Дмитрий Изволов
51b8c66b08
[libc++] Extend the scope of radix sorting inside std::stable_sort to floating-point types ( #129452 )
...
These changes speed up `std::stable_sort` in the case of sorting
floating-point types.
This applies only to IEEE 754 floats.
The speedup is similar to that achieved for integers in PR #104683 (see
benchmarks below).
Why does this worth doing?
Previously, `std::stable_sort` had almost no chance of beating
`std::sort`.
Now there are cases when `std::stable_sort` is preferrable, and the
difference is significant.
```
---------------------------------------------------------------------------
Benchmark | std::stable_sort | std::sort | std::stable_sort
| without radix_sort | | with radix_sort
---------------------------------------------------------------------------
float_Random_1 | 1.62 ns | 2.15 ns | 1.61 ns
float_Random_4 | 18.0 ns | 2.71 ns | 16.3 ns
float_Random_16 | 118 ns | 113 ns | 112 ns
float_Random_64 | 751 ns | 647 ns | 730 ns
float_Random_256 | 4715 ns | 2937 ns | 4669 ns
float_Random_1024 | 25713 ns | 13172 ns | 5959 ns <--
float_Random_4096 | 131307 ns | 56870 ns | 19294 ns <--
float_Random_16384 | 624996 ns | 242953 ns | 64264 ns <--
float_Random_65536 | 2895661 ns | 1027279 ns | 288553 ns <--
float_Random_262144 | 13285372 ns | 4342593 ns | 3022377 ns <--
float_Random_1048576 | 60595871 ns | 19087591 ns | 18690457 ns <--
float_Random_2097152 | 131336117 ns | 38800396 ns | 52325016 ns
float_Random_4194304 | 270043042 ns | 79978019 ns | 102907726 ns
double_Random_1 | 1.60 ns | 2.15 ns | 1.61 ns
double_Random_4 | 15.2 ns | 2.70 ns | 16.9 ns
double_Random_16 | 104 ns | 112 ns | 119 ns
double_Random_64 | 712 ns | 614 ns | 755 ns
double_Random_256 | 4496 ns | 2966 ns | 4820 ns
double_Random_1024 | 24722 ns | 12679 ns | 6189 ns <--
double_Random_4096 | 126075 ns | 54484 ns | 20999 ns <--
double_Random_16384 | 613782 ns | 232557 ns | 110276 ns <--
double_Random_65536 | 2894972 ns | 988531 ns | 774302 ns <--
double_Random_262144 | 13460273 ns | 4278059 ns | 5115123 ns
double_Random_1048576 | 61119996 ns | 18408462 ns | 27166574 ns
double_Random_2097152 | 132511525 ns | 37986158 ns | 54423869 ns
double_Random_4194304 | 272949862 ns | 77912616 ns | 147670834 ns
```
Comparison for only `std::stable_sort`:
```
Benchmark Time Time Old Time New
--------------------------------------------------------------------------------------------------
BM_StableSort_float_Random_1024 -0.7997 25438 5096
BM_StableSort_float_Random_4096 -0.8731 128157 16260
BM_StableSort_float_Random_16384 -0.9024 621271 60623
BM_StableSort_float_Random_65536 -0.9081 2922413 268619
BM_StableSort_float_Random_262144 -0.7766 13386345 2990408
BM_StableSort_float_Random_1048576 -0.6954 60673010 18481751
BM_StableSort_float_Random_2097152 -0.6026 130977358 52052182
BM_StableSort_float_Random_4194304 -0.6252 271556583 101770500
BM_StableSort_float_Ascending_1024 -0.6430 6711 2396
BM_StableSort_float_Ascending_4096 -0.7979 38460 7773
BM_StableSort_float_Ascending_16384 -0.8471 191069 29222
BM_StableSort_float_Ascending_65536 -0.8683 882321 116194
BM_StableSort_float_Ascending_262144 -0.8346 3868552 639937
BM_StableSort_float_Ascending_1048576 -0.7460 16521233 4195953
BM_StableSort_float_Ascending_2097152 -0.5439 21757532 9922776
BM_StableSort_float_Ascending_4194304 -0.7525 67847496 16791582
BM_StableSort_float_Descending_1024 -0.6359 15038 5475
BM_StableSort_float_Descending_4096 -0.7090 62810 18278
BM_StableSort_float_Descending_16384 -0.7763 311844 69750
BM_StableSort_float_Descending_65536 -0.7228 1270513 352202
BM_StableSort_float_Descending_262144 -0.6785 5484173 1763045
BM_StableSort_float_Descending_1048576 -0.5084 20223149 9941852
BM_StableSort_float_Descending_2097152 -0.7646 60523254 14247014
BM_StableSort_float_Descending_4194304 -0.5638 95706839 41748858
BM_StableSort_float_SingleElement_1024 +0.3715 1732 2375
BM_StableSort_float_SingleElement_4096 -0.1685 9357 7781
BM_StableSort_float_SingleElement_16384 -0.3793 47307 29362
BM_StableSort_float_SingleElement_65536 -0.4925 227666 115536
BM_StableSort_float_SingleElement_262144 -0.4271 1075853 616387
BM_StableSort_float_SingleElement_1048576 -0.3736 5097599 3193279
BM_StableSort_float_SingleElement_2097152 -0.2470 9854161 7420158
BM_StableSort_float_SingleElement_4194304 -0.3384 22175964 14670720
BM_StableSort_float_PipeOrgan_1024 -0.4885 10664 5455
BM_StableSort_float_PipeOrgan_4096 -0.6340 50095 18337
BM_StableSort_float_PipeOrgan_16384 -0.7078 238700 69739
BM_StableSort_float_PipeOrgan_65536 -0.6740 1102419 359378
BM_StableSort_float_PipeOrgan_262144 -0.7460 4698739 1193511
BM_StableSort_float_PipeOrgan_1048576 -0.5657 18493972 8032392
BM_StableSort_float_PipeOrgan_2097152 -0.7116 41089206 11850349
BM_StableSort_float_PipeOrgan_4194304 -0.6650 83445011 27955737
BM_StableSort_float_QuickSortAdversary_1024 -0.6863 17402 5460
BM_StableSort_float_QuickSortAdversary_4096 -0.7715 79864 18247
BM_StableSort_float_QuickSortAdversary_16384 -0.7800 317480 69839
BM_StableSort_float_QuickSortAdversary_65536 -0.7400 1357601 352967
BM_StableSort_float_QuickSortAdversary_262144 -0.6450 5662094 2009769
BM_StableSort_float_QuickSortAdversary_1048576 -0.5092 21173627 10392107
BM_StableSort_float_QuickSortAdversary_2097152 -0.7333 61748178 16469993
BM_StableSort_float_QuickSortAdversary_4194304 -0.5607 98459863 43250182
BM_StableSort_double_Random_1024 -0.7657 24769 5802
BM_StableSort_double_Random_4096 -0.8441 126449 19717
BM_StableSort_double_Random_16384 -0.8269 614910 106447
BM_StableSort_double_Random_65536 -0.7413 2905000 751427
BM_StableSort_double_Random_262144 -0.6287 13449514 4994348
BM_StableSort_double_Random_1048576 -0.5635 60863246 26568349
BM_StableSort_double_Random_2097152 -0.5959 130293892 52654532
BM_StableSort_double_Random_4194304 -0.4772 272616445 142526267
BM_StableSort_double_Ascending_1024 -0.4870 6757 3466
BM_StableSort_double_Ascending_4096 -0.7360 37592 9923
BM_StableSort_double_Ascending_16384 -0.7971 183967 37324
BM_StableSort_double_Ascending_65536 -0.7465 897116 227398
BM_StableSort_double_Ascending_262144 -0.6764 4020980 1301033
BM_StableSort_double_Ascending_1048576 -0.6407 16421799 5900751
BM_StableSort_double_Ascending_2097152 -0.6380 29347139 10622419
BM_StableSort_double_Ascending_4194304 -0.5934 70439925 28644185
BM_StableSort_double_Descending_1024 -0.5988 15216 6105
BM_StableSort_double_Descending_4096 -0.6857 65069 20449
BM_StableSort_double_Descending_16384 -0.6922 329321 101381
BM_StableSort_double_Descending_65536 -0.7038 1367970 405242
BM_StableSort_double_Descending_262144 -0.6472 5361644 1891429
BM_StableSort_double_Descending_1048576 -0.6656 22031404 7366459
BM_StableSort_double_Descending_2097152 -0.7593 68922467 16591242
BM_StableSort_double_Descending_4194304 -0.6392 96283643 34743223
BM_StableSort_double_SingleElement_1024 +0.9128 1895 3625
BM_StableSort_double_SingleElement_4096 +0.1475 10013 11490
BM_StableSort_double_SingleElement_16384 -0.1901 52382 42424
BM_StableSort_double_SingleElement_65536 -0.2096 254698 201313
BM_StableSort_double_SingleElement_262144 -0.1833 1248478 1019648
BM_StableSort_double_SingleElement_1048576 -0.1741 5703397 4710603
BM_StableSort_double_SingleElement_2097152 -0.1751 10922197 9009835
BM_StableSort_double_SingleElement_4194304 -0.1538 26571923 22485137
BM_StableSort_double_PipeOrgan_1024 -0.4406 10752 6014
BM_StableSort_double_PipeOrgan_4096 -0.5917 49456 20195
BM_StableSort_double_PipeOrgan_16384 -0.6258 270515 101221
BM_StableSort_double_PipeOrgan_65536 -0.7098 1159462 336457
BM_StableSort_double_PipeOrgan_262144 -0.6591 4735711 1614433
BM_StableSort_double_PipeOrgan_1048576 -0.6620 19353110 6541172
BM_StableSort_double_PipeOrgan_2097152 -0.7288 49131812 13323391
BM_StableSort_double_PipeOrgan_4194304 -0.5988 81958974 32878171
BM_StableSort_double_QuickSortAdversary_1024 -0.6516 17948 6254
BM_StableSort_double_QuickSortAdversary_4096 -0.7527 82359 20363
BM_StableSort_double_QuickSortAdversary_16384 -0.7009 340410 101811
BM_StableSort_double_QuickSortAdversary_65536 -0.6854 1487480 467928
BM_StableSort_double_QuickSortAdversary_262144 -0.6386 5648460 2041377
BM_StableSort_double_QuickSortAdversary_1048576 -0.6127 22859142 8852587
BM_StableSort_double_QuickSortAdversary_2097152 -0.7161 68693975 19499381
BM_StableSort_double_QuickSortAdversary_4194304 -0.5909 95532179 39077491
OVERALL_GEOMEAN -0.6472 0 0
```
2025-04-16 17:34:11 +08:00
A. Jiang
cfa322fa9a
[libc++][NFC] Reuse __bit_log2 for sort ( #135303 )
...
The `__log2i` function template in `<algorithm/sort.h>` is basically
equivalent to `__bit_log2` in `<__bit/bit_log2.h>`. It seems better to
avoid duplication.
2025-04-13 09:45:18 +08:00
James E T Smith
475cbf0ad6
[libc++] Implement ranges::iota ( #68494 )
...
# Overview
As a disclaimer, this is my first PR to LLVM and while I've tried to
ensure I've followed the LLVM and libc++ contributing guidelines,
there's probably a good chance I missed something. If I have, just let
me know and I'll try to correct it as soon as I can.
This PR implements `std::ranges::iota` and
`std::ranges::out_value_result` outlined in
[P2440r1](https://www.open-std.org/jtc1/sc22/wg21/docs/papers/2021/p2440r1.html ).
As outlined in the paper above, I've:
- Implemented `out_value_result` and added to `<algorithm>`
- Added `out_value_result`, `iota_result`, and two overloads of `iota`
to `std::ranges` in `<numeric>`
- Updated the version macro `__cpp_lib_ranges_iota` in `<version>`
I've also added tests for `ranges::iota` and `ranges::out_value_result`.
Lastly, I added those structs to the appropriate module files.
Partially implements #105184
EDIT: Forgot to mention in the original post, thanks to @hawkinsw for
taking a look at a preliminary version of this PR!
# TODOs
- [x] Updating the range [status
doc](https://github.com/jamesETsmith/llvm-project/blob/main/libcxx/docs/Status/RangesMajorFeatures.csv )
- [x] Ensure all comments from https://reviews.llvm.org/D121436 are
addressed here
- [X] EDIT (I'll do this in a separate PR). ~~I'm open to implementing
the rest of P2440r1 (`ranges::shift_left` and `ranges::shift_right`) if
that's ok, I just wanted to get feedback on `ranges::iota` first~~
- [x] I've been having trouble building the modules locally and want to
make sure that's working properly
Closes : #134060
2025-04-05 13:46:11 +02:00
Peng Liu
8fdfe3f2a7
[libc++] Refactor ranges::{min, max, min_element, max_element} to use std::__min_element ( #132418 )
...
Previously, ranges::min_element delegated to ranges::__min_element_impl, which
duplicated the definition of std::__min_element. This patch updates
ranges::min_element to directly call std::__min_element, which allows
removing the redundant code in ranges::__min_element_impl.
Upon removal of ranges::__min_element_impl, the other ranges algorithms
ranges::{min,max,max_element}, which previously delegated to ranges::__min_element_impl,
have been updated to call std::__min_element instead.
This refactoring unifies the implementation across these algorithms,
ensuring that future optimizations or maintenance work only need to be
applied in one place.
2025-03-27 09:05:37 -04:00
Louis Dionne
b0668d859b
[libc++] Make sure that __desugars_to isn't tripped up by reference_wrapper, const and ref qualifiers ( #132092 )
...
Previously, const and ref qualification on an operation would cause
__desugars_to to report false, which would lead to unnecessary
pessimizations. The same holds for reference_wrapper.
In practice, const and ref qualifications on the operation itself are
not relevant to determining whether an operation desugars to something
else or not, so can be ignored.
We are not stripping volatile qualifiers from operations in this patch
because we feel that this requires additional discussion.
Fixes #129312
2025-03-25 14:29:06 -04:00
Louis Dionne
aa80388cf9
[libc++] Ensure that we vectorize algorithms on all Clang-based compilers ( #132090 )
...
Otherwise, we wouldn't vectorize on compilers like AppleClang when in
reality we know perfectly well how to do it.
2025-03-24 13:22:40 -04:00
Nikolas Klauser
fb44f00641
[libc++] Add [[gnu::nodebug]] on type traits ( #128502 )
2025-03-23 21:01:25 +01:00
A. Jiang
053a714add
[libc++] Implement part of P2562R1: constexpr ranges::inplace_merge ( #131947 )
...
Drive-by changes:
- Consistently mark `std::__inplace_merge::__inplace_merge_impl`
`_LIBCPP_CONSTEXPR_SINCE_CXX26`.
- This function template is only called by other functions that becomes
constexpr since C++26, and it itself calls `std::__inplace_merge` that
is constexpr since C++26.
- Unblock related test coverage in constant evaluation for
`stable_partition`, `ranges::stable_sort`, `std::stable_sort`,
`std::stable_partition`, and `std::inplace_merge`.
2025-03-20 01:59:32 +08:00
Peng Liu
029cb8aff1
[libc++] Fix copy_backward for vector<bool> with small storage types ( #131560 )
...
This patch fixes an issue in libc++ where `std::copy_backward` and
`ranges::copy_backward` incorrectly copy `std::vector<bool>` with small
storage types (e.g., `uint8_t`, `uint16_t`). The problem arises from
flawed bit mask computations involving integral promotions and sign-bit
extension, leading to unintended zeroing of bits. This patch corrects
the bitwise operations to ensure correct bit-level copying.
Fixes #131718 .
2025-03-19 11:58:02 -04:00
Peng Liu
a5b3d3a03f
[libc++] Fix {std, ranges}::copy for vector<bool> with small storage types ( #131545 )
...
The current implementation of `{std, ranges}::copy` fails to copy
`vector<bool>` correctly when the underlying storage type
(`__storage_type`) is smaller than `int`, such as `unsigned char`,
`unsigned short`, `uint8_t` and `uint16_t`. The root cause is that the
unsigned small storage type undergoes integer promotion to (signed)
`int`, which is then left and right shifted, leading to UB (before
C++20) and sign-bit extension (since C++20) respectively. As a result,
the underlying bit mask evaluations become incorrect, causing erroneous
copying behavior.
This patch resolves the issue by correcting the internal bitwise
operations, ensuring that `{std, ranges}::copy` operates correctly for
`vector<bool>` with any custom (unsigned) storage types.
Fixes #131692 .
2025-03-19 11:55:51 -04:00
Peng Liu
c5195ae2d0
[libc++] Fix {std, ranges}::equal for vector<bool> with small storage types ( #130394 )
...
The current implementation of `{std, ranges}::equal` fails to correctly
compare `vector<bool>`s when the underlying storage type is smaller than
`int` (e.g., `unsigned char`, `unsigned short`, `uint8_t` and
`uint16_t`). See [demo](https://godbolt.org/z/j4s87s6b3 )). The problem
arises due to integral promotions on the intermediate bitwise
operations, leading to incorrect final equality comparison results. This
patch fixes the issue by ensuring that `{std, ranges}::equal` operate
properly for both aligned and unaligned bits.
Fixes #126369 .
2025-03-19 11:51:21 -04:00
Peng Liu
e53bea5182
[libc++] Fix ambiguous call in {ranges, std}::count ( #122529 )
...
This PR fixes an ambiguous call encountered while using the
`std::ranges::count` and `std::count` algorithms with `vector<bool>`
with small `size_type`s.
The ambiguity arises from integral promotions during the internal
bitwise arithmetic of the `count` algorithms for small integral types.
This results in multiple viable candidates:
`__libcpp_popcount(unsigned)`,` __libcpp_popcount(unsigned long)`, and
`__libcpp_popcount(unsigned long long)`, leading to an ambiguous call
error. To resolve this ambiguity, we introduce a dispatcher function,
`__popcount`, which directs calls to the appropriate overloads of
`__libcpp_popcount`. This closes #122528 .
2025-03-19 11:36:29 -04:00
A. Jiang
854a4f2bbb
[libc++] Implement part of P2562R1: constexpr std::inplace_merge ( #129008 )
...
Drive-by:
- Adds `constexpr_random.h` for pseudo-randomizing or shuffling in tests
for constant evaluation.
2025-03-19 07:42:23 +08:00
Peng Liu
3bd71cbec7
[libc++] Fix ambiguous call in {ranges, std}::find ( #122641 )
...
This PR fixes an ambiguous call encountered when using the `std::ranges::find` or `std::find`
algorithms with `vector<bool>` with small `allocator_traits::size_type`s, an issue reported
in #122528 . The ambiguity arises from integral promotions during the internal bitwise
arithmetic of the `find` algorithms when applied to `vector<bool>` with small integral
`size_type`s. This leads to multiple viable candidates for small integral types:
__libcpp_ctz(unsigned), __libcpp_ctz(unsigned long), and __libcpp_ctz(unsigned long long),
none of which represent a single best viable match, resulting in an ambiguous call error.
To resolve this, we propose invoking an internal function __countr_zero as a dispatcher
that directs the call to the appropriate overload of __libcpp_ctz. Necessary amendments
have also been made to __countr_zero.
2025-03-13 14:15:03 -04:00
Peng Liu
4baf1c03fa
[libc++] Optimize ranges::rotate for vector<bool>::iterator ( #121168 )
...
This PR optimizes the performance of `std::ranges::rotate` for
`vector<bool>::iterator`. The optimization yields a performance
improvement of up to 2096x.
Closes #64038 .
2025-03-13 14:07:23 -04:00
A. Jiang
ba9aeedf8e
[libc++] Implement part of P2562R1: constexpr ranges::stable_sort ( #128860 )
...
Drive-by: Enables test coverage for `ranges::stable_sort` with proxy
iterators, and changes "constexpr in" to "constexpr since" in comments
in `<algorithm>`.
2025-03-07 01:27:48 +08:00
A. Jiang
c28c508962
[libc++] Implement part of P2562R1: constexpr ranges::stable_partition ( #129839 )
2025-03-06 09:23:55 +08:00
Peng Liu
a12744ff05
[libc++] Optimize ranges::swap_ranges for vector<bool>::iterator ( #121150 )
...
This PR optimizes the performance of `std::ranges::swap_ranges` for
`vector<bool>::iterator`, addressing a subtask outlined in issue #64038 .
The optimizations yield performance improvements of up to **611x** for
aligned range swap and **78x** for unaligned range swap comparison.
Additionally, comprehensive tests covering up to 4 storage words (256
bytes) with odd and even bit sizes are provided, which validate the
proposed optimizations in this patch.
2025-03-04 17:15:36 -05:00
A. Jiang
bf9bf291a3
[libc++] Implement part of P2562R1: constexpr std::stable_partition ( #128868 )
...
Drive-by changes:
- Enables no-memory case for Clang.
- Enables `robust_re_difference_type.compile.pass.cpp` and
`robust_against_proxy_iterators_lifetime_bugs.pass.cpp` test coverage
for `std::stable_sort` in constant evaluation since C++26. The changes
were missing in the PR making `std::stable_sort` `constexpr`.
2025-03-04 09:23:29 +08:00
Nikolas Klauser
1a6f9fd87f
[libc++] Enable algorithm vectorization on arm neon ( #128873 )
...
Previously the wrong detection macro has been used to check whether arm
NEON is available. This fixes it, and removes a few unnecessary includes
from `__algorithm/simd_utils.h` as a drive-by.
2025-02-28 13:38:52 +01:00
Peng Liu
7717a549e9
[libc++] Optimize ranges::equal for vector<bool>::iterator ( #121084 )
...
This PR optimizes the performance of `std::ranges::equal` for
`vector<bool>::iterator`, addressing a subtask outlined in issue #64038 .
The optimizations yield performance improvements of up to 188x for
aligned equality comparison and 82x for unaligned equality
comparison. Moreover, comprehensive tests covering up to 4 storage words
(256 bytes) with odd and even bit sizes are provided, which validate the
proposed optimizations in this patch.
2025-02-26 12:18:25 -05:00
Louis Dionne
5e26fb1699
[libc++] Qualify calls to nullary functions like __throw_foo ( #122465 )
...
This is technically not necessary in most cases to prevent issues with ADL,
but let's be consistent. This allows us to remove the libcpp-qualify-declval
clang-tidy check, which is now enforced by the robust-against-adl clang-tidy check.
2025-02-21 07:59:46 -05:00
Peng Liu
ab3d793982
[libc++] Optimize ranges::move{,_backward} for vector<bool>::iterator ( #121109 )
...
As a follow-up to #121013 (which optimized `ranges::copy`) and #121026
(which optimized `ranges::copy_backward`), this PR enhances the
performance of `std::ranges::{move, move_backward}` for
`vector<bool>::iterator`, addressing a subtask outlined in issue #64038 .
The optimizations bring performance improvements analogous to those
achieved for the `{copy, copy_backward}` algorithms: up to 2000x for
aligned moves and 60x for unaligned moves. Moreover, comprehensive
tests covering up to 4 storage words (256 bytes) with odd and even bit
sizes are provided, which validate the proposed optimizations in this
patch.
2025-02-19 11:36:45 -05:00
Дмитрий Изволов
6e402f5121
[libc++] Support constexpr for std::stable_sort in radix sort branch ( #125284 )
...
`std::stable_sort` is `constexpr` since PR
https://github.com/llvm/llvm-project/pull/110320
But `radix_sort` branch is still non-`constexpr`.
This PR fixes it.
#119394
#105360
2025-02-06 09:07:25 +01:00
Peng Liu
cf9806eb4d
[libc++] Fix UB in bitwise logic of {std, ranges}::{fill, fill_n} algorithms ( #122410 )
...
This PR addresses an undefined behavior that arises when using the
`std::fill` and `std::fill_n` algorithms, as well as their ranges
counterparts `ranges::fill` and `ranges::fill_n`, with `vector<bool, Alloc>`
that utilizes a custom-sized allocator with small integral types.
2025-02-05 11:39:49 -05:00
Peng Liu
edc3dc6abd
[libc++] Optimize ranges::copy_backward for vector<bool>::iterator ( #121026 )
...
As a follow-up to #121013 (which focused on `std::ranges::copy`), this
PR optimizes the performance of `std::ranges::copy_backward` for
`vector<bool>::iterator`, addressing a subtask outlined in issue #64038 .
The optimizations yield performance improvements of up to 2000x for
aligned copies and 60x for unaligned copies.
2025-01-30 14:55:05 -05:00
Peng Liu
5b65896ad6
[libc++] Optimize ranges::copy{, _n} for vector<bool>::iterator ( #121013 )
...
This PR optimizes the performance of `std::ranges::copy` and
`std::ranges::copy_n` specifically for `vector<bool>::iterator`,
addressing a subtask outlined in issue #64038 . The optimizations yield
performance improvements of up to **2000x** for aligned copies and
**60x** for unaligned copies. Additionally, new tests have been added to
validate these enhancements.
- Aligned source-destination bits
ranges::copy
```
--------------------------------------------------------------------------
Benchmark Before After Improvement
--------------------------------------------------------------------------
bm_ranges_copy_vb_aligned/8 10.8 ns 1.42 ns 8x
bm_ranges_copy_vb_aligned/64 88.5 ns 2.28 ns 39x
bm_ranges_copy_vb_aligned/512 709 ns 1.95 ns 364x
bm_ranges_copy_vb_aligned/4096 5568 ns 5.01 ns 1111x
bm_ranges_copy_vb_aligned/32768 44754 ns 38.7 ns 1156x
bm_ranges_copy_vb_aligned/65536 91092 ns 73.2 ns 1244x
bm_ranges_copy_vb_aligned/102400 139473 ns 127 ns 1098x
bm_ranges_copy_vb_aligned/106496 189004 ns 81.5 ns 2319x
bm_ranges_copy_vb_aligned/110592 153647 ns 71.1 ns 2161x
bm_ranges_copy_vb_aligned/114688 159261 ns 70.2 ns 2269x
bm_ranges_copy_vb_aligned/118784 181910 ns 73.5 ns 2475x
bm_ranges_copy_vb_aligned/122880 174117 ns 76.5 ns 2276x
bm_ranges_copy_vb_aligned/126976 176020 ns 82.0 ns 2147x
bm_ranges_copy_vb_aligned/131072 180757 ns 137 ns 1319x
bm_ranges_copy_vb_aligned/135168 190342 ns 158 ns 1205x
bm_ranges_copy_vb_aligned/139264 192831 ns 103 ns 1872x
bm_ranges_copy_vb_aligned/143360 199627 ns 89.4 ns 2233x
bm_ranges_copy_vb_aligned/147456 203881 ns 88.6 ns 2301x
bm_ranges_copy_vb_aligned/151552 213345 ns 88.4 ns 2413x
bm_ranges_copy_vb_aligned/155648 216892 ns 92.9 ns 2335x
bm_ranges_copy_vb_aligned/159744 222751 ns 96.4 ns 2311x
bm_ranges_copy_vb_aligned/163840 225995 ns 173 ns 1306x
bm_ranges_copy_vb_aligned/167936 235230 ns 202 ns 1165x
bm_ranges_copy_vb_aligned/172032 244093 ns 131 ns 1863x
bm_ranges_copy_vb_aligned/176128 244434 ns 111 ns 2202x
bm_ranges_copy_vb_aligned/180224 249570 ns 108 ns 2311x
bm_ranges_copy_vb_aligned/184320 254538 ns 108 ns 2357x
bm_ranges_copy_vb_aligned/188416 261817 ns 113 ns 2317x
bm_ranges_copy_vb_aligned/192512 269923 ns 125 ns 2159x
bm_ranges_copy_vb_aligned/196608 273494 ns 210 ns 1302x
bm_ranges_copy_vb_aligned/200704 280035 ns 269 ns 1041x
bm_ranges_copy_vb_aligned/204800 293102 ns 231 ns 1269x
```
ranges::copy_n
```
--------------------------------------------------------------------------
Benchmark Before After Improvement
--------------------------------------------------------------------------
bm_ranges_copy_n_vb_aligned/8 11.8 ns 0.89 ns 13x
bm_ranges_copy_n_vb_aligned/64 91.6 ns 2.06 ns 44x
bm_ranges_copy_n_vb_aligned/512 718 ns 2.45 ns 293x
bm_ranges_copy_n_vb_aligned/4096 5750 ns 5.02 ns 1145x
bm_ranges_copy_n_vb_aligned/32768 45824 ns 40.9 ns 1120x
bm_ranges_copy_n_vb_aligned/65536 92267 ns 73.8 ns 1250x
bm_ranges_copy_n_vb_aligned/102400 143267 ns 125 ns 1146x
bm_ranges_copy_n_vb_aligned/106496 148625 ns 82.4 ns 1804x
bm_ranges_copy_n_vb_aligned/110592 154817 ns 72.0 ns 2150x
bm_ranges_copy_n_vb_aligned/114688 157953 ns 70.4 ns 2244x
bm_ranges_copy_n_vb_aligned/118784 162374 ns 71.5 ns 2270x
bm_ranges_copy_n_vb_aligned/122880 168638 ns 72.9 ns 2313x
bm_ranges_copy_n_vb_aligned/126976 175596 ns 76.6 ns 2292x
bm_ranges_copy_n_vb_aligned/131072 181164 ns 135 ns 1342x
bm_ranges_copy_n_vb_aligned/135168 184697 ns 157 ns 1176x
bm_ranges_copy_n_vb_aligned/139264 191395 ns 104 ns 1840x
bm_ranges_copy_n_vb_aligned/143360 194954 ns 88.3 ns 2208x
bm_ranges_copy_n_vb_aligned/147456 208917 ns 86.1 ns 2426x
bm_ranges_copy_n_vb_aligned/151552 211101 ns 87.2 ns 2421x
bm_ranges_copy_n_vb_aligned/155648 213175 ns 89.0 ns 2395x
bm_ranges_copy_n_vb_aligned/159744 218988 ns 86.7 ns 2526x
bm_ranges_copy_n_vb_aligned/163840 225263 ns 156 ns 1444x
bm_ranges_copy_n_vb_aligned/167936 230725 ns 184 ns 1254x
bm_ranges_copy_n_vb_aligned/172032 235795 ns 119 ns 1981x
bm_ranges_copy_n_vb_aligned/176128 241145 ns 101 ns 2388x
bm_ranges_copy_n_vb_aligned/180224 250680 ns 99.5 ns 2519x
bm_ranges_copy_n_vb_aligned/184320 262954 ns 99.7 ns 2637x
bm_ranges_copy_n_vb_aligned/188416 258584 ns 103 ns 2510x
bm_ranges_copy_n_vb_aligned/192512 267190 ns 125 ns 2138x
bm_ranges_copy_n_vb_aligned/196608 270821 ns 213 ns 1271x
bm_ranges_copy_n_vb_aligned/200704 279532 ns 262 ns 1067x
bm_ranges_copy_n_vb_aligned/204800 283412 ns 222 ns 1277x
```
- Unaligned source-destination bits
```
--------------------------------------------------------------------------------
Benchmark Before After Improvement
--------------------------------------------------------------------------------
bm_ranges_copy_vb_unaligned/8 12.8 ns 8.59 ns 1.5x
bm_ranges_copy_vb_unaligned/64 98.2 ns 8.24 ns 12x
bm_ranges_copy_vb_unaligned/512 755 ns 18.1 ns 42x
bm_ranges_copy_vb_unaligned/4096 6027 ns 102 ns 59x
bm_ranges_copy_vb_unaligned/32768 47663 ns 774 ns 62x
bm_ranges_copy_vb_unaligned/262144 378981 ns 6455 ns 59x
bm_ranges_copy_vb_unaligned/1048576 1520486 ns 25942 ns 59x
bm_ranges_copy_n_vb_unaligned/8 11.3 ns 8.22 ns 1.4x
bm_ranges_copy_n_vb_unaligned/64 97.3 ns 7.89 ns 12x
bm_ranges_copy_n_vb_unaligned/512 747 ns 18.1 ns 41x
bm_ranges_copy_n_vb_unaligned/4096 5932 ns 99.0 ns 60x
bm_ranges_copy_n_vb_unaligned/32768 47776 ns 749 ns 64x
bm_ranges_copy_n_vb_unaligned/262144 378802 ns 6576 ns 58x
bm_ranges_copy_n_vb_unaligned/1048576 1547234 ns 26229 ns 59x
```
2025-01-30 17:26:26 +01:00
Nikolas Klauser
24e70e3930
[libc++] Switch experimental library macros to 0/1 macros ( #124030 )
...
This is a continuation of what's been started in #89178 .
As a drive-by, this also changes the PSTL macro to say `EXPERIMENTAL`
instead of `INCOMPLETE`.
2025-01-24 09:34:42 +01:00
Nikolas Klauser
0fa05456a8
[libc++] Define an internal API for std::invoke and friends ( #116637 )
...
Currently we're using quite different internal names for the
`std::invoke` family of type traits. This adds a layer around the
current implementation to make it easier to understand when it is used
and makes it easier to define multiple implementations of it.
2025-01-20 18:00:15 +01:00
Peng Liu
493c066a3d
[libc++] Fix ambiguity due to non-uglified member typedefs ( #121664 )
...
This PR fixes the ambiguities in name lookup caused by non-standard
member typedefs `size_type` and `difference_type` in `std::bitset`.
Follows up #121620 .
Closes #121618 .
2025-01-14 10:30:30 -05:00
PaulXiCao
438e2ccd4a
[libc++] Make std::stable_sort constexpr friendly ( #110320 )
...
Implementing `constexpr std::stable_sort`. This is part of P2562R1,
tracked via issue #105360 .
Closes #119394
Co-authored-by: A. Jiang <de34@live.cn>
Co-authored-by: Louis Dionne <ldionne.2@gmail.com>
2025-01-14 10:24:35 -05:00
Louis Dionne
c492a228e9
[libc++] Add missing _LIBCPP_NODEBUG on internal aliases
2025-01-09 16:03:39 -05:00
Дмитрий Изволов
69b54c1a05
[libcxx][algorithm] Optimize std::stable_sort via radix sort algorithm ( #104683 )
...
The radix sort (LSD) algorithm allows to speed up std::stable_sort
dramatically in case we sort integers.
The speed up varies from a relatively small to x10 times, depending on
type of sorted elements and the initial state of the sorted array.
```
Running ./libcxx/test/benchmarks/stable_sort.bench.out
Run on (12 X 2600 MHz CPU s)
CPU Caches:
L1 Data 32 KiB
L1 Instruction 32 KiB
L2 Unified 256 KiB (x6)
L3 Unified 12288 KiB
Load Average: 3.48, 3.38, 3.08
---------------------------------------------------------------------------
Benchmark After Before
---------------------------------------------------------------------------
BM_StableSort_int8_Random_1 3.39 ns 3.58 ns
BM_StableSort_int8_Random_4 21.1 ns 21.9 ns
BM_StableSort_int8_Random_16 142 ns 147 ns
BM_StableSort_int8_Random_64 893 ns 903 ns
BM_StableSort_int8_Random_256 409 ns 5810 ns
BM_StableSort_int8_Random_1024 1235 ns 29973 ns
BM_StableSort_int8_Random_4096 4410 ns 141880 ns
BM_StableSort_int8_Random_16384 18044 ns 620540 ns
BM_StableSort_int8_Random_65536 144030 ns 2592013 ns
BM_StableSort_int8_Random_262144 858350 ns 10935814 ns
BM_StableSort_int8_Random_524288 2929988 ns 27060729 ns
BM_StableSort_int8_Random_1048576 6058292 ns 49622720 ns
BM_StableSort_int8_Ascending_1 3.42 ns 3.92 ns
BM_StableSort_int8_Ascending_4 5.86 ns 8.08 ns
BM_StableSort_int8_Ascending_16 10.6 ns 12.0 ns
BM_StableSort_int8_Ascending_64 28.9 ns 30.6 ns
BM_StableSort_int8_Ascending_256 415 ns 391 ns
BM_StableSort_int8_Ascending_1024 1666 ns 2309 ns
BM_StableSort_int8_Ascending_4096 7748 ns 12269 ns
BM_StableSort_int8_Ascending_16384 40588 ns 60181 ns
BM_StableSort_int8_Ascending_65536 178843 ns 298221 ns
BM_StableSort_int8_Ascending_262144 919959 ns 1402692 ns
BM_StableSort_int8_Ascending_524288 2397397 ns 3036984 ns
BM_StableSort_int8_Ascending_1048576 5080043 ns 7218581 ns
BM_StableSort_int8_Descending_1 3.44 ns 3.53 ns
BM_StableSort_int8_Descending_4 7.94 ns 8.29 ns
BM_StableSort_int8_Descending_16 59.6 ns 57.7 ns
BM_StableSort_int8_Descending_64 1051 ns 1027 ns
BM_StableSort_int8_Descending_256 422 ns 4718 ns
BM_StableSort_int8_Descending_1024 1676 ns 21044 ns
BM_StableSort_int8_Descending_4096 7766 ns 64827 ns
BM_StableSort_int8_Descending_16384 40230 ns 93981 ns
BM_StableSort_int8_Descending_65536 190978 ns 421151 ns
BM_StableSort_int8_Descending_262144 1055141 ns 1918927 ns
BM_StableSort_int8_Descending_524288 2875115 ns 3809153 ns
BM_StableSort_int8_Descending_1048576 5854135 ns 8713690 ns
BM_StableSort_int8_SingleElement_1 3.52 ns 3.46 ns
BM_StableSort_int8_SingleElement_4 6.25 ns 5.79 ns
BM_StableSort_int8_SingleElement_16 10.7 ns 11.4 ns
BM_StableSort_int8_SingleElement_64 29.3 ns 30.3 ns
BM_StableSort_int8_SingleElement_256 858 ns 380 ns
BM_StableSort_int8_SingleElement_1024 3036 ns 2231 ns
BM_StableSort_int8_SingleElement_4096 11580 ns 11866 ns
BM_StableSort_int8_SingleElement_16384 44956 ns 59621 ns
BM_StableSort_int8_SingleElement_65536 182006 ns 297853 ns
BM_StableSort_int8_SingleElement_262144 962181 ns 1432857 ns
BM_StableSort_int8_SingleElement_524288 2256687 ns 2975707 ns
BM_StableSort_int8_SingleElement_1048576 4522556 ns 6949948 ns
BM_StableSort_int8_PipeOrgan_1 3.26 ns 3.64 ns
BM_StableSort_int8_PipeOrgan_4 6.21 ns 6.58 ns
BM_StableSort_int8_PipeOrgan_16 23.7 ns 25.4 ns
BM_StableSort_int8_PipeOrgan_64 250 ns 248 ns
BM_StableSort_int8_PipeOrgan_256 414 ns 2498 ns
BM_StableSort_int8_PipeOrgan_1024 1697 ns 10946 ns
BM_StableSort_int8_PipeOrgan_4096 7840 ns 37238 ns
BM_StableSort_int8_PipeOrgan_16384 41402 ns 74805 ns
BM_StableSort_int8_PipeOrgan_65536 180107 ns 357891 ns
BM_StableSort_int8_PipeOrgan_262144 988273 ns 1647296 ns
BM_StableSort_int8_PipeOrgan_524288 2547374 ns 3245991 ns
BM_StableSort_int8_PipeOrgan_1048576 5128783 ns 7342444 ns
BM_StableSort_int8_QuickSortAdversary_1 3.14 ns 4.01 ns
BM_StableSort_int8_QuickSortAdversary_4 6.05 ns 7.02 ns
BM_StableSort_int8_QuickSortAdversary_16 10.5 ns 11.9 ns
BM_StableSort_int8_QuickSortAdversary_64 520 ns 516 ns
BM_StableSort_int8_QuickSortAdversary_256 920 ns 386 ns
BM_StableSort_int8_QuickSortAdversary_1024 3083 ns 2299 ns
BM_StableSort_int8_QuickSortAdversary_4096 11659 ns 12295 ns
BM_StableSort_int8_QuickSortAdversary_16384 45721 ns 60931 ns
BM_StableSort_int8_QuickSortAdversary_65536 186334 ns 295423 ns
BM_StableSort_int8_QuickSortAdversary_262144 946262 ns 1399973 ns
BM_StableSort_int8_QuickSortAdversary_524288 2282004 ns 2832266 ns
BM_StableSort_int8_QuickSortAdversary_1048576 4691123 ns 6963253 ns
BM_StableSort_uint8_Random_1 3.11 ns 3.44 ns
BM_StableSort_uint8_Random_4 21.9 ns 23.1 ns
BM_StableSort_uint8_Random_16 154 ns 171 ns
BM_StableSort_uint8_Random_64 1000 ns 1051 ns
BM_StableSort_uint8_Random_256 402 ns 6498 ns
BM_StableSort_uint8_Random_1024 1176 ns 35310 ns
BM_StableSort_uint8_Random_4096 4415 ns 164087 ns
BM_StableSort_uint8_Random_16384 17849 ns 686769 ns
BM_StableSort_uint8_Random_65536 146109 ns 2932051 ns
BM_StableSort_uint8_Random_262144 876710 ns 12163988 ns
BM_StableSort_uint8_Random_524288 2858089 ns 26458830 ns
BM_StableSort_uint8_Random_1048576 5766942 ns 54836214 ns
BM_StableSort_uint8_Ascending_1 3.11 ns 3.43 ns
BM_StableSort_uint8_Ascending_4 6.18 ns 7.24 ns
BM_StableSort_uint8_Ascending_16 14.5 ns 17.0 ns
BM_StableSort_uint8_Ascending_64 50.7 ns 59.2 ns
BM_StableSort_uint8_Ascending_256 395 ns 536 ns
BM_StableSort_uint8_Ascending_1024 1752 ns 2956 ns
BM_StableSort_uint8_Ascending_4096 7785 ns 15146 ns
BM_StableSort_uint8_Ascending_16384 41442 ns 74136 ns
BM_StableSort_uint8_Ascending_65536 180879 ns 354261 ns
BM_StableSort_uint8_Ascending_262144 945880 ns 1674256 ns
BM_StableSort_uint8_Ascending_524288 2287832 ns 3138581 ns
BM_StableSort_uint8_Ascending_1048576 4630290 ns 7296278 ns
BM_StableSort_uint8_Descending_1 3.19 ns 3.63 ns
BM_StableSort_uint8_Descending_4 9.60 ns 11.5 ns
BM_StableSort_uint8_Descending_16 78.3 ns 86.0 ns
BM_StableSort_uint8_Descending_64 1265 ns 1308 ns
BM_StableSort_uint8_Descending_256 395 ns 6556 ns
BM_StableSort_uint8_Descending_1024 1712 ns 24669 ns
BM_StableSort_uint8_Descending_4096 7748 ns 83407 ns
BM_StableSort_uint8_Descending_16384 40779 ns 104043 ns
BM_StableSort_uint8_Descending_65536 181560 ns 467680 ns
BM_StableSort_uint8_Descending_262144 1146627 ns 2102769 ns
BM_StableSort_uint8_Descending_524288 2874096 ns 4572229 ns
BM_StableSort_uint8_Descending_1048576 5873195 ns 10170663 ns
BM_StableSort_uint8_SingleElement_1 3.28 ns 3.58 ns
BM_StableSort_uint8_SingleElement_4 6.44 ns 7.40 ns
BM_StableSort_uint8_SingleElement_16 14.9 ns 16.4 ns
BM_StableSort_uint8_SingleElement_64 51.2 ns 52.9 ns
BM_StableSort_uint8_SingleElement_256 876 ns 490 ns
BM_StableSort_uint8_SingleElement_1024 3041 ns 2750 ns
BM_StableSort_uint8_SingleElement_4096 11947 ns 14326 ns
BM_StableSort_uint8_SingleElement_16384 46669 ns 69984 ns
BM_StableSort_uint8_SingleElement_65536 197903 ns 328961 ns
BM_StableSort_uint8_SingleElement_262144 1031466 ns 1551436 ns
BM_StableSort_uint8_SingleElement_524288 2447672 ns 3049553 ns
BM_StableSort_uint8_SingleElement_1048576 4793087 ns 7615245 ns
BM_StableSort_uint8_PipeOrgan_1 3.38 ns 3.56 ns
BM_StableSort_uint8_PipeOrgan_4 7.16 ns 8.70 ns
BM_StableSort_uint8_PipeOrgan_16 31.7 ns 35.3 ns
BM_StableSort_uint8_PipeOrgan_64 326 ns 366 ns
BM_StableSort_uint8_PipeOrgan_256 409 ns 2942 ns
BM_StableSort_uint8_PipeOrgan_1024 1994 ns 12571 ns
BM_StableSort_uint8_PipeOrgan_4096 8086 ns 46278 ns
BM_StableSort_uint8_PipeOrgan_16384 41749 ns 79813 ns
BM_StableSort_uint8_PipeOrgan_65536 180697 ns 375120 ns
BM_StableSort_uint8_PipeOrgan_262144 1004899 ns 1676143 ns
BM_StableSort_uint8_PipeOrgan_524288 2456081 ns 3333949 ns
BM_StableSort_uint8_PipeOrgan_1048576 5030857 ns 7591303 ns
BM_StableSort_uint8_QuickSortAdversary_1 3.12 ns 3.46 ns
BM_StableSort_uint8_QuickSortAdversary_4 7.25 ns 6.83 ns
BM_StableSort_uint8_QuickSortAdversary_16 14.6 ns 16.2 ns
BM_StableSort_uint8_QuickSortAdversary_64 650 ns 665 ns
BM_StableSort_uint8_QuickSortAdversary_256 395 ns 2982 ns
BM_StableSort_uint8_QuickSortAdversary_1024 3125 ns 2583 ns
BM_StableSort_uint8_QuickSortAdversary_4096 11797 ns 13929 ns
BM_StableSort_uint8_QuickSortAdversary_16384 45803 ns 66513 ns
BM_StableSort_uint8_QuickSortAdversary_65536 190745 ns 313467 ns
BM_StableSort_uint8_QuickSortAdversary_262144 974646 ns 1469014 ns
BM_StableSort_uint8_QuickSortAdversary_524288 2317553 ns 3022065 ns
BM_StableSort_uint8_QuickSortAdversary_1048576 4898703 ns 6854079 ns
BM_StableSort_int16_Random_1 3.94 ns 3.49 ns
BM_StableSort_int16_Random_4 20.8 ns 23.2 ns
BM_StableSort_int16_Random_16 133 ns 163 ns
BM_StableSort_int16_Random_64 903 ns 953 ns
BM_StableSort_int16_Random_256 5638 ns 6258 ns
BM_StableSort_int16_Random_1024 3056 ns 34587 ns
BM_StableSort_int16_Random_4096 10596 ns 168397 ns
BM_StableSort_int16_Random_16384 49908 ns 753031 ns
BM_StableSort_int16_Random_65536 444605 ns 3838368 ns
BM_StableSort_int16_Random_262144 2419345 ns 15657285 ns
BM_StableSort_int16_Random_524288 7984040 ns 32726933 ns
BM_StableSort_int16_Random_1048576 16092424 ns 67999766 ns
BM_StableSort_int16_Ascending_1 3.40 ns 3.43 ns
BM_StableSort_int16_Ascending_4 5.45 ns 5.79 ns
BM_StableSort_int16_Ascending_16 12.0 ns 15.3 ns
BM_StableSort_int16_Ascending_64 39.6 ns 52.6 ns
BM_StableSort_int16_Ascending_256 470 ns 550 ns
BM_StableSort_int16_Ascending_1024 1686 ns 2707 ns
BM_StableSort_int16_Ascending_4096 5676 ns 14165 ns
BM_StableSort_int16_Ascending_16384 21413 ns 69483 ns
BM_StableSort_int16_Ascending_65536 88010 ns 334466 ns
BM_StableSort_int16_Ascending_262144 567239 ns 1570620 ns
BM_StableSort_int16_Ascending_524288 1553063 ns 3424666 ns
BM_StableSort_int16_Ascending_1048576 3145577 ns 8499649 ns
BM_StableSort_int16_Descending_1 3.22 ns 3.54 ns
BM_StableSort_int16_Descending_4 6.85 ns 10.2 ns
BM_StableSort_int16_Descending_16 62.7 ns 62.2 ns
BM_StableSort_int16_Descending_64 1138 ns 1036 ns
BM_StableSort_int16_Descending_256 5541 ns 4696 ns
BM_StableSort_int16_Descending_1024 3046 ns 19577 ns
BM_StableSort_int16_Descending_4096 10962 ns 79149 ns
BM_StableSort_int16_Descending_16384 58182 ns 327709 ns
BM_StableSort_int16_Descending_65536 447025 ns 1424896 ns
BM_StableSort_int16_Descending_262144 1104973 ns 5921903 ns
BM_StableSort_int16_Descending_524288 2547840 ns 17956789 ns
BM_StableSort_int16_Descending_1048576 5093555 ns 17044318 ns
BM_StableSort_int16_SingleElement_1 3.56 ns 3.96 ns
BM_StableSort_int16_SingleElement_4 5.75 ns 6.72 ns
BM_StableSort_int16_SingleElement_16 12.4 ns 16.1 ns
BM_StableSort_int16_SingleElement_64 36.9 ns 54.4 ns
BM_StableSort_int16_SingleElement_256 473 ns 557 ns
BM_StableSort_int16_SingleElement_1024 1828 ns 2826 ns
BM_StableSort_int16_SingleElement_4096 6239 ns 14252 ns
BM_StableSort_int16_SingleElement_16384 23695 ns 70369 ns
BM_StableSort_int16_SingleElement_65536 93281 ns 361641 ns
BM_StableSort_int16_SingleElement_262144 599078 ns 1640216 ns
BM_StableSort_int16_SingleElement_524288 1659678 ns 3343087 ns
BM_StableSort_int16_SingleElement_1048576 3184033 ns 7770271 ns
BM_StableSort_int16_PipeOrgan_1 3.75 ns 3.76 ns
BM_StableSort_int16_PipeOrgan_4 5.94 ns 7.74 ns
BM_StableSort_int16_PipeOrgan_16 26.7 ns 25.9 ns
BM_StableSort_int16_PipeOrgan_64 300 ns 263 ns
BM_StableSort_int16_PipeOrgan_256 2769 ns 2760 ns
BM_StableSort_int16_PipeOrgan_1024 2996 ns 10544 ns
BM_StableSort_int16_PipeOrgan_4096 11641 ns 44750 ns
BM_StableSort_int16_PipeOrgan_16384 57224 ns 200464 ns
BM_StableSort_int16_PipeOrgan_65536 416873 ns 887631 ns
BM_StableSort_int16_PipeOrgan_262144 843264 ns 3588669 ns
BM_StableSort_int16_PipeOrgan_524288 2027741 ns 11056924 ns
BM_StableSort_int16_PipeOrgan_1048576 4223773 ns 13261276 ns
BM_StableSort_int16_QuickSortAdversary_1 3.83 ns 3.68 ns
BM_StableSort_int16_QuickSortAdversary_4 5.55 ns 6.93 ns
BM_StableSort_int16_QuickSortAdversary_16 12.3 ns 15.2 ns
BM_StableSort_int16_QuickSortAdversary_64 646 ns 632 ns
BM_StableSort_int16_QuickSortAdversary_256 2751 ns 2542 ns
BM_StableSort_int16_QuickSortAdversary_1024 3028 ns 16901 ns
BM_StableSort_int16_QuickSortAdversary_4096 10862 ns 80222 ns
BM_StableSort_int16_QuickSortAdversary_16384 57753 ns 317281 ns
BM_StableSort_int16_QuickSortAdversary_65536 94064 ns 328502 ns
BM_StableSort_int16_QuickSortAdversary_262144 557796 ns 1613208 ns
BM_StableSort_int16_QuickSortAdversary_524288 1518451 ns 3479740 ns
BM_StableSort_int16_QuickSortAdversary_1048576 3165129 ns 7655880 ns
BM_StableSort_uint16_Random_1 3.26 ns 3.44 ns
BM_StableSort_uint16_Random_4 21.1 ns 22.2 ns
BM_StableSort_uint16_Random_16 157 ns 156 ns
BM_StableSort_uint16_Random_64 955 ns 947 ns
BM_StableSort_uint16_Random_256 5886 ns 6097 ns
BM_StableSort_uint16_Random_1024 2787 ns 30776 ns
BM_StableSort_uint16_Random_4096 9973 ns 155652 ns
BM_StableSort_uint16_Random_16384 48628 ns 741072 ns
BM_StableSort_uint16_Random_65536 439609 ns 3478966 ns
BM_StableSort_uint16_Random_262144 2336983 ns 15197642 ns
BM_StableSort_uint16_Random_524288 7888701 ns 34234254 ns
BM_StableSort_uint16_Random_1048576 14865180 ns 68516386 ns
BM_StableSort_uint16_Ascending_1 3.33 ns 4.00 ns
BM_StableSort_uint16_Ascending_4 5.79 ns 6.64 ns
BM_StableSort_uint16_Ascending_16 14.9 ns 15.5 ns
BM_StableSort_uint16_Ascending_64 50.2 ns 52.5 ns
BM_StableSort_uint16_Ascending_256 538 ns 546 ns
BM_StableSort_uint16_Ascending_1024 1645 ns 2652 ns
BM_StableSort_uint16_Ascending_4096 5559 ns 14517 ns
BM_StableSort_uint16_Ascending_16384 22803 ns 70275 ns
BM_StableSort_uint16_Ascending_65536 83109 ns 333446 ns
BM_StableSort_uint16_Ascending_262144 562667 ns 1568670 ns
BM_StableSort_uint16_Ascending_524288 1564646 ns 3059839 ns
BM_StableSort_uint16_Ascending_1048576 3178826 ns 7048327 ns
BM_StableSort_uint16_Descending_1 3.34 ns 3.93 ns
BM_StableSort_uint16_Descending_4 8.75 ns 9.73 ns
BM_StableSort_uint16_Descending_16 55.9 ns 55.5 ns
BM_StableSort_uint16_Descending_64 1021 ns 1035 ns
BM_StableSort_uint16_Descending_256 4752 ns 4931 ns
BM_StableSort_uint16_Descending_1024 2982 ns 19727 ns
BM_StableSort_uint16_Descending_4096 10432 ns 83165 ns
BM_StableSort_uint16_Descending_16384 56593 ns 326131 ns
BM_StableSort_uint16_Descending_65536 439134 ns 1371346 ns
BM_StableSort_uint16_Descending_262144 1220925 ns 5735665 ns
BM_StableSort_uint16_Descending_524288 2767234 ns 16758330 ns
BM_StableSort_uint16_Descending_1048576 5673769 ns 17541715 ns
BM_StableSort_uint16_SingleElement_1 3.53 ns 3.73 ns
BM_StableSort_uint16_SingleElement_4 6.27 ns 5.81 ns
BM_StableSort_uint16_SingleElement_16 14.8 ns 15.1 ns
BM_StableSort_uint16_SingleElement_64 51.5 ns 50.9 ns
BM_StableSort_uint16_SingleElement_256 536 ns 540 ns
BM_StableSort_uint16_SingleElement_1024 1669 ns 2690 ns
BM_StableSort_uint16_SingleElement_4096 5840 ns 14230 ns
BM_StableSort_uint16_SingleElement_16384 22468 ns 68524 ns
BM_StableSort_uint16_SingleElement_65536 89845 ns 332187 ns
BM_StableSort_uint16_SingleElement_262144 590736 ns 1550868 ns
BM_StableSort_uint16_SingleElement_524288 1573677 ns 3095703 ns
BM_StableSort_uint16_SingleElement_1048576 3183421 ns 8251180 ns
BM_StableSort_uint16_PipeOrgan_1 3.70 ns 3.64 ns
BM_StableSort_uint16_PipeOrgan_4 7.01 ns 6.81 ns
BM_StableSort_uint16_PipeOrgan_16 25.7 ns 26.4 ns
BM_StableSort_uint16_PipeOrgan_64 283 ns 277 ns
BM_StableSort_uint16_PipeOrgan_256 2562 ns 2852 ns
BM_StableSort_uint16_PipeOrgan_1024 2863 ns 10892 ns
BM_StableSort_uint16_PipeOrgan_4096 10585 ns 45668 ns
BM_StableSort_uint16_PipeOrgan_16384 59151 ns 194358 ns
BM_StableSort_uint16_PipeOrgan_65536 508579 ns 854692 ns
BM_StableSort_uint16_PipeOrgan_262144 901294 ns 3606346 ns
BM_StableSort_uint16_PipeOrgan_524288 2192498 ns 10449279 ns
BM_StableSort_uint16_PipeOrgan_1048576 4204368 ns 11956606 ns
BM_StableSort_uint16_QuickSortAdversary_1 3.20 ns 3.63 ns
BM_StableSort_uint16_QuickSortAdversary_4 5.30 ns 6.38 ns
BM_StableSort_uint16_QuickSortAdversary_16 14.5 ns 15.3 ns
BM_StableSort_uint16_QuickSortAdversary_64 575 ns 611 ns
BM_StableSort_uint16_QuickSortAdversary_256 2423 ns 2577 ns
BM_StableSort_uint16_QuickSortAdversary_1024 2794 ns 16854 ns
BM_StableSort_uint16_QuickSortAdversary_4096 10511 ns 75952 ns
BM_StableSort_uint16_QuickSortAdversary_16384 56214 ns 333824 ns
BM_StableSort_uint16_QuickSortAdversary_65536 422512 ns 1354867 ns
BM_StableSort_uint16_QuickSortAdversary_262144 583301 ns 1564443 ns
BM_StableSort_uint16_QuickSortAdversary_524288 1584319 ns 3265575 ns
BM_StableSort_uint16_QuickSortAdversary_1048576 3197732 ns 7945245 ns
BM_StableSort_int32_Random_1 3.81 ns 3.70 ns
BM_StableSort_int32_Random_4 20.8 ns 23.4 ns
BM_StableSort_int32_Random_16 134 ns 161 ns
BM_StableSort_int32_Random_64 895 ns 984 ns
BM_StableSort_int32_Random_256 5640 ns 5897 ns
BM_StableSort_int32_Random_1024 6994 ns 32118 ns
BM_StableSort_int32_Random_4096 27367 ns 168960 ns
BM_StableSort_int32_Random_16384 183261 ns 843240 ns
BM_StableSort_int32_Random_65536 950914 ns 3953588 ns
BM_StableSort_int32_Random_262144 3673311 ns 16790171 ns
BM_StableSort_int32_Random_524288 11515700 ns 36023098 ns
BM_StableSort_int32_Random_1048576 24492515 ns 78116028 ns
BM_StableSort_int32_Ascending_1 3.31 ns 4.48 ns
BM_StableSort_int32_Ascending_4 5.96 ns 6.99 ns
BM_StableSort_int32_Ascending_16 13.0 ns 16.0 ns
BM_StableSort_int32_Ascending_64 36.7 ns 53.0 ns
BM_StableSort_int32_Ascending_256 391 ns 471 ns
BM_StableSort_int32_Ascending_1024 2705 ns 2682 ns
BM_StableSort_int32_Ascending_4096 8773 ns 14231 ns
BM_StableSort_int32_Ascending_16384 34709 ns 70625 ns
BM_StableSort_int32_Ascending_65536 142907 ns 344482 ns
BM_StableSort_int32_Ascending_262144 745483 ns 1591418 ns
BM_StableSort_int32_Ascending_524288 1873701 ns 3190305 ns
BM_StableSort_int32_Ascending_1048576 3851590 ns 7570095 ns
BM_StableSort_int32_Descending_1 3.22 ns 4.23 ns
BM_StableSort_int32_Descending_4 7.58 ns 11.2 ns
BM_StableSort_int32_Descending_16 63.9 ns 58.6 ns
BM_StableSort_int32_Descending_64 1133 ns 1017 ns
BM_StableSort_int32_Descending_256 4850 ns 4464 ns
BM_StableSort_int32_Descending_1024 7023 ns 18954 ns
BM_StableSort_int32_Descending_4096 28550 ns 75163 ns
BM_StableSort_int32_Descending_16384 200880 ns 341104 ns
BM_StableSort_int32_Descending_65536 1095910 ns 1398021 ns
BM_StableSort_int32_Descending_262144 3818864 ns 5695486 ns
BM_StableSort_int32_Descending_524288 5606779 ns 17593982 ns
BM_StableSort_int32_Descending_1048576 16416366 ns 26649503 ns
BM_StableSort_int32_SingleElement_1 3.81 ns 3.71 ns
BM_StableSort_int32_SingleElement_4 6.57 ns 6.61 ns
BM_StableSort_int32_SingleElement_16 14.0 ns 15.8 ns
BM_StableSort_int32_SingleElement_64 38.7 ns 53.5 ns
BM_StableSort_int32_SingleElement_256 386 ns 554 ns
BM_StableSort_int32_SingleElement_1024 2761 ns 3046 ns
BM_StableSort_int32_SingleElement_4096 9179 ns 15188 ns
BM_StableSort_int32_SingleElement_16384 34794 ns 70119 ns
BM_StableSort_int32_SingleElement_65536 135190 ns 354755 ns
BM_StableSort_int32_SingleElement_262144 760995 ns 1644072 ns
BM_StableSort_int32_SingleElement_524288 1969575 ns 3343419 ns
BM_StableSort_int32_SingleElement_1048576 4423816 ns 8346971 ns
BM_StableSort_int32_PipeOrgan_1 3.79 ns 3.63 ns
BM_StableSort_int32_PipeOrgan_4 6.21 ns 6.73 ns
BM_StableSort_int32_PipeOrgan_16 27.5 ns 26.0 ns
BM_StableSort_int32_PipeOrgan_64 291 ns 265 ns
BM_StableSort_int32_PipeOrgan_256 2557 ns 2518 ns
BM_StableSort_int32_PipeOrgan_1024 6765 ns 10976 ns
BM_StableSort_int32_PipeOrgan_4096 26373 ns 44537 ns
BM_StableSort_int32_PipeOrgan_16384 201466 ns 188582 ns
BM_StableSort_int32_PipeOrgan_65536 1148533 ns 802368 ns
BM_StableSort_int32_PipeOrgan_262144 2255177 ns 3477829 ns
BM_StableSort_int32_PipeOrgan_524288 3947015 ns 10356637 ns
BM_StableSort_int32_PipeOrgan_1048576 10274312 ns 16405366 ns
BM_StableSort_int32_QuickSortAdversary_1 3.32 ns 4.36 ns
BM_StableSort_int32_QuickSortAdversary_4 5.98 ns 7.44 ns
BM_StableSort_int32_QuickSortAdversary_16 13.0 ns 16.3 ns
BM_StableSort_int32_QuickSortAdversary_64 657 ns 616 ns
BM_StableSort_int32_QuickSortAdversary_256 2569 ns 2483 ns
BM_StableSort_int32_QuickSortAdversary_1024 6898 ns 19635 ns
BM_StableSort_int32_QuickSortAdversary_4096 27092 ns 75108 ns
BM_StableSort_int32_QuickSortAdversary_16384 190379 ns 316463 ns
BM_StableSort_int32_QuickSortAdversary_65536 1109040 ns 1319018 ns
BM_StableSort_int32_QuickSortAdversary_262144 4361925 ns 5472779 ns
BM_StableSort_int32_QuickSortAdversary_524288 6528215 ns 17538983 ns
BM_StableSort_int32_QuickSortAdversary_1048576 18345325 ns 27223926 ns
BM_StableSort_uint32_Random_1 3.67 ns 3.82 ns
BM_StableSort_uint32_Random_4 22.3 ns 21.8 ns
BM_StableSort_uint32_Random_16 155 ns 153 ns
BM_StableSort_uint32_Random_64 946 ns 976 ns
BM_StableSort_uint32_Random_256 5824 ns 6019 ns
BM_StableSort_uint32_Random_1024 4525 ns 32764 ns
BM_StableSort_uint32_Random_4096 17223 ns 158608 ns
BM_StableSort_uint32_Random_16384 134821 ns 748525 ns
BM_StableSort_uint32_Random_65536 716644 ns 3453325 ns
BM_StableSort_uint32_Random_262144 3628062 ns 16065414 ns
BM_StableSort_uint32_Random_524288 10971334 ns 36567712 ns
BM_StableSort_uint32_Random_1048576 22688377 ns 77533497 ns
BM_StableSort_uint32_Ascending_1 3.57 ns 3.44 ns
BM_StableSort_uint32_Ascending_4 5.73 ns 5.33 ns
BM_StableSort_uint32_Ascending_16 14.5 ns 14.0 ns
BM_StableSort_uint32_Ascending_64 50.3 ns 51.3 ns
BM_StableSort_uint32_Ascending_256 465 ns 467 ns
BM_StableSort_uint32_Ascending_1024 3042 ns 2530 ns
BM_StableSort_uint32_Ascending_4096 9842 ns 12207 ns
BM_StableSort_uint32_Ascending_16384 37994 ns 61726 ns
BM_StableSort_uint32_Ascending_65536 148890 ns 294385 ns
BM_StableSort_uint32_Ascending_262144 855080 ns 1422167 ns
BM_StableSort_uint32_Ascending_524288 2154903 ns 3203018 ns
BM_StableSort_uint32_Ascending_1048576 5002518 ns 7563817 ns
BM_StableSort_uint32_Descending_1 3.51 ns 3.40 ns
BM_StableSort_uint32_Descending_4 9.09 ns 7.95 ns
BM_StableSort_uint32_Descending_16 54.8 ns 74.4 ns
BM_StableSort_uint32_Descending_64 1003 ns 1305 ns
BM_StableSort_uint32_Descending_256 4545 ns 5300 ns
BM_StableSort_uint32_Descending_1024 4361 ns 21884 ns
BM_StableSort_uint32_Descending_4096 16018 ns 90534 ns
BM_StableSort_uint32_Descending_16384 146274 ns 381943 ns
BM_StableSort_uint32_Descending_65536 938248 ns 1536806 ns
BM_StableSort_uint32_Descending_262144 3899300 ns 6387843 ns
BM_StableSort_uint32_Descending_524288 5808157 ns 21959858 ns
BM_StableSort_uint32_Descending_1048576 17520047 ns 26351912 ns
BM_StableSort_uint32_SingleElement_1 4.03 ns 3.97 ns
BM_StableSort_uint32_SingleElement_4 6.55 ns 6.41 ns
BM_StableSort_uint32_SingleElement_16 15.6 ns 15.8 ns
BM_StableSort_uint32_SingleElement_64 52.3 ns 58.7 ns
BM_StableSort_uint32_SingleElement_256 473 ns 485 ns
BM_StableSort_uint32_SingleElement_1024 3020 ns 2407 ns
BM_StableSort_uint32_SingleElement_4096 9998 ns 12527 ns
BM_StableSort_uint32_SingleElement_16384 38072 ns 62228 ns
BM_StableSort_uint32_SingleElement_65536 153706 ns 295662 ns
BM_StableSort_uint32_SingleElement_262144 836532 ns 1477099 ns
BM_StableSort_uint32_SingleElement_524288 2144900 ns 3157204 ns
BM_StableSort_uint32_SingleElement_1048576 4995525 ns 7617233 ns
BM_StableSort_uint32_PipeOrgan_1 4.02 ns 3.99 ns
BM_StableSort_uint32_PipeOrgan_4 6.97 ns 6.84 ns
BM_StableSort_uint32_PipeOrgan_16 26.1 ns 29.7 ns
BM_StableSort_uint32_PipeOrgan_64 266 ns 333 ns
BM_StableSort_uint32_PipeOrgan_256 2462 ns 2892 ns
BM_StableSort_uint32_PipeOrgan_1024 4291 ns 12431 ns
BM_StableSort_uint32_PipeOrgan_4096 15638 ns 51449 ns
BM_StableSort_uint32_PipeOrgan_16384 154563 ns 217460 ns
BM_StableSort_uint32_PipeOrgan_65536 907724 ns 925873 ns
BM_StableSort_uint32_PipeOrgan_262144 2394580 ns 4103575 ns
BM_StableSort_uint32_PipeOrgan_524288 4177145 ns 13947158 ns
BM_StableSort_uint32_PipeOrgan_1048576 11848224 ns 18807297 ns
BM_StableSort_uint32_QuickSortAdversary_1 3.50 ns 3.43 ns
BM_StableSort_uint32_QuickSortAdversary_4 5.88 ns 4.96 ns
BM_StableSort_uint32_QuickSortAdversary_16 14.6 ns 14.0 ns
BM_StableSort_uint32_QuickSortAdversary_64 576 ns 715 ns
BM_StableSort_uint32_QuickSortAdversary_256 2353 ns 2797 ns
BM_StableSort_uint32_QuickSortAdversary_1024 4176 ns 21775 ns
BM_StableSort_uint32_QuickSortAdversary_4096 15565 ns 96188 ns
BM_StableSort_uint32_QuickSortAdversary_16384 149092 ns 398332 ns
BM_StableSort_uint32_QuickSortAdversary_65536 902488 ns 1552393 ns
BM_StableSort_uint32_QuickSortAdversary_262144 3946517 ns 6560414 ns
BM_StableSort_uint32_QuickSortAdversary_524288 6247114 ns 22420977 ns
BM_StableSort_uint32_QuickSortAdversary_1048576 19892446 ns 26529576 ns
BM_StableSort_int64_Random_1 3.83 ns 3.98 ns
BM_StableSort_int64_Random_4 21.1 ns 24.0 ns
BM_StableSort_int64_Random_16 129 ns 136 ns
BM_StableSort_int64_Random_64 890 ns 906 ns
BM_StableSort_int64_Random_256 5542 ns 5901 ns
BM_StableSort_int64_Random_1024 16085 ns 33112 ns
BM_StableSort_int64_Random_4096 63895 ns 162181 ns
BM_StableSort_int64_Random_16384 348827 ns 790045 ns
BM_StableSort_int64_Random_65536 1488237 ns 3557506 ns
BM_StableSort_int64_Random_262144 8195713 ns 16315808 ns
BM_StableSort_int64_Random_524288 16586833 ns 38274075 ns
BM_StableSort_int64_Random_1048576 40346644 ns 79182089 ns
BM_StableSort_int64_Ascending_1 3.76 ns 3.55 ns
BM_StableSort_int64_Ascending_4 5.82 ns 6.19 ns
BM_StableSort_int64_Ascending_16 11.7 ns 11.8 ns
BM_StableSort_int64_Ascending_64 32.9 ns 36.8 ns
BM_StableSort_int64_Ascending_256 415 ns 550 ns
BM_StableSort_int64_Ascending_1024 5352 ns 3347 ns
BM_StableSort_int64_Ascending_4096 17516 ns 19134 ns
BM_StableSort_int64_Ascending_16384 64147 ns 91099 ns
BM_StableSort_int64_Ascending_65536 322126 ns 434009 ns
BM_StableSort_int64_Ascending_262144 1554669 ns 2057056 ns
BM_StableSort_int64_Ascending_524288 3656527 ns 5016650 ns
BM_StableSort_int64_Ascending_1048576 10469979 ns 12908613 ns
BM_StableSort_int64_Descending_1 4.09 ns 3.35 ns
BM_StableSort_int64_Descending_4 9.13 ns 8.01 ns
BM_StableSort_int64_Descending_16 76.8 ns 92.9 ns
BM_StableSort_int64_Descending_64 1336 ns 1417 ns
BM_StableSort_int64_Descending_256 5525 ns 5674 ns
BM_StableSort_int64_Descending_1024 17461 ns 22558 ns
BM_StableSort_int64_Descending_4096 64285 ns 102360 ns
BM_StableSort_int64_Descending_16384 336946 ns 388940 ns
BM_StableSort_int64_Descending_65536 837912 ns 1662169 ns
BM_StableSort_int64_Descending_262144 3680806 ns 7494323 ns
BM_StableSort_int64_Descending_524288 11023784 ns 24935033 ns
BM_StableSort_int64_Descending_1048576 20023568 ns 33220712 ns
BM_StableSort_int64_SingleElement_1 3.37 ns 3.98 ns
BM_StableSort_int64_SingleElement_4 5.32 ns 6.92 ns
BM_StableSort_int64_SingleElement_16 10.9 ns 13.3 ns
BM_StableSort_int64_SingleElement_64 32.1 ns 43.8 ns
BM_StableSort_int64_SingleElement_256 420 ns 541 ns
BM_StableSort_int64_SingleElement_1024 5689 ns 3381 ns
BM_StableSort_int64_SingleElement_4096 19199 ns 17989 ns
BM_StableSort_int64_SingleElement_16384 75754 ns 91963 ns
BM_StableSort_int64_SingleElement_65536 357106 ns 500326 ns
BM_StableSort_int64_SingleElement_262144 1672975 ns 2417734 ns
BM_StableSort_int64_SingleElement_524288 3642891 ns 5200878 ns
BM_StableSort_int64_SingleElement_1048576 11172007 ns 13729511 ns
BM_StableSort_int64_PipeOrgan_1 3.38 ns 3.94 ns
BM_StableSort_int64_PipeOrgan_4 5.73 ns 6.44 ns
BM_StableSort_int64_PipeOrgan_16 27.5 ns 29.0 ns
BM_StableSort_int64_PipeOrgan_64 310 ns 321 ns
BM_StableSort_int64_PipeOrgan_256 2761 ns 2918 ns
BM_StableSort_int64_PipeOrgan_1024 16105 ns 12525 ns
BM_StableSort_int64_PipeOrgan_4096 65289 ns 59990 ns
BM_StableSort_int64_PipeOrgan_16384 341757 ns 270636 ns
BM_StableSort_int64_PipeOrgan_65536 587452 ns 1126132 ns
BM_StableSort_int64_PipeOrgan_262144 2837955 ns 5034180 ns
BM_StableSort_int64_PipeOrgan_524288 6617313 ns 15267354 ns
BM_StableSort_int64_PipeOrgan_1048576 15208796 ns 23162989 ns
BM_StableSort_int64_QuickSortAdversary_1 3.77 ns 3.45 ns
BM_StableSort_int64_QuickSortAdversary_4 5.55 ns 5.20 ns
BM_StableSort_int64_QuickSortAdversary_16 12.5 ns 11.5 ns
BM_StableSort_int64_QuickSortAdversary_64 646 ns 750 ns
BM_StableSort_int64_QuickSortAdversary_256 2655 ns 3539 ns
BM_StableSort_int64_QuickSortAdversary_1024 16373 ns 22349 ns
BM_StableSort_int64_QuickSortAdversary_4096 62306 ns 97248 ns
BM_StableSort_int64_QuickSortAdversary_16384 321755 ns 388084 ns
BM_StableSort_int64_QuickSortAdversary_65536 1374694 ns 1596091 ns
BM_StableSort_int64_QuickSortAdversary_262144 4374661 ns 6894139 ns
BM_StableSort_int64_QuickSortAdversary_524288 12736074 ns 23932229 ns
BM_StableSort_int64_QuickSortAdversary_1048576 22615219 ns 33355629 ns
BM_StableSort_uint64_Random_1 3.82 ns 3.49 ns
BM_StableSort_uint64_Random_4 22.4 ns 23.4 ns
BM_StableSort_uint64_Random_16 154 ns 146 ns
BM_StableSort_uint64_Random_64 924 ns 926 ns
BM_StableSort_uint64_Random_256 5864 ns 5913 ns
BM_StableSort_uint64_Random_1024 7168 ns 31746 ns
BM_StableSort_uint64_Random_4096 27668 ns 154224 ns
BM_StableSort_uint64_Random_16384 219526 ns 755205 ns
BM_StableSort_uint64_Random_65536 965251 ns 3490165 ns
BM_StableSort_uint64_Random_262144 6262162 ns 15889589 ns
BM_StableSort_uint64_Random_524288 12530078 ns 36458581 ns
BM_StableSort_uint64_Random_1048576 38462191 ns 75168445 ns
BM_StableSort_uint64_Ascending_1 3.30 ns 3.35 ns
BM_StableSort_uint64_Ascending_4 5.65 ns 5.84 ns
BM_StableSort_uint64_Ascending_16 14.7 ns 12.6 ns
BM_StableSort_uint64_Ascending_64 55.3 ns 34.6 ns
BM_StableSort_uint64_Ascending_256 513 ns 533 ns
BM_StableSort_uint64_Ascending_1024 5541 ns 3189 ns
BM_StableSort_uint64_Ascending_4096 17706 ns 20326 ns
BM_StableSort_uint64_Ascending_16384 66420 ns 93757 ns
BM_StableSort_uint64_Ascending_65536 341425 ns 435016 ns
BM_StableSort_uint64_Ascending_262144 1595691 ns 2088317 ns
BM_StableSort_uint64_Ascending_524288 3808703 ns 5092832 ns
BM_StableSort_uint64_Ascending_1048576 11060417 ns 13023250 ns
BM_StableSort_uint64_Descending_1 3.29 ns 3.35 ns
BM_StableSort_uint64_Descending_4 8.65 ns 7.92 ns
BM_StableSort_uint64_Descending_16 54.7 ns 80.2 ns
BM_StableSort_uint64_Descending_64 1028 ns 1307 ns
BM_StableSort_uint64_Descending_256 4521 ns 5635 ns
BM_StableSort_uint64_Descending_1024 7122 ns 23323 ns
BM_StableSort_uint64_Descending_4096 30538 ns 95892 ns
BM_StableSort_uint64_Descending_16384 195565 ns 392721 ns
BM_StableSort_uint64_Descending_65536 852002 ns 1720358 ns
BM_StableSort_uint64_Descending_262144 3737884 ns 7484130 ns
BM_StableSort_uint64_Descending_524288 11159345 ns 25690770 ns
BM_StableSort_uint64_Descending_1048576 20648864 ns 33057383 ns
BM_StableSort_uint64_SingleElement_1 3.62 ns 4.10 ns
BM_StableSort_uint64_SingleElement_4 6.73 ns 6.64 ns
BM_StableSort_uint64_SingleElement_16 14.9 ns 11.3 ns
BM_StableSort_uint64_SingleElement_64 52.0 ns 33.0 ns
BM_StableSort_uint64_SingleElement_256 511 ns 582 ns
BM_StableSort_uint64_SingleElement_1024 6499 ns 3287 ns
BM_StableSort_uint64_SingleElement_4096 22190 ns 17616 ns
BM_StableSort_uint64_SingleElement_16384 84378 ns 86885 ns
BM_StableSort_uint64_SingleElement_65536 466257 ns 457144 ns
BM_StableSort_uint64_SingleElement_262144 1993687 ns 2361999 ns
BM_StableSort_uint64_SingleElement_524288 4759565 ns 5096771 ns
BM_StableSort_uint64_SingleElement_1048576 12426111 ns 13468453 ns
BM_StableSort_uint64_PipeOrgan_1 3.73 ns 3.94 ns
BM_StableSort_uint64_PipeOrgan_4 7.18 ns 7.54 ns
BM_StableSort_uint64_PipeOrgan_16 25.2 ns 29.1 ns
BM_StableSort_uint64_PipeOrgan_64 260 ns 321 ns
BM_StableSort_uint64_PipeOrgan_256 2468 ns 2970 ns
BM_StableSort_uint64_PipeOrgan_1024 7025 ns 12912 ns
BM_StableSort_uint64_PipeOrgan_4096 28968 ns 53379 ns
BM_StableSort_uint64_PipeOrgan_16384 194156 ns 239790 ns
BM_StableSort_uint64_PipeOrgan_65536 599491 ns 993800 ns
BM_StableSort_uint64_PipeOrgan_262144 2648585 ns 4689680 ns
BM_StableSort_uint64_PipeOrgan_524288 7621109 ns 15401808 ns
BM_StableSort_uint64_PipeOrgan_1048576 15608814 ns 23484821 ns
BM_StableSort_uint64_QuickSortAdversary_1 3.38 ns 3.54 ns
BM_StableSort_uint64_QuickSortAdversary_4 5.50 ns 6.03 ns
BM_StableSort_uint64_QuickSortAdversary_16 14.2 ns 11.0 ns
BM_StableSort_uint64_QuickSortAdversary_64 597 ns 688 ns
BM_StableSort_uint64_QuickSortAdversary_256 2446 ns 2818 ns
BM_StableSort_uint64_QuickSortAdversary_1024 7266 ns 20319 ns
BM_StableSort_uint64_QuickSortAdversary_4096 31155 ns 89112 ns
BM_StableSort_uint64_QuickSortAdversary_16384 201033 ns 390574 ns
BM_StableSort_uint64_QuickSortAdversary_65536 871014 ns 1685639 ns
BM_StableSort_uint64_QuickSortAdversary_262144 3978535 ns 7265830 ns
BM_StableSort_uint64_QuickSortAdversary_524288 10279721 ns 25350004 ns
BM_StableSort_uint64_QuickSortAdversary_1048576 20256585 ns 33054393 ns
```
2025-01-09 19:02:35 +01:00
Vitaly Buka
570f03096a
Revert "Reapply "[libc++] Explicitly convert to masks in SIMD code ( #107983 )"" ( #122022 )
...
Reverts llvm/llvm-project#121352
Triggers "vector type should not be a bool!" on:
```
bool a[100];
bool b[100];
auto t = std::mismatch(std::begin(a), std::end(a), std::begin(b), std::end(b));
```
https://godbolt.org/z/Y73s3sdef
2025-01-08 18:14:39 +01:00
Nikolas Klauser
f69585235e
[libc++] Put _LIBCPP_NODEBUG on all internal aliases ( #118710 )
...
This significantly reduces the amount of debug information generated
for codebases using libc++, without hurting the debugging experience.
2025-01-08 11:12:59 -05:00
Vitaly Buka
ed572f2003
Reapply "[libc++] Explicitly convert to masks in SIMD code ( #107983 )" ( #121352 )
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This reverts commit 0ea40bf02138c02e7680ce6fa8169502f2a8bd42.
Passes with https://github.com/llvm/llvm-project/issues/121365 fix:
https://lab.llvm.org/buildbot/#/builders/55/builds/4930
2025-01-01 11:30:35 +01:00
Nikolas Klauser
b905bcc509
[libc++] Remove some unused includes ( #120219 )
2024-12-18 21:10:27 +01:00
Nikolas Klauser
59890c1334
[libc++] Granularize <new> includes ( #119964 )
2024-12-17 11:29:16 +01:00
Nikolas Klauser
a2042521a0
[libc++] Remove _AlgPolicy from std::copy and algorithms using std::copy ( #115887 )
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`std::copy` doesn't use the `_AlgPolicy` for anything other than calling
itself with it, so we can just remove the argument. This also removes
the need in a few other algorithms which had an `_AlgPolicy` argument
only to call `copy`.
2024-11-12 23:03:52 +01:00
Nikolas Klauser
5b67372aec
[libc++] Remove a few unused includes from <__algorithm/find_end.h>
2024-11-12 22:11:15 +01:00
Nikolas Klauser
eab7be5d42
[libc++] Forward more algorithms to the classic algorithms ( #114674 )
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This partially addresses #105687 .
2024-11-06 12:10:06 +01:00
Nikolas Klauser
c6f3b7bcd0
[libc++] Refactor the configuration macros to being always defined ( #112094 )
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This is a follow-up to #89178 . This updates the `<__config_site>`
macros.
2024-11-06 10:39:19 +01:00
Nikolas Klauser
e99c4906e4
[libc++] Granularize <cstddef> includes ( #108696 )
2024-10-31 02:20:10 +01:00
Nikolas Klauser
0fb76bae6b
Reapply "[libc++] Simplify the implementation of std::sort a bit ( #104902 )" ( #114023 )
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This reverts commit ef44e4659878f2. The patch was originally reverted
because it was
deemed to introduce a performance regression for small inputs, however
it also fixed
a previous performance regression for larger inputs. So overall, this
patch is desirable.
2024-10-30 11:51:55 +01:00
Louis Dionne
8e6bba230e
[libc++][NFC] Rename fold.h to ranges_fold.h ( #109696 )
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This follows the pattern we use consistently for ranges algorithms.
This is a re-application of 24bc3244d4e which had been reverted in
f11abac65 due to unrelated failures.
2024-09-30 08:30:16 -04:00
Chris B
f11abac652
Revert "[libc++][modules] Rewrite the modulemap to have fewer top-level modules ( #107638 )" ( #110384 )
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This reverts 3 commits:
45a09d1811d5d6597385ef02ecf2d4b7320c37c5
24bc3244d4e221f4e6740f45e2bf15a1441a3076
bc6bd3bc1e99c7ec9e22dff23b4f4373fa02cae3
The GitHub pre-merge CI has been broken since this PR went in. This
change reverts it to see if I can get the pre-merge CI working again.
2024-09-28 21:47:09 -05:00
Louis Dionne
24bc3244d4
[libc++][NFC] Rename fold.h to ranges_fold.h ( #109696 )
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This follows the pattern we use consistently for ranges algorithms.
2024-09-27 01:02:21 -04:00
Louis Dionne
ef44e46598
Revert "[libc++] Simplify the implementation of std::sort a bit ( #104902 )"
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This reverts commit d4ffccfce103b01401b8a9222e373f2d404f8439, which
caused a performance regression that needs to be investigated further.
2024-09-20 09:48:58 -04:00
Thurston Dang
0ea40bf021
Revert "[libc++] Explicitly convert to masks in SIMD code ( #107983 )"
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This reverts commit 1603f99a37c5b179a21dbb8000c39a471a950927.
Reason: buildbot breakage e.g., https://lab.llvm.org/buildbot/#/builders/55/builds/2061
llvm-libc++-shared.cfg.in :: std/algorithms/alg.nonmodifying/alg.starts_with/ranges.starts_with.pass.cpp
llvm-libc++-shared.cfg.in :: std/algorithms/alg.nonmodifying/mismatch/mismatch.pass.cpp
llvm-libc++-shared.cfg.in :: std/algorithms/alg.nonmodifying/mismatch/ranges_mismatch.pass.cpp
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(Buildbot re-run passed with the previous revision, 1fc288bf481726393c73133eef9aa73c0f78312e)
2024-09-17 21:52:33 +00:00
Nikolas Klauser
1603f99a37
[libc++] Explicitly convert to masks in SIMD code ( #107983 )
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This makes it clearer when we use masks and avoids MSan complaining.
2024-09-17 12:04:54 +02:00
