510 | 1514 | | QUERY15 | 1407 | 1496 | | QUERY17 | 21 | 88 | | QUERY20 | 151 | 279 | | QUERY21 | 1526 | 1529 | | QUERY24 | 1399 | 1504 | | QUERY26 | 32 | 122 | | QUERY27 | 1493 | 1519 | | QUERY90 | 3399 | 4030 | | QUERY97 | 3859 | 4776 | | QUERY98 | 2763 | 3208 | | QUERY99 | 868 | 1259 | ``` Signed-off-by: before-Sunrise <[email protected]> (cherry picked from commit e88bb85)
18 tasks
mergify bot
pushed a commit
that referenced
this pull request
Jan 27, 2025
## Why I'm doing: arm is slower than x86 in some cases ## What I'm doing: 1. vectorize rf's insert_hash using Neon intrinsics 2. streamvbyte's cmakelist is wrong, which cause performance downgrade in arm because vectorization cannot work properly 3. arm's int128_mul_overflow is super slow becase of divide operation, __builtin_mul_overflow(int128_t a, int128_t b, int128_t* c) is fast enough when compile with gcc. But gcc's __builtin_mul_overflow is at least 5 times faster then clang in arm, we already reported it to the community: llvm/llvm-project#123262. So we still use gcc as default compiler and use __builtin_mul_overflow to replace original int128_mul_overflow implementation 4. arm's cast int128 to double is super slow in arm with gcc because the bad implementation of __floattidf, clang runtime-rt's implementation is 20 times faster then gcc, so I used clang compiler-rt's implementation to replace gcc's version after this pr, arm is faster then gcc in the most of cases. ``` | Query | arm-opt | x86 | |---------|--------|--------| | QUERY01 | 36 | 61 | | QUERY02 | 39 | 62 | | QUERY14 | 1510 | 1514 | | QUERY15 | 1407 | 1496 | | QUERY17 | 21 | 88 | | QUERY20 | 151 | 279 | | QUERY21 | 1526 | 1529 | | QUERY24 | 1399 | 1504 | | QUERY26 | 32 | 122 | | QUERY27 | 1493 | 1519 | | QUERY90 | 3399 | 4030 | | QUERY97 | 3859 | 4776 | | QUERY98 | 2763 | 3208 | | QUERY99 | 868 | 1259 | ``` Signed-off-by: before-Sunrise <[email protected]> (cherry picked from commit e88bb85)
18 tasks
24 tasks
before-Sunrise
added a commit
to before-Sunrise/starrocks
that referenced
this pull request
Feb 6, 2025
## Why I'm doing: arm is slower than x86 in some cases ## What I'm doing: 1. vectorize rf's insert_hash using Neon intrinsics 2. streamvbyte's cmakelist is wrong, which cause performance downgrade in arm because vectorization cannot work properly 3. arm's int128_mul_overflow is super slow becase of divide operation, __builtin_mul_overflow(int128_t a, int128_t b, int128_t* c) is fast enough when compile with gcc. But gcc's __builtin_mul_overflow is at least 5 times faster then clang in arm, we already reported it to the community: llvm/llvm-project#123262. So we still use gcc as default compiler and use __builtin_mul_overflow to replace original int128_mul_overflow implementation 4. arm's cast int128 to double is super slow in arm with gcc because the bad implementation of __floattidf, clang runtime-rt's implementation is 20 times faster then gcc, so I used clang compiler-rt's implementation to replace gcc's version after this pr, arm is faster then gcc in the most of cases. ``` | Query | arm-opt | x86 | |---------|--------|--------| | QUERY01 | 36 | 61 | | QUERY02 | 39 | 62 | | QUERY14 | 1510 | 1514 | | QUERY15 | 1407 | 1496 | | QUERY17 | 21 | 88 | | QUERY20 | 151 | 279 | | QUERY21 | 1526 | 1529 | | QUERY24 | 1399 | 1504 | | QUERY26 | 32 | 122 | | QUERY27 | 1493 | 1519 | | QUERY90 | 3399 | 4030 | | QUERY97 | 3859 | 4776 | | QUERY98 | 2763 | 3208 | | QUERY99 | 868 | 1259 | ``` Signed-off-by: before-Sunrise <[email protected]>
24 tasks
before-Sunrise
added a commit
to before-Sunrise/starrocks
that referenced
this pull request
Feb 6, 2025
## Why I'm doing: arm is slower than x86 in some cases ## What I'm doing: 1. vectorize rf's insert_hash using Neon intrinsics 2. streamvbyte's cmakelist is wrong, which cause performance downgrade in arm because vectorization cannot work properly 3. arm's int128_mul_overflow is super slow becase of divide operation, __builtin_mul_overflow(int128_t a, int128_t b, int128_t* c) is fast enough when compile with gcc. But gcc's __builtin_mul_overflow is at least 5 times faster then clang in arm, we already reported it to the community: llvm/llvm-project#123262. So we still use gcc as default compiler and use __builtin_mul_overflow to replace original int128_mul_overflow implementation 4. arm's cast int128 to double is super slow in arm with gcc because the bad implementation of __floattidf, clang runtime-rt's implementation is 20 times faster then gcc, so I used clang compiler-rt's implementation to replace gcc's version after this pr, arm is faster then gcc in the most of cases. ``` | Query | arm-opt | x86 | |---------|--------|--------| | QUERY01 | 36 | 61 | | QUERY02 | 39 | 62 | | QUERY14 | 1510 | 1514 | | QUERY15 | 1407 | 1496 | | QUERY17 | 21 | 88 | | QUERY20 | 151 | 279 | | QUERY21 | 1526 | 1529 | | QUERY24 | 1399 | 1504 | | QUERY26 | 32 | 122 | | QUERY27 | 1493 | 1519 | | QUERY90 | 3399 | 4030 | | QUERY97 | 3859 | 4776 | | QUERY98 | 2763 | 3208 | | QUERY99 | 868 | 1259 | ``` Signed-off-by: before-Sunrise <[email protected]>
24 tasks
silverbullet233
pushed a commit
that referenced
this pull request
Feb 6, 2025
Signed-off-by: before-Sunrise <[email protected]>
kangkaisen
pushed a commit
that referenced
this pull request
Feb 6, 2025
Signed-off-by: before-Sunrise <[email protected]>
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Why I'm doing:
arm is slower than x86 in some cases
What I'm doing:
after this pr, arm is faster then gcc in the most of cases.
What type of PR is this:
Does this PR entail a change in behavior?
If yes, please specify the type of change:
Checklist:
Bugfix cherry-pick branch check: