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* AArch64: Use __memcpy_simd on Neoverse N2/V1Wilco Dijkstra2020-10-142-2/+4
| | | | | | | Add CPU detection of Neoverse N2 and Neoverse V1, and select __memcpy_simd as the memcpy/memmove ifunc. Reviewed-by: Adhemerval Zanella <adhemerval.zanella@linaro.org>
* AArch64: Improve backwards memmove performanceWilco Dijkstra2020-08-281-3/+4
| | | | | | | | On some microarchitectures performance of the backwards memmove improves if the stores use STR with decreasing addresses. So change the memmove loop in memcpy_advsimd.S to use 2x STR rather than STP. Reviewed-by: Adhemerval Zanella <adhemerval.zanella@linaro.org>
* aarch64: Use future HWCAP2_MTE in ifunc resolverSzabolcs Nagy2020-07-271-2/+8
| | | | | | | | | | | Make glibc MTE-safe on systems where MTE is available. This allows using heap tagging with an LD_PRELOADed malloc implementation that enables MTE. We don't document this as guaranteed contract yet, so glibc may not be MTE safe when HWCAP2_MTE is set (older glibcs certainly aren't). This is mainly for testing and debugging. The HWCAP flag is not exposed in public headers until Linux adds it to its uapi. The HWCAP value reservation will be in Linux 5.9.
* AArch64: Improve strlen_asimd performance (bug 25824)Wilco Dijkstra2020-07-175-126/+161
| | | | | | | | | | | | | | | | | Optimize strlen using a mix of scalar and SIMD code. On modern micro architectures large strings are 2.6 times faster than existing strlen_asimd and 35% faster than the new MTE version of strlen. On a random strlen benchmark using small sizes the speedup is 7% vs strlen_asimd and 40% vs the MTE strlen. This fixes the main strlen regressions on Cortex-A53 and other cores with a simple Neon unit. Rename __strlen_generic to __strlen_mte, and select strlen_asimd when MTE is not enabled (this is waiting on support for a HWCAP_MTE bit). This fixes big-endian bug 25824. Passes GLIBC regression tests. Reviewed-by: Szabolcs Nagy <szabolcs.nagy@arm.com>
* AArch64: Rename IS_ARES to IS_NEOVERSE_N1Wilco Dijkstra2020-07-152-2/+6
| | | | | | Rename IS_ARES to IS_NEOVERSE_N1 since that is a bit clearer. Reviewed-by: Carlos O'Donell <carlos@redhat.com>
* AArch64: Add optimized Q-register memcpyWilco Dijkstra2020-07-155-4/+255
| | | | | | | | | | | | | | | | Add a new memcpy using 128-bit Q registers - this is faster on modern cores and reduces codesize. Similar to the generic memcpy, small cases include copies up to 32 bytes. 64-128 byte copies are split into two cases to improve performance of 64-96 byte copies. Large copies align the source rather than the destination. bench-memcpy-random is ~9% faster than memcpy_falkor on Neoverse N1, so make this memcpy the default on N1 (on Centriq it is 15% faster than memcpy_falkor). Passes GLIBC regression tests. Reviewed-by: Szabolcs Nagy <szabolcs.nagy@arm.com>
* aarch64: Add BTI support to assembly filesSudakshina Das2020-07-084-0/+7
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | To enable building glibc with branch protection, assembly code needs BTI landing pads and ELF object file markings in the form of a GNU property note. The landing pads are unconditionally added to all functions that may be indirectly called. When the code segment is not mapped with PROT_BTI these instructions are nops. They are kept in the code when BTI is not supported so that the layout of performance critical code is unchanged across configurations. The GNU property notes are only added when there is support for BTI in the toolchain, because old binutils does not handle the notes right. (Does not know how to merge them nor to put them in PT_GNU_PROPERTY segment instead of PT_NOTE, and some versions of binutils emit warnings about the unknown GNU property. In such cases the produced libc binaries would not have valid ELF marking so BTI would not be enabled.) Note: functions using ENTRY or ENTRY_ALIGN now start with an additional BTI c, so alignment of the following code changes, but ENTRY_ALIGN_AND_PAD was fixed so there is no change to the existing code layout. Some string functions may need to be tuned for optimal performance after this commit. Co-authored-by: Szabolcs Nagy <szabolcs.nagy@arm.com> Reviewed-by: Adhemerval Zanella <adhemerval.zanella@linaro.org>
* AArch64: Merge Falkor memcpy and memmove implementationsKrzysztof Koch2020-06-083-245/+144
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Falkor's memcpy and memmove share some implementation details, therefore, the two routines are moved to a single source file for code reuse. The two routines now share code for small and medium copies (up to and including 128 bytes). Large copies in memcpy do not handle overlap correctly, consequently, the loops for moving/copying more than 128 bytes stay separate for memcpy and memmove. To increase code reuse a number of small modifications were made: 1. The old implementation of memcpy copied the first 16-bytes as soon as the size of data was determined to be greater than 32 bytes. For memcpy code to also work when copying small/medium overlapping data, the first load and store was moved to the large copy case. 2. Medium memcpy case no longer assumes that 16 bytes were already copied and uses 8 registers to copy up to 128 bytes. 3. Small case for memmove was enlarged to that of memcpy, which is less than or equal to 32 bytes. 4. Medium case for memmove was enlarged to that of memcpy, which is less than or equal to 128 bytes. Other changes include: 1. Improve alignment of existing loop bodies. 2. 'Delouse' memmove and memcpy input arguments. Make sure that upper 32-bits of input registers are zeroed if unused. 3. Do one more iteration in memmove loops and reduce the number of copies made from the start/end of the buffer, depending on the direction of the memmove loop. Benchmarking: Looking at the results from bench-memcpy-random.out, we can see that now memmove_falkor is about 5% faster than memcpy_falkor_old, while memmove_falkor_old was more than 15% slower. The memcpy implementation remained largely unmodified, so there is no significant performance change. The reason for such a significant memmove performance gain is the increase of the upper bound on the small copy case to 32 bytes and the increase of the upper bound on the medium copy case to 128 bytes. Reviewed-by: Adhemerval Zanella <adhemerval.zanella@linaro.org>
* Update copyright dates with scripts/update-copyrights.Joseph Myers2020-01-0122-22/+22
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* aarch64: add default memcpy version for kunpeng920Xuelei Zhang2019-12-271-1/+1
| | | | Checked on aarch64-linux-gnu.
* aarch64: ifunc rename for kunpengXuelei Zhang2019-12-272-2/+2
| | | | | | | Rename ifunc for kunpeng to kunpeng920, and modify the corresponding function files including IS_KUNPENG920 judgement. Checked on aarch64-linux-gnu.
* aarch64: Optimized memset for Kunpeng processor.Xuelei Zhang2019-12-194-2/+119
| | | | | | | | | | | | | | | Due to the branch prediction issue of Kunpeng processor, we found memset_generic has poor performance on middle sizes setting, and so we reconstructed the logic, expanded the loop by 4 times in set_long to solve the problem, even when setting below 1K sizes have benefit. Another change is that DZ_ZVA seems no work when setting zero, so we discarded it and used set_long to set zero instead. Fewer branches and predictions also make the zero case have slightly improvement. Checked on aarch64-linux-gnu. Reviewed-by: Wilco Dijkstra <Wilco.Dijkstra@arm.com>
* aarch64: Optimized strlen for strlen_asimdXuelei Zhang2019-12-192-17/+29
| | | | | | | | | | | Optimize the strlen implementation by using vector operations and loop unrolling in main loop.Compared to __strlen_generic,it reduces latency of cases in bench-strlen by 7%~18% when the length of src is greater than 128 bytes, with gains throughout the benchmark. Checked on aarch64-linux-gnu. Reviewed-by: Wilco Dijkstra <Wilco.Dijkstra@arm.com>
* Prefer https to http for gnu.org and fsf.org URLsPaul Eggert2019-09-0721-21/+21
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | Also, change sources.redhat.com to sourceware.org. This patch was automatically generated by running the following shell script, which uses GNU sed, and which avoids modifying files imported from upstream: sed -ri ' s,(http|ftp)(://(.*\.)?(gnu|fsf|sourceware)\.org($|[^.]|\.[^a-z])),https\2,g s,(http|ftp)(://(.*\.)?)sources\.redhat\.com($|[^.]|\.[^a-z]),https\2sourceware.org\4,g ' \ $(find $(git ls-files) -prune -type f \ ! -name '*.po' \ ! -name 'ChangeLog*' \ ! -path COPYING ! -path COPYING.LIB \ ! -path manual/fdl-1.3.texi ! -path manual/lgpl-2.1.texi \ ! -path manual/texinfo.tex ! -path scripts/config.guess \ ! -path scripts/config.sub ! -path scripts/install-sh \ ! -path scripts/mkinstalldirs ! -path scripts/move-if-change \ ! -path INSTALL ! -path locale/programs/charmap-kw.h \ ! -path po/libc.pot ! -path sysdeps/gnu/errlist.c \ ! '(' -name configure \ -execdir test -f configure.ac -o -f configure.in ';' ')' \ ! '(' -name preconfigure \ -execdir test -f preconfigure.ac ';' ')' \ -print) and then by running 'make dist-prepare' to regenerate files built from the altered files, and then executing the following to cleanup: chmod a+x sysdeps/unix/sysv/linux/riscv/configure # Omit irrelevant whitespace and comment-only changes, # perhaps from a slightly-different Autoconf version. git checkout -f \ sysdeps/csky/configure \ sysdeps/hppa/configure \ sysdeps/riscv/configure \ sysdeps/unix/sysv/linux/csky/configure # Omit changes that caused a pre-commit check to fail like this: # remote: *** error: sysdeps/powerpc/powerpc64/ppc-mcount.S: trailing lines git checkout -f \ sysdeps/powerpc/powerpc64/ppc-mcount.S \ sysdeps/unix/sysv/linux/s390/s390-64/syscall.S # Omit change that caused a pre-commit check to fail like this: # remote: *** error: sysdeps/sparc/sparc64/multiarch/memcpy-ultra3.S: last line does not end in newline git checkout -f sysdeps/sparc/sparc64/multiarch/memcpy-ultra3.S
* aarch64: Disable using DC ZVA in emag memsetFeng Xue2019-08-142-7/+17
| | | | | | | * sysdeps/aarch64/multiarch/memset_base64.S (DC_ZVA_THRESHOLD): Disable DC ZVA code if this macro is defined as zero. * sysdeps/aarch64/multiarch/memset_emag.S (DC_ZVA_THRESHOLD): Change to zero to disable using DC ZVA.
* aarch64: thunderx2 memmove performance improvementsAnton Youdkevitch2019-05-033-362/+216
| | | | | | | | | | | | | | | | | | | | | | | | The performance improvement is about 20%-30% for larger cases and about 1%-5% for smaller cases. Used SIMD load/store instead of GPR for large overlapping forward moves. Reused existing memcpy implementation for smaller or overlapping backward moves. Fixed the existing memcpy implementation to allow it to deal with the overlapping case. Simplified loop tails in the memcpy implementation - use branchless overlapping sequence of fixed length load/stores instead of branching depending on the size. A cleanup/optimization converting str's to stp's. Added __memmove_thunderx2 to the list of the available implementations.
* aarch64: thunderx2 memcpy implementation cleanup and streamliningAnton Youdkevitch2019-04-051-21/+22
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | Here is the updated patch for improving the long unaligned code path (the one using "ext" instruction). 1. Always taken conditional branch at the beginning is removed. 2. Epilogue code is placed after the end of the loop to reduce the number of branches. 3. The redundant "mov" instructions inside the loop are gone due to the changed order of the registers in the "ext" instructions inside the loop, the prologue has additional "ext" instruction. 4.Updating count in the prologue was hoisted out as it is the same update for each prologue. 5. Invariant code of the loop epilogue was hoisted out. 6. As the current size of the ext chunk is exactly 16 instructions long "nop" was added at the beginning of the code sequence so that the loop entry for all the chunks be aligned. * sysdeps/aarch64/multiarch/memcpy_thunderx2.S: Cleanup branching and remove redundant code.
* aarch64: Optimized memchr specific to AmpereComputing emagFeng Xue2019-02-015-0/+301
| | | | | | | | | | | | | | | | | | This version uses general register based memory instruction to load data, because vector register based is slightly slower in emag. Character-matching is performed on 16-byte (both size and alignment) memory block in parallel each iteration. * sysdeps/aarch64/memchr.S (__memchr): Rename to MEMCHR. [!MEMCHR](MEMCHR): Set to __memchr. * sysdeps/aarch64/multiarch/Makefile (sysdep_routines): Add memchr_generic and memchr_nosimd. * sysdeps/aarch64/multiarch/ifunc-impl-list.c (__libc_ifunc_impl_list): Add memchr ifuncs. * sysdeps/aarch64/multiarch/memchr.c: New file. * sysdeps/aarch64/multiarch/memchr_generic.S: Likewise. * sysdeps/aarch64/multiarch/memchr_nosimd.S: Likewise.
* aarch64: Optimized memset specific to AmpereComputing emagFeng Xue2019-02-015-2/+217
| | | | | | | | | | | | | | | | | | | This version uses general register based memory store instead of vector register based, for the former is faster than the latter in emag. The fact that DC ZVA size in emag is 64-byte, is used by IFUNC dispatch to select this memset, so that cost of runtime-check on DC ZVA size can be saved. * sysdeps/aarch64/multiarch/Makefile (sysdep_routines): Add memset_emag. * sysdeps/aarch64/multiarch/ifunc-impl-list.c (__libc_ifunc_impl_list): Add __memset_emag to memset ifunc. * sysdeps/aarch64/multiarch/memset.c (libc_ifunc): Add IS_EMAG check for ifunc dispatch. * sysdeps/aarch64/multiarch/memset_base64.S: New file. * sysdeps/aarch64/multiarch/memset_emag.S: New file.
* [AArch64] Add ifunc support for AresWilco Dijkstra2019-01-091-1/+1
| | | | | | | | | | | | | | | Add Ares to the midr_el0 list and support ifunc dispatch. Since Ares supports 2 128-bit loads/stores, use Neon registers for memcpy by selecting __memcpy_falkor by default (we should rename this to __memcpy_simd or similar). * manual/tunables.texi (glibc.cpu.name): Add ares tunable. * sysdeps/aarch64/multiarch/memcpy.c (__libc_memcpy): Use __memcpy_falkor for ares. * sysdeps/unix/sysv/linux/aarch64/cpu-features.h (IS_ARES): Add new define. * sysdeps/unix/sysv/linux/aarch64/cpu-features.c (cpu_list): Add ares cpu.
* Update copyright dates with scripts/update-copyrights.Joseph Myers2019-01-0116-16/+16
| | | | | | | * All files with FSF copyright notices: Update copyright dates using scripts/update-copyrights. * locale/programs/charmap-kw.h: Regenerated. * locale/programs/locfile-kw.h: Likewise.
* Remove extra space at end of line.Steve Ellcey2018-10-161-1/+1
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* aarch64: optimized memcpy implementation for thunderx2Anton Youdkevitch2018-10-162-18/+603
| | | | | | | | | | | | | | | | Since aligned loads and stores are huge performance advantage the implementation always tries to do aligned access. Among the cases when src and dst addresses are aligned or unaligned evenly there are cases of not evenly unaligned src and dst. For such cases (if the length is big enough) ext instruction is used to merge-and-shift two memory chunks loaded from two adjacent aligned locations and then the adjusted chunk gets stored to aligned address. Performance gain against the current T2 implementation: memcpy-large: 65K-32M: +40% - +10% memcpy-walk: 128-32M: +20% - +2%
* [aarch64] Add an ASIMD variant of strlen for falkorSiddhesh Poyarekar2018-08-155-1/+254
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | This variant of strlen uses vector loads and operations to reduce the size of the code and also eliminate the non-ascii fallback. This works very well for falkor because of its two vector units and efficient vector ops. In the best case it reduces latency of cases in bench-strlen by 48%, with gains throughout the benchmark. strlen-walk also sees uniform gains in the 5%-15% range. Overall the routine appears to work better than the stock one for falkor regardless of the benchmark, length of string or cache state. The same cannot be said of a53 and a72 though. a53 performance was greatly reduced and for a72 it was a bit of a mixed bag, slightly on the negative side but I reckon it might be fast in some situations. * sysdeps/aarch64/strlen.S (__strlen): Rename to STRLEN. [!STRLEN](STRLEN): Set to __strlen. * sysdeps/aarch64/multiarch/strlen.c: New file. * sysdeps/aarch64/multiarch/strlen_generic.S: Likewise. * sysdeps/aarch64/multiarch/strlen_asimd.S: Likewise. * sysdeps/aarch64/multiarch/ifunc-impl-list.c (__libc_ifunc_impl_list): Add strlen. * sysdeps/aarch64/multiarch/Makefile (sysdep_routines): Add strlen_generic and strlen_asimd. Reviewed-By: szabolcs.nagy@arm.com CC: pinskia@gmail.com
* aarch64,falkor: Use vector registers for memcpySiddhesh Poyarekar2018-06-291-72/+65
| | | | | | | | | | | Vector registers perform better than scalar register pairs for copying data so prefer them instead. This results in a time reduction of over 50% (i.e. 2x speed improvemnet) for some smaller sizes for memcpy-walk. Larger sizes show improvements of around 1% to 2%. memcpy-random shows a very small improvement, in the range of 1-2%. * sysdeps/aarch64/multiarch/memcpy_falkor.S (__memcpy_falkor): Use vector registers.
* aarch64,falkor: Use vector registers for memmoveSiddhesh Poyarekar2018-06-291-105/+88
| | | | | | | | | | | Vector registers perform much better for moves compared to pairs of registers on falkor, so use them instead. This results in a time reduction of up to 50% (i.e. 2x improvement) for a lot of the smaller sizes, i.e. up to 1K in memmove-walk. Improvements for larger sizes are smaller, at about 1%-2%. * sysdeps/aarch64/multiarch/memmove_falkor.S (__memcpy_falkor): Use vector registers.
* aarch64: add HXT Phecda core memory operation ifuncsHongbo Zhang2018-06-123-5/+6
| | | | | | | | | | | | | | | | | | | | Phecda is HXT semiconductor's CPU core, this patch adds memory operation ifuncs for it: sharing the same optimized implementation with Qualcomm's Falkor core. 2018-06-07 Minfeng Kang <minfeng.kang@hxt-semitech.com> Hongbo Zhang <hongbo.zhang@linaro.org> * sysdeps/aarch64/multiarch/memcpy.c (libc_ifunc): reuse __memcpy_falkor for phecda core. * sysdeps/aarch64/multiarch/memmove.c (libc_ifunc): reuse __memmove_falkor for phecda core. * sysdeps/aarch64/multiarch/memset.c (libc_ifunc): reuse __memset_falkor for phecda core. * sysdeps/unix/sysv/linux/aarch64/cpu-features.c: add MIDR entry for phecda core. * sysdeps/unix/sysv/linux/aarch64/cpu-features.h (IS_PHECDA): add macro to identify phecda core.
* aarch64,falkor: Ignore prefetcher tagging for smaller copiesSiddhesh Poyarekar2018-05-111-27/+41
| | | | | | | | | | | | | | | | | | For smaller and medium sized copies, the effect of hardware prefetching are not as dominant as instruction level parallelism. Hence it makes more sense to load data into multiple registers than to try and route them to the same prefetch unit. This is also the case for the loop exit where we are unable to latch on to the same prefetch unit anyway so it makes more sense to have data loaded in parallel. The performance results are a bit mixed with memcpy-random, with numbers jumping between -1% and +3%, i.e. the numbers don't seem repeatable. memcpy-walk sees a 70% improvement (i.e. > 2x) for 128 bytes and that improvement reduces down as the impact of the tail copy decreases in comparison to the loop. * sysdeps/aarch64/multiarch/memcpy_falkor.S (__memcpy_falkor): Use multiple registers to copy data in loop tail.
* aarch64,falkor: Ignore prefetcher hints for memmove tailSiddhesh Poyarekar2018-05-111-18/+28
| | | | | | | | | | | | | | | | | | The tail of the copy loops are unable to train the falkor hardware prefetcher because they load from a different base compared to the hot loop. In this case avoid serializing the instructions by loading them into different registers. Also peel the last iteration of the loop into the tail (and have them use different registers) since it gives better performance for medium sizes. This results in performance improvements of between 3% and 20% over the current falkor implementation for sizes between 128 bytes and 1K on the memmove-walk benchmark, thus mostly covering the regressions seen against the generic memmove. * sysdeps/aarch64/multiarch/memmove_falkor.S (__memmove_falkor): Use multiple registers to move data in loop tail.
* IFUNC for Cavium ThunderX2Steve Ellcey2018-02-225-10/+51
| | | | | | | | | | | | | | | | | * sysdeps/aarch64/multiarch/Makefile (sysdep_routines): Add memcpy_thunderx2. * sysdeps/aarch64/multiarch/ifunc-impl-list.c (MAX_IFUNC): Increment to 4. (__libc_ifunc_impl_list): Add __memcpy_thunderx2. * sysdeps/aarch64/multiarch/memcpy.c (libc_ifunc): Add IS_THUNDERX2 and IS_THUNDERX2PA checks. * sysdeps/aarch64/multiarch/memcpy_thunderx.S (USE_THUNDERX2): Use macro to set name appropriately. (memcpy): Use USE_THUNDERX2 macro to modify prefetches. * sysdeps/aarch64/multiarch/memcpy_thunderx2.S: New file. * sysdeps/unix/sysv/linux/aarch64/cpu-features.h (IS_THUNDERX2PA): New macro. (IS_THUNDERX2): New macro.
* Update copyright dates with scripts/update-copyrights.Joseph Myers2018-01-0112-12/+12
| | | | | | | * All files with FSF copyright notices: Update copyright dates using scripts/update-copyrights. * locale/programs/charmap-kw.h: Regenerated. * locale/programs/locfile-kw.h: Likewise.
* aarch64: Avoid hidden symbols for memcpy/memmove into static binariesSiddhesh Poyarekar2017-12-041-0/+2
| | | | | | | | | | | The __GI_* symbol aliases for __memcpy_generic are unnecessary since they're never used. Add them only for libc.so to avoid PLT. Maybe some time in future we need to evaluate the relative cost of PLT vs gains from multiarch memcpy implementations and take a call on whether to drop this completely. * sysdeps/aarch64/multiarch/memcpy_generic.S (__GI_memcpy): Define only for libc.so.
* aarch64: Optimized memset for falkorSiddhesh Poyarekar2017-11-207-4/+154
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | The generic memset reads dczid_el0 on every memset. This has a significant impact on falkor for a range of sizes because reading dczid_el0 is slow. The DZP bit in the dczid_el0 register does not change dynamically, so it is safe to read once during program startup. With this patch dczid_el0 is read once during startup and zva_size is cached. This is used to invoke the falkor-specific memset; the generic memset routine remains unchanged. The gains due to this are significant for falkor, with run time reductions as high as 48%. Here's a sample from the falkor tests: Function: memset Variant: walk simple_memset __memset_falkor __memset_generic ===================================================================== length=256, char=0: 139.96 (-698.28%) 9.07 ( 48.26%) 17.53 length=257, char=0: 140.50 (-699.03%) 9.53 ( 45.80%) 17.58 length=258, char=0: 140.96 (-703.95%) 9.58 ( 45.36%) 17.53 length=259, char=0: 141.56 (-705.16%) 9.53 ( 45.79%) 17.58 length=260, char=0: 142.15 (-710.76%) 9.57 ( 45.39%) 17.53 length=261, char=0: 142.50 (-710.39%) 9.53 ( 45.78%) 17.58 length=262, char=0: 142.97 (-715.09%) 9.57 ( 45.42%) 17.54 length=263, char=0: 143.51 (-716.18%) 9.53 ( 45.80%) 17.58 length=264, char=0: 143.93 (-720.55%) 9.58 ( 45.39%) 17.54 length=265, char=0: 144.56 (-722.07%) 9.53 ( 45.80%) 17.59 length=266, char=0: 144.98 (-726.42%) 9.58 ( 45.42%) 17.54 length=267, char=0: 145.53 (-727.53%) 9.53 ( 45.80%) 17.59 length=268, char=0: 146.25 (-731.81%) 9.53 ( 45.79%) 17.58 length=269, char=0: 146.52 (-735.39%) 9.53 ( 45.66%) 17.54 length=270, char=0: 146.97 (-735.81%) 9.53 ( 45.80%) 17.58 length=271, char=0: 147.54 (-741.08%) 9.58 ( 45.38%) 17.54 length=512, char=0: 268.26 (-1307.85%) 12.06 ( 36.71%) 19.05 length=513, char=0: 268.73 (-1273.89%) 13.56 ( 30.68%) 19.56 length=514, char=0: 269.31 (-1276.89%) 13.56 ( 30.68%) 19.56 length=515, char=0: 269.73 (-1279.05%) 13.56 ( 30.68%) 19.56 length=516, char=0: 270.34 (-1282.24%) 13.56 ( 30.67%) 19.56 length=517, char=0: 270.83 (-1284.71%) 13.56 ( 30.66%) 19.56 length=518, char=0: 271.20 (-1286.54%) 13.56 ( 30.67%) 19.56 length=519, char=0: 271.67 (-1288.67%) 13.65 ( 30.24%) 19.56 length=520, char=0: 272.14 (-1291.04%) 13.65 ( 30.22%) 19.56 length=521, char=0: 272.66 (-1293.69%) 13.65 ( 30.23%) 19.56 length=522, char=0: 273.14 (-1296.13%) 13.65 ( 30.20%) 19.56 length=523, char=0: 273.64 (-1298.75%) 13.65 ( 30.23%) 19.56 length=524, char=0: 274.34 (-1302.16%) 13.66 ( 30.20%) 19.57 length=525, char=0: 274.64 (-1297.78%) 13.56 ( 30.99%) 19.65 length=526, char=0: 275.20 (-1300.04%) 13.56 ( 31.01%) 19.66 length=527, char=0: 275.66 (-1302.86%) 13.56 ( 30.99%) 19.65 length=1024, char=0: 524.46 (-2169.75%) 20.12 ( 12.92%) 23.11 length=1025, char=0: 525.14 (-2124.63%) 21.62 ( 8.40%) 23.61 length=1026, char=0: 525.59 (-2125.36%) 21.88 ( 7.37%) 23.62 length=1027, char=0: 525.98 (-2127.14%) 21.62 ( 8.46%) 23.62 length=1028, char=0: 526.68 (-2131.10%) 21.62 ( 8.42%) 23.61 length=1029, char=0: 527.10 (-2131.70%) 21.79 ( 7.73%) 23.62 length=1030, char=0: 527.54 (-2118.51%) 21.62 ( 9.10%) 23.78 length=1031, char=0: 527.98 (-2136.37%) 21.62 ( 8.43%) 23.61 length=1032, char=0: 528.70 (-2139.38%) 21.62 ( 8.43%) 23.61 length=1033, char=0: 529.25 (-2124.37%) 21.62 ( 9.11%) 23.79 length=1034, char=0: 529.48 (-2142.95%) 21.62 ( 8.43%) 23.61 length=1035, char=0: 530.11 (-2145.13%) 21.62 ( 8.44%) 23.61 length=1036, char=0: 530.76 (-2147.10%) 21.79 ( 7.73%) 23.62 length=1037, char=0: 531.03 (-2149.45%) 21.62 ( 8.42%) 23.61 length=1038, char=0: 531.64 (-2151.87%) 21.62 ( 8.42%) 23.61 length=1039, char=0: 531.99 (-2151.63%) 21.80 ( 7.75%) 23.63 * sysdeps/aarch64/memset-reg.h: New file. * sysdeps/aarch64/memset.S: Use it. (__memset): Rename to MEMSET macro. [ZVA_MACRO]: Use zva_macro. * sysdeps/aarch64/multiarch/Makefile (sysdep_routines): Add memset_generic and memset_falkor. * sysdeps/aarch64/multiarch/ifunc-impl-list.c (__libc_ifunc_impl_list): Add memset ifuncs. * sysdeps/aarch64/multiarch/init-arch.h (INIT_ARCH): New local variable zva_size. * sysdeps/aarch64/multiarch/memset.c: New file. * sysdeps/aarch64/multiarch/memset_generic.S: New file. * sysdeps/aarch64/multiarch/memset_falkor.S: New file. * sysdeps/aarch64/multiarch/rtld-memset.S: New file. * sysdeps/unix/sysv/linux/aarch64/cpu-features.c (DCZID_DZP_MASK): New macro. (DCZID_BS_MASK): Likewise. (init_cpu_features): Read and set zva_size. * sysdeps/unix/sysv/linux/aarch64/cpu-features.h (struct cpu_features): New member zva_size.
* aarch64: Optimized implementation of memmove for Qualcomm FalkorSiddhesh Poyarekar2017-10-054-2/+241
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This is an optimized memmove implementation for the Qualcomm Falkor processor core. Due to the way the falkor memcpy needs to be written, code cannot be easily shared between memmove and memcpy like in case of other aarch64 memcpy implementations due to which this routine is separate. The underlying principle is the same as that of memcpy where it tries to use registers with the same lower 4 bits for fetching the same stream, thus optimizing hardware prefetcher performance. The memcpy copy loop copies 64 bytes at a time using the same register pair since that's the way to train the hardware prefetcher on the falkor core. memmove cannot quite do that since it needs to avoid overlaps, so it does the next best thing, i.e. has a 32 byte loop with a 32 byte end (prefetch a loop ahead to account for overlapping locations) with register pairs that alias so that they hit the same prefetcher. Due to this difference in loop size, they have to currently be separate implementations but efforts are on to try and get memmove to fall back into memcpy whenever it can without simply duplicating all of the code. Performance: The routine fares around 20-25% better than the generic memmove for most medium to large sizes (i.e. > 128 bytes) for the new walking memmove benchmark (memmove-walk) with an unexplained regression between 1K and 2K. The minor regression is something worth looking into for us, but the remaining gains are significant enough that we would like this included upstream as we looking into the cause for the regression. Here is a snippet of the numbers as generated from the microbenchmark by the compare_strings script. Comparisons are against __memmove_generic: Function: memmove Variant: walk __memmove_thunderx __memmove_falkor __memmove_generic ======================================================================================================================== <snip> length=16384: 12508800.00 ( 6.09%) 11486800.00 ( 13.76%) 13319600.00 length=16400: 13614200.00 ( -0.67%) 11585000.00 ( 14.33%) 13523600.00 length=16385: 13448400.00 ( 0.10%) 11732700.00 ( 12.84%) 13461200.00 length=16399: 13594100.00 ( -0.22%) 11859600.00 ( 12.57%) 13564400.00 length=16386: 13211600.00 ( 1.13%) 11503800.00 ( 13.91%) 13362400.00 length=16398: 13218600.00 ( 2.12%) 11573200.00 ( 14.30%) 13504700.00 length=16387: 13510900.00 ( -0.37%) 11744200.00 ( 12.76%) 13461300.00 length=16397: 13603700.00 ( -0.15%) 11878200.00 ( 12.55%) 13583200.00 length=16388: 13461700.00 ( -0.13%) 11558000.00 ( 14.03%) 13444100.00 length=16396: 13517500.00 ( -0.03%) 11561300.00 ( 14.45%) 13513900.00 length=16389: 13534100.00 ( 0.17%) 11756800.00 ( 13.28%) 13556900.00 length=16395: 13585600.00 ( 0.11%) 11791800.00 ( 13.30%) 13601200.00 length=16390: 13480100.00 ( -0.13%) 11685500.00 ( 13.20%) 13462100.00 length=16394: 13529900.00 ( -0.23%) 11549800.00 ( 14.43%) 13498200.00 length=16391: 13595400.00 ( -0.26%) 11768200.00 ( 13.22%) 13560600.00 length=16393: 13567000.00 ( 0.20%) 11779700.00 ( 13.35%) 13594700.00 length=32768: 71308800.00 ( -6.53%) 50220800.00 ( 24.98%) 66939200.00 length=32784: 72100800.00 (-11.55%) 50114100.00 ( 22.47%) 64636300.00 length=32769: 71767000.00 ( -7.10%) 51238400.00 ( 23.54%) 67010000.00 length=32783: 70113700.00 (-40.95%) 51129000.00 ( -2.78%) 49744400.00 length=32770: 71367600.00 ( -6.52%) 50244700.00 ( 25.01%) 67000900.00 length=32782: 64366700.00 ( 4.71%) 50101400.00 ( 25.83%) 67545600.00 length=32771: 71440100.00 ( -6.51%) 51263900.00 ( 23.57%) 67074900.00 length=32781: 66993000.00 ( 0.34%) 51108300.00 ( 23.97%) 67220300.00 length=32772: 71443900.00 (-60.50%) 50062100.00 (-12.47%) 44512600.00 length=32780: 71759100.00 ( -6.58%) 50263200.00 ( 25.35%) 67328600.00 length=32773: 71714900.00 (-33.21%) 51076600.00 ( 5.12%) 53835400.00 length=32779: 71756900.00 ( -6.56%) 51290800.00 ( 23.83%) 67337800.00 length=32774: 59689300.00 (-34.55%) 50068400.00 (-12.86%) 44363300.00 length=32778: 71847500.00 (-18.20%) 50084100.00 ( 17.61%) 60786500.00 length=32775: 71599300.00 ( -6.54%) 51278200.00 ( 23.70%) 67204800.00 length=32777: 71862900.00 (-60.85%) 51094000.00 (-14.36%) 44677900.00 length=65536: 282848000.00 ( -6.60%) 199187000.00 ( 24.93%) 265325000.00 length=65552: 243285000.00 (-41.61%) 198512000.00 (-15.54%) 171805000.00 length=65537: 255415000.00 (-23.47%) 202499000.00 ( 2.11%) 206858000.00 length=65551: 280122000.00 (-62.95%) 203349000.00 (-18.29%) 171911000.00 length=65538: 283676000.00 (-14.46%) 198368000.00 ( 19.96%) 247848000.00 length=65550: 275566000.00 (-51.76%) 198494000.00 ( -9.31%) 181581000.00 length=65539: 283699000.00 ( -6.58%) 203453000.00 ( 23.57%) 266195000.00 length=65549: 286572000.00 ( -6.65%) 202607000.00 ( 24.60%) 268712000.00 length=65540: 283710000.00 ( -6.59%) 199161000.00 ( 25.17%) 266160000.00 length=65548: 237573000.00 ( 11.48%) 198462000.00 ( 26.06%) 268395000.00 length=65541: 284150000.00 ( -6.58%) 203273000.00 ( 23.75%) 266600000.00 length=65547: 286250000.00 ( -6.70%) 202594000.00 ( 24.48%) 268263000.00 length=65542: 284167000.00 ( -6.60%) 199122000.00 ( 25.31%) 266584000.00 length=65546: 285656000.00 ( -6.59%) 198443000.00 ( 25.95%) 268002000.00 length=65543: 284600000.00 ( -6.58%) 203247000.00 ( 23.89%) 267030000.00 length=65545: 285665000.00 ( -6.40%) 202575000.00 ( 24.55%) 268472000.00 <snip> * sysdeps/aarch64/multiarch/Makefile (sysdep_routines): Add memmove_falkor. * sysdeps/aarch64/multiarch/ifunc-impl-list.c (__libc_ifunc_impl_list): Likewise. * sysdeps/aarch64/multiarch/memmove.c: Likewise. * sysdeps/aarch64/multiarch/memmove_falkor.S: New file.
* memcpy_falkor: Fix code style in commentsSiddhesh Poyarekar2017-08-091-7/+4
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* aarch64: Optimized memcpy for Qualcomm Falkor processorSiddhesh Poyarekar2017-08-094-3/+196
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | This is an optimized implementation of the memcpy routine that gives a significant gain in performance for all sizes of copies on the Qualcomm Falkor processor. A detailed rationale of the implementation is written in a comment in the patch. This implementation improves time for copies up to 128 bytes by up to 15% and for larger copies by up to 35% in the glibc microbenchmark. The memcpy-random benchmark sees improvements in all sizes in the range of 13%-18%. Here are the full numbers extracted from the glibc microbenchmark using the commands: ../benchtests/scripts/compare_strings.py benchtests/bench-memcpy.out \ ../benchtests/scripts/benchout_strings.schema.json \ -base=__memcpy_generic length align1 align2 ../benchtests/scripts/compare_strings.py benchtests/bench-memcpy-large.out \ ../benchtests/scripts/benchout_strings.schema.json \ -base=__memcpy_generic length align1 align2 ../benchtests/scripts/compare_strings.py benchtests/bench-memcpy-random.out \ ../benchtests/scripts/benchout_strings.schema.json \ -base=__memcpy_generic max-size Function: memcpy __memcpy_thunderx __memcpy_falkor __memcpy_generic Variant: default ================================================================================ length=1,align1=0,align2=0: 33.59 (-115.00%) 15.62 (0.00%) 15.62 length=1,align1=0,align2=0: 16.41 (-10.53%) 14.06 (5.26%) 14.84 length=1,align1=0,align2=0: 14.84 (0.00%) 14.84 (0.00%) 14.84 length=1,align1=0,align2=0: 15.62 (-5.26%) 14.06 (5.26%) 14.84 length=2,align1=0,align2=0: 15.62 (-5.26%) 14.06 (5.26%) 14.84 length=2,align1=1,align2=0: 15.62 (-5.26%) 14.06 (5.26%) 14.84 length=2,align1=0,align2=1: 14.84 (0.00%) 14.06 (5.26%) 14.84 length=2,align1=1,align2=1: 14.84 (-5.56%) 14.06 (0.00%) 14.06 length=4,align1=0,align2=0: 14.06 (0.00%) 14.06 (0.00%) 14.06 length=4,align1=2,align2=0: 14.06 (-5.88%) 14.06 (-5.88%) 13.28 length=4,align1=0,align2=2: 14.06 (0.00%) 14.06 (0.00%) 14.06 length=4,align1=2,align2=2: 14.06 (-5.88%) 14.06 (-5.88%) 13.28 length=8,align1=0,align2=0: 14.84 (-5.56%) 13.28 (5.56%) 14.06 length=8,align1=3,align2=0: 14.06 (0.00%) 13.28 (5.56%) 14.06 length=8,align1=0,align2=3: 13.28 (0.00%) 13.28 (0.00%) 13.28 length=8,align1=3,align2=3: 13.28 (-6.25%) 13.28 (-6.25%) 12.50 length=16,align1=0,align2=0: 13.28 (0.00%) 13.28 (0.00%) 13.28 length=16,align1=4,align2=0: 13.28 (0.00%) 12.50 (5.88%) 13.28 length=16,align1=0,align2=4: 13.28 (0.00%) 13.28 (0.00%) 13.28 length=16,align1=4,align2=4: 13.28 (-6.25%) 12.50 (0.00%) 12.50 length=32,align1=0,align2=0: 14.06 (0.00%) 12.50 (11.11%) 14.06 length=32,align1=5,align2=0: 13.28 (0.00%) 12.50 (5.88%) 13.28 length=32,align1=0,align2=5: 14.06 (-5.88%) 12.50 (5.88%) 13.28 length=32,align1=5,align2=5: 14.06 (-5.88%) 12.50 (5.88%) 13.28 length=64,align1=0,align2=0: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=64,align1=6,align2=0: 13.28 (0.00%) 13.28 (0.00%) 13.28 length=64,align1=0,align2=6: 14.06 (5.26%) 14.06 (5.26%) 14.84 length=64,align1=6,align2=6: 14.84 (-11.77%) 14.06 (-5.88%) 13.28 length=128,align1=0,align2=0: 17.19 (-4.76%) 14.84 (9.52%) 16.41 length=128,align1=7,align2=0: 16.41 (4.55%) 15.62 (9.09%) 17.19 length=128,align1=0,align2=7: 16.41 (0.00%) 14.06 (14.29%) 16.41 length=128,align1=7,align2=7: 16.41 (4.55%) 15.62 (9.09%) 17.19 length=256,align1=0,align2=0: 21.88 (-3.70%) 21.09 (0.00%) 21.09 length=256,align1=8,align2=0: 21.09 (-3.85%) 21.09 (-3.85%) 20.31 length=256,align1=0,align2=8: 20.31 (-4.00%) 20.31 (-4.00%) 19.53 length=256,align1=8,align2=8: 21.88 (-7.69%) 20.31 (0.00%) 20.31 length=512,align1=0,align2=0: 28.91 (-2.78%) 28.91 (-2.78%) 28.12 length=512,align1=9,align2=0: 30.47 (-2.63%) 30.47 (-2.63%) 29.69 length=512,align1=0,align2=9: 29.69 (0.00%) 29.69 (0.00%) 29.69 length=512,align1=9,align2=9: 28.12 (-2.86%) 28.12 (-2.86%) 27.34 length=1024,align1=0,align2=0: 44.53 (0.00%) 44.53 (0.00%) 44.53 length=1024,align1=10,align2=0: 50.00 (0.00%) 50.00 (0.00%) 50.00 length=1024,align1=0,align2=10: 49.22 (1.56%) 50.78 (-1.56%) 50.00 length=1024,align1=10,align2=10: 44.53 (-1.79%) 43.75 (0.00%) 43.75 length=2048,align1=0,align2=0: 77.34 (-1.02%) 76.56 (0.00%) 76.56 length=2048,align1=11,align2=0: 89.84 (0.00%) 89.84 (0.00%) 89.84 length=2048,align1=0,align2=11: 89.84 (0.00%) 89.84 (0.00%) 89.84 length=2048,align1=11,align2=11: 75.78 (0.00%) 75.78 (0.00%) 75.78 length=4096,align1=0,align2=0: 141.41 (-0.56%) 140.62 (0.00%) 140.62 length=4096,align1=12,align2=0: 171.09 (-0.46%) 170.31 (0.00%) 170.31 length=4096,align1=0,align2=12: 170.31 (0.00%) 170.31 (0.00%) 170.31 length=4096,align1=12,align2=12: 140.62 (0.00%) 140.62 (0.00%) 140.62 length=8192,align1=0,align2=0: 278.91 (-0.28%) 275.78 (0.84%) 278.12 length=8192,align1=13,align2=0: 338.28 (0.23%) 335.94 (0.92%) 339.06 length=8192,align1=0,align2=13: 338.28 (0.00%) 455.47 (-34.64%) 338.28 length=8192,align1=13,align2=13: 278.12 (-0.28%) 275.78 (0.56%) 277.34 length=16384,align1=0,align2=0: 535.94 (-0.15%) 531.25 (0.73%) 535.16 length=16384,align1=14,align2=0: 659.38 (0.12%) 659.38 (0.12%) 660.16 length=16384,align1=0,align2=14: 659.38 (0.00%) 657.03 (0.36%) 659.38 length=16384,align1=14,align2=14: 535.16 (0.44%) 532.81 (0.87%) 537.50 length=32768,align1=0,align2=0: 1260.94 (10.68%) 1121.88 (20.53%) 1411.72 length=32768,align1=15,align2=0: 1368.75 (10.02%) 1376.56 (9.50%) 1521.09 length=32768,align1=0,align2=15: 1333.59 (10.91%) 1373.44 (8.25%) 1496.88 length=32768,align1=15,align2=15: 1256.25 (13.96%) 1125.78 (22.90%) 1460.16 length=65536,align1=0,align2=0: 2853.91 (30.11%) 2589.06 (36.60%) 4083.59 length=65536,align1=16,align2=0: 2850.00 (30.14%) 2589.84 (36.52%) 4079.69 length=65536,align1=0,align2=16: 2853.12 (30.60%) 2589.84 (37.00%) 4110.94 length=65536,align1=16,align2=16: 2850.78 (30.07%) 2589.06 (36.49%) 4076.56 length=0,align1=0,align2=0: 15.62 (-5.26%) 16.41 (-10.53%) 14.84 length=0,align1=0,align2=0: 14.84 (-5.56%) 14.84 (-5.56%) 14.06 length=0,align1=0,align2=0: 14.84 (0.00%) 14.84 (0.00%) 14.84 length=0,align1=0,align2=0: 16.41 (-16.67%) 14.84 (-5.56%) 14.06 length=1,align1=0,align2=0: 15.62 (4.76%) 15.62 (4.76%) 16.41 length=1,align1=1,align2=0: 15.62 (0.00%) 14.84 (5.00%) 15.62 length=1,align1=0,align2=1: 14.84 (0.00%) 14.84 (0.00%) 14.84 length=1,align1=1,align2=1: 14.84 (0.00%) 14.06 (5.26%) 14.84 length=2,align1=0,align2=0: 14.84 (0.00%) 14.06 (5.26%) 14.84 length=2,align1=2,align2=0: 14.84 (0.00%) 14.06 (5.26%) 14.84 length=2,align1=0,align2=2: 14.84 (-5.56%) 14.06 (0.00%) 14.06 length=2,align1=2,align2=2: 14.84 (0.00%) 14.06 (5.26%) 14.84 length=3,align1=0,align2=0: 14.84 (0.00%) 14.84 (0.00%) 14.84 length=3,align1=3,align2=0: 14.84 (-5.56%) 14.06 (0.00%) 14.06 length=3,align1=0,align2=3: 15.62 (-11.11%) 14.06 (0.00%) 14.06 length=3,align1=3,align2=3: 14.84 (0.00%) 14.06 (5.26%) 14.84 length=4,align1=0,align2=0: 17.97 (-27.78%) 14.06 (0.00%) 14.06 length=4,align1=4,align2=0: 13.28 (5.56%) 14.06 (0.00%) 14.06 length=4,align1=0,align2=4: 14.06 (0.00%) 13.28 (5.56%) 14.06 length=4,align1=4,align2=4: 13.28 (5.56%) 13.28 (5.56%) 14.06 length=5,align1=0,align2=0: 13.28 (5.56%) 13.28 (5.56%) 14.06 length=5,align1=5,align2=0: 14.06 (0.00%) 14.06 (0.00%) 14.06 length=5,align1=0,align2=5: 14.06 (0.00%) 13.28 (5.56%) 14.06 length=5,align1=5,align2=5: 14.06 (-5.88%) 14.06 (-5.88%) 13.28 length=6,align1=0,align2=0: 14.06 (-5.88%) 14.06 (-5.88%) 13.28 length=6,align1=6,align2=0: 14.06 (0.00%) 14.06 (0.00%) 14.06 length=6,align1=0,align2=6: 14.06 (0.00%) 13.28 (5.56%) 14.06 length=6,align1=6,align2=6: 14.06 (0.00%) 13.28 (5.56%) 14.06 length=7,align1=0,align2=0: 14.84 (-11.77%) 14.06 (-5.88%) 13.28 length=7,align1=7,align2=0: 13.28 (0.00%) 14.06 (-5.88%) 13.28 length=7,align1=0,align2=7: 14.06 (0.00%) 14.06 (0.00%) 14.06 length=7,align1=7,align2=7: 14.06 (0.00%) 14.06 (0.00%) 14.06 length=8,align1=0,align2=0: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=8,align1=8,align2=0: 14.06 (0.00%) 13.28 (5.56%) 14.06 length=8,align1=0,align2=8: 13.28 (0.00%) 13.28 (0.00%) 13.28 length=8,align1=8,align2=8: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=9,align1=0,align2=0: 13.28 (0.00%) 13.28 (0.00%) 13.28 length=9,align1=9,align2=0: 13.28 (0.00%) 13.28 (0.00%) 13.28 length=9,align1=0,align2=9: 13.28 (0.00%) 14.06 (-5.88%) 13.28 length=9,align1=9,align2=9: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=10,align1=0,align2=0: 14.06 (0.00%) 13.28 (5.56%) 14.06 length=10,align1=10,align2=0: 14.06 (-5.88%) 14.06 (-5.88%) 13.28 length=10,align1=0,align2=10: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=10,align1=10,align2=10: 14.06 (0.00%) 13.28 (5.56%) 14.06 length=11,align1=0,align2=0: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=11,align1=11,align2=0: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=11,align1=0,align2=11: 13.28 (0.00%) 13.28 (0.00%) 13.28 length=11,align1=11,align2=11: 13.28 (0.00%) 13.28 (0.00%) 13.28 length=12,align1=0,align2=0: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=12,align1=12,align2=0: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=12,align1=0,align2=12: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=12,align1=12,align2=12: 14.06 (0.00%) 13.28 (5.56%) 14.06 length=13,align1=0,align2=0: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=13,align1=13,align2=0: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=13,align1=0,align2=13: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=13,align1=13,align2=13: 13.28 (0.00%) 13.28 (0.00%) 13.28 length=14,align1=0,align2=0: 13.28 (0.00%) 13.28 (0.00%) 13.28 length=14,align1=14,align2=0: 13.28 (5.56%) 13.28 (5.56%) 14.06 length=14,align1=0,align2=14: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=14,align1=14,align2=14: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=15,align1=0,align2=0: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=15,align1=15,align2=0: 14.06 (-5.88%) 14.06 (-5.88%) 13.28 length=15,align1=0,align2=15: 13.28 (0.00%) 13.28 (0.00%) 13.28 length=15,align1=15,align2=15: 13.28 (0.00%) 14.06 (-5.88%) 13.28 length=16,align1=0,align2=0: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=16,align1=16,align2=0: 13.28 (5.56%) 14.06 (0.00%) 14.06 length=16,align1=0,align2=16: 14.84 (-11.77%) 13.28 (0.00%) 13.28 length=16,align1=16,align2=16: 13.28 (-6.25%) 12.50 (0.00%) 12.50 length=17,align1=0,align2=0: 14.06 (-5.88%) 12.50 (5.88%) 13.28 length=17,align1=17,align2=0: 14.84 (-11.77%) 12.50 (5.88%) 13.28 length=17,align1=0,align2=17: 14.84 (-5.56%) 12.50 (11.11%) 14.06 length=17,align1=17,align2=17: 14.84 (-11.77%) 12.50 (5.88%) 13.28 length=18,align1=0,align2=0: 14.06 (0.00%) 12.50 (11.11%) 14.06 length=18,align1=18,align2=0: 13.28 (5.56%) 12.50 (11.11%) 14.06 length=18,align1=0,align2=18: 14.06 (-5.88%) 12.50 (5.88%) 13.28 length=18,align1=18,align2=18: 14.06 (0.00%) 12.50 (11.11%) 14.06 length=19,align1=0,align2=0: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=19,align1=19,align2=0: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=19,align1=0,align2=19: 14.84 (-5.56%) 12.50 (11.11%) 14.06 length=19,align1=19,align2=19: 14.06 (-5.88%) 12.50 (5.88%) 13.28 length=20,align1=0,align2=0: 14.84 (-11.77%) 12.50 (5.88%) 13.28 length=20,align1=20,align2=0: 14.06 (0.00%) 12.50 (11.11%) 14.06 length=20,align1=0,align2=20: 14.06 (-5.88%) 12.50 (5.88%) 13.28 length=20,align1=20,align2=20: 14.06 (0.00%) 13.28 (5.56%) 14.06 length=21,align1=0,align2=0: 14.84 (-5.56%) 12.50 (11.11%) 14.06 length=21,align1=21,align2=0: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=21,align1=0,align2=21: 14.84 (-11.77%) 12.50 (5.88%) 13.28 length=21,align1=21,align2=21: 13.28 (5.56%) 13.28 (5.56%) 14.06 length=22,align1=0,align2=0: 14.06 (-5.88%) 12.50 (5.88%) 13.28 length=22,align1=22,align2=0: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=22,align1=0,align2=22: 14.06 (0.00%) 12.50 (11.11%) 14.06 length=22,align1=22,align2=22: 14.06 (0.00%) 12.50 (11.11%) 14.06 length=23,align1=0,align2=0: 14.06 (-5.88%) 12.50 (5.88%) 13.28 length=23,align1=23,align2=0: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=23,align1=0,align2=23: 14.06 (-5.88%) 12.50 (5.88%) 13.28 length=23,align1=23,align2=23: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=24,align1=0,align2=0: 14.06 (-5.88%) 12.50 (5.88%) 13.28 length=24,align1=24,align2=0: 14.06 (0.00%) 13.28 (5.56%) 14.06 length=24,align1=0,align2=24: 14.84 (-11.77%) 12.50 (5.88%) 13.28 length=24,align1=24,align2=24: 14.06 (-5.88%) 13.28 (0.00%) 13.28 length=25,align1=0,align2=0: 14.06 (0.00%) 12.50 (11.11%) 14.06 length=25,align1=25,align2=0: 14.06 (0.00%) 13.28 (5.56%) 14.06 length=25,align1=0,align2=25: 14.06 (0.00%) 12.50 (11.11%) 14.06 length=25,align1=25,align2=25: 13.28 (0.00%) 13.28 (0.00%) 13.28 length=26,align1=0,align2=0: 14.06 (-5.88%) 12.50 (5.88%) 13.28 length=26,align1=26,align2=0: 14.06 (0.00%) 13.28 (5.56%) 14.06 length=26,align1=0,align2=26: 14.06 (-5.88%) 12.50 (5.88%) 13.28 length=26,align1=26,align2=26: 14.06 (0.00%) 13.28 (5.56%) 14.06 length=27,align1=0,align2=0: 14.06 (-5.88%) 12.50 (5.88%) 13.28 length=27,align1=27,align2=0: 14.06 (-5.88%) 12.50 (5.88%) 13.28 length=27,align1=0,align2=27: 14.06 (-5.88%) 12.50 (5.88%) 13.28 length=27,align1=27,align2=27: 14.06 (0.00%) 12.50 (11.11%) 14.06 length=28,align1=0,align2=0: 14.06 (-5.88%) 12.50 (5.88%) 13.28 length=28,align1=28,align2=0: 14.06 (0.00%) 12.50 (11.11%) 14.06 length=28,align1=0,align2=28: 14.06 (0.00%) 12.50 (11.11%) 14.06 length=28,align1=28,align2=28: 14.84 (-11.77%) 13.28 (0.00%) 13.28 length=29,align1=0,align2=0: 14.06 (-5.88%) 12.50 (5.88%) 13.28 length=29,align1=29,align2=0: 13.28 (0.00%) 12.50 (5.88%) 13.28 length=29,align1=0,align2=29: 14.06 (0.00%) 12.50 (11.11%) 14.06 length=29,align1=29,align2=29: 13.28 (5.56%) 12.50 (11.11%) 14.06 length=30,align1=0,align2=0: 14.06 (-5.88%) 12.50 (5.88%) 13.28 length=30,align1=30,align2=0: 13.28 (5.56%) 12.50 (11.11%) 14.06 length=30,align1=0,align2=30: 14.06 (-5.88%) 12.50 (5.88%) 13.28 length=30,align1=30,align2=30: 13.28 (0.00%) 12.50 (5.88%) 13.28 length=31,align1=0,align2=0: 13.28 (0.00%) 12.50 (5.88%) 13.28 length=31,align1=31,align2=0: 14.06 (0.00%) 12.50 (11.11%) 14.06 length=31,align1=0,align2=31: 13.28 (0.00%) 12.50 (5.88%) 13.28 length=31,align1=31,align2=31: 14.06 (0.00%) 12.50 (11.11%) 14.06 length=48,align1=0,align2=0: 14.06 (0.00%) 14.06 (0.00%) 14.06 length=48,align1=3,align2=0: 14.06 (0.00%) 14.06 (0.00%) 14.06 length=48,align1=0,align2=3: 14.06 (-5.88%) 14.06 (-5.88%) 13.28 length=48,align1=3,align2=3: 13.28 (5.56%) 14.06 (0.00%) 14.06 length=80,align1=0,align2=0: 15.62 (-11.11%) 14.84 (-5.56%) 14.06 length=80,align1=5,align2=0: 15.62 (-11.11%) 16.41 (-16.67%) 14.06 length=80,align1=0,align2=5: 14.06 (0.00%) 15.62 (-11.11%) 14.06 length=80,align1=5,align2=5: 15.62 (-5.26%) 17.19 (-15.79%) 14.84 length=96,align1=0,align2=0: 14.06 (0.00%) 14.84 (-5.56%) 14.06 length=96,align1=6,align2=0: 14.84 (-5.56%) 16.41 (-16.67%) 14.06 length=96,align1=0,align2=6: 14.06 (0.00%) 14.84 (-5.56%) 14.06 length=96,align1=6,align2=6: 14.84 (-5.56%) 17.19 (-22.22%) 14.06 length=112,align1=0,align2=0: 17.19 (-4.76%) 14.06 (14.29%) 16.41 length=112,align1=7,align2=0: 17.19 (0.00%) 16.41 (4.55%) 17.19 length=112,align1=0,align2=7: 16.41 (0.00%) 14.84 (9.52%) 16.41 length=112,align1=7,align2=7: 17.19 (0.00%) 17.19 (0.00%) 17.19 length=144,align1=0,align2=0: 17.19 (-10.00%) 17.97 (-15.00%) 15.62 length=144,align1=9,align2=0: 17.19 (-4.76%) 18.75 (-14.29%) 16.41 length=144,align1=0,align2=9: 20.31 (-8.33%) 18.75 (0.00%) 18.75 length=144,align1=9,align2=9: 18.75 (-4.35%) 18.75 (-4.35%) 17.97 length=160,align1=0,align2=0: 18.75 (-4.35%) 17.97 (0.00%) 17.97 length=160,align1=10,align2=0: 18.75 (4.00%) 18.75 (4.00%) 19.53 length=160,align1=0,align2=10: 19.53 (-4.17%) 17.97 (4.17%) 18.75 length=160,align1=10,align2=10: 18.75 (-4.35%) 18.75 (-4.35%) 17.97 length=176,align1=0,align2=0: 18.75 (-4.35%) 17.19 (4.35%) 17.97 length=176,align1=11,align2=0: 19.53 (0.00%) 19.53 (0.00%) 19.53 length=176,align1=0,align2=11: 19.53 (-4.17%) 18.75 (0.00%) 18.75 length=176,align1=11,align2=11: 18.75 (0.00%) 17.97 (4.17%) 18.75 length=192,align1=0,align2=0: 18.75 (0.00%) 17.97 (4.17%) 18.75 length=192,align1=12,align2=0: 21.09 (-8.00%) 18.75 (4.00%) 19.53 length=192,align1=0,align2=12: 18.75 (0.00%) 18.75 (0.00%) 18.75 length=192,align1=12,align2=12: 18.75 (0.00%) 17.97 (4.17%) 18.75 length=208,align1=0,align2=0: 17.97 (0.00%) 20.31 (-13.04%) 17.97 length=208,align1=13,align2=0: 19.53 (7.41%) 21.09 (0.00%) 21.09 length=208,align1=0,align2=13: 23.44 (-11.11%) 21.09 (0.00%) 21.09 length=208,align1=13,align2=13: 21.09 (-3.85%) 21.09 (-3.85%) 20.31 length=224,align1=0,align2=0: 21.09 (-8.00%) 20.31 (-4.00%) 19.53 length=224,align1=14,align2=0: 23.44 (-11.11%) 20.31 (3.70%) 21.09 length=224,align1=0,align2=14: 21.09 (3.57%) 20.31 (7.14%) 21.88 length=224,align1=14,align2=14: 20.31 (0.00%) 19.53 (3.85%) 20.31 length=240,align1=0,align2=0: 20.31 (-4.00%) 19.53 (0.00%) 19.53 length=240,align1=15,align2=0: 22.66 (0.00%) 20.31 (10.34%) 22.66 length=240,align1=0,align2=15: 20.31 (-4.00%) 20.31 (-4.00%) 19.53 length=240,align1=15,align2=15: 21.88 (0.00%) 21.09 (3.57%) 21.88 length=272,align1=0,align2=0: 20.31 (0.00%) 28.12 (-38.46%) 20.31 length=272,align1=17,align2=0: 22.66 (0.00%) 27.34 (-20.69%) 22.66 length=272,align1=0,align2=17: 25.78 (-10.00%) 28.12 (-20.00%) 23.44 length=272,align1=17,align2=17: 22.66 (-3.57%) 27.34 (-25.00%) 21.88 length=288,align1=0,align2=0: 23.44 (-7.14%) 27.34 (-25.00%) 21.88 length=288,align1=18,align2=0: 22.66 (0.00%) 27.34 (-20.69%) 22.66 length=288,align1=0,align2=18: 23.44 (-3.45%) 25.00 (-10.35%) 22.66 length=288,align1=18,align2=18: 22.66 (-3.57%) 21.88 (0.00%) 21.88 length=304,align1=0,align2=0: 21.88 (0.00%) 21.88 (0.00%) 21.88 length=304,align1=19,align2=0: 23.44 (-3.45%) 22.66 (0.00%) 22.66 length=304,align1=0,align2=19: 22.66 (0.00%) 22.66 (0.00%) 22.66 length=304,align1=19,align2=19: 22.66 (-3.57%) 21.88 (0.00%) 21.88 length=320,align1=0,align2=0: 22.66 (-3.57%) 21.88 (0.00%) 21.88 length=320,align1=20,align2=0: 22.66 (0.00%) 22.66 (0.00%) 22.66 length=320,align1=0,align2=20: 22.66 (0.00%) 22.66 (0.00%) 22.66 length=320,align1=20,align2=20: 22.66 (-3.57%) 21.88 (0.00%) 21.88 length=336,align1=0,align2=0: 21.88 (0.00%) 24.22 (-10.71%) 21.88 length=336,align1=21,align2=0: 22.66 (0.00%) 25.00 (-10.35%) 22.66 length=336,align1=0,align2=21: 25.78 (0.00%) 25.00 (3.03%) 25.78 length=336,align1=21,align2=21: 25.00 (0.00%) 23.44 (6.25%) 25.00 length=352,align1=0,align2=0: 24.22 (0.00%) 24.22 (0.00%) 24.22 length=352,align1=22,align2=0: 25.00 (0.00%) 25.00 (0.00%) 25.00 length=352,align1=0,align2=22: 25.00 (-3.23%) 25.00 (-3.23%) 24.22 length=352,align1=22,align2=22: 25.00 (-3.23%) 24.22 (0.00%) 24.22 length=368,align1=0,align2=0: 25.00 (-3.23%) 23.44 (3.23%) 24.22 length=368,align1=23,align2=0: 25.00 (0.00%) 24.22 (3.12%) 25.00 length=368,align1=0,align2=23: 25.00 (-3.23%) 25.00 (-3.23%) 24.22 length=368,align1=23,align2=23: 25.00 (-6.67%) 23.44 (0.00%) 23.44 length=384,align1=0,align2=0: 24.22 (0.00%) 24.22 (0.00%) 24.22 length=384,align1=24,align2=0: 25.00 (0.00%) 24.22 (3.12%) 25.00 length=384,align1=0,align2=24: 25.00 (0.00%) 25.78 (-3.12%) 25.00 length=384,align1=24,align2=24: 24.22 (-3.33%) 23.44 (0.00%) 23.44 length=400,align1=0,align2=0: 25.00 (-3.23%) 26.56 (-9.68%) 24.22 length=400,align1=25,align2=0: 25.78 (-3.12%) 27.34 (-9.38%) 25.00 length=400,align1=0,align2=25: 27.34 (0.00%) 27.34 (0.00%) 27.34 length=400,align1=25,align2=25: 26.56 (0.00%) 25.78 (2.94%) 26.56 length=416,align1=0,align2=0: 26.56 (-3.03%) 25.78 (0.00%) 25.78 length=416,align1=26,align2=0: 28.12 (-2.86%) 27.34 (0.00%) 27.34 length=416,align1=0,align2=26: 27.34 (-2.94%) 28.12 (-5.88%) 26.56 length=416,align1=26,align2=26: 25.78 (0.00%) 26.56 (-3.03%) 25.78 length=432,align1=0,align2=0: 27.34 (-2.94%) 25.78 (2.94%) 26.56 length=432,align1=27,align2=0: 28.12 (-2.86%) 27.34 (0.00%) 27.34 length=432,align1=0,align2=27: 27.34 (0.00%) 28.12 (-2.86%) 27.34 length=432,align1=27,align2=27: 25.78 (0.00%) 25.78 (0.00%) 25.78 length=448,align1=0,align2=0: 26.56 (-3.03%) 25.78 (0.00%) 25.78 length=448,align1=28,align2=0: 27.34 (0.00%) 27.34 (0.00%) 27.34 length=448,align1=0,align2=28: 27.34 (0.00%) 28.12 (-2.86%) 27.34 length=448,align1=28,align2=28: 25.78 (0.00%) 25.78 (0.00%) 25.78 length=464,align1=0,align2=0: 25.78 (0.00%) 28.12 (-9.09%) 25.78 length=464,align1=29,align2=0: 28.12 (-2.86%) 29.69 (-8.57%) 27.34 length=464,align1=0,align2=29: 30.47 (0.00%) 30.47 (0.00%) 30.47 length=464,align1=29,align2=29: 28.12 (0.00%) 27.34 (2.78%) 28.12 length=480,align1=0,align2=0: 29.69 (-5.56%) 28.12 (0.00%) 28.12 length=480,align1=30,align2=0: 31.25 (-2.56%) 29.69 (2.56%) 30.47 length=480,align1=0,align2=30: 29.69 (0.00%) 30.47 (-2.63%) 29.69 length=480,align1=30,align2=30: 28.12 (0.00%) 28.12 (0.00%) 28.12 length=496,align1=0,align2=0: 28.12 (0.00%) 27.34 (2.78%) 28.12 length=496,align1=31,align2=0: 30.47 (-2.63%) 29.69 (0.00%) 29.69 length=496,align1=0,align2=31: 29.69 (0.00%) 30.47 (-2.63%) 29.69 length=496,align1=31,align2=31: 28.12 (-2.86%) 28.12 (-2.86%) 27.34 length=1024,align1=0,align2=0: 44.53 (0.00%) 44.53 (0.00%) 44.53 length=1024,align1=32,align2=0: 44.53 (-1.79%) 44.53 (-1.79%) 43.75 length=1024,align1=0,align2=32: 44.53 (-1.79%) 43.75 (0.00%) 43.75 length=1024,align1=32,align2=32: 43.75 (1.75%) 43.75 (1.75%) 44.53 length=1056,align1=0,align2=0: 46.88 (-1.69%) 46.88 (-1.69%) 46.09 length=1056,align1=33,align2=0: 53.12 (0.00%) 52.34 (1.47%) 53.12 length=1056,align1=0,align2=33: 52.34 (0.00%) 53.12 (-1.49%) 52.34 length=1056,align1=33,align2=33: 46.09 (0.00%) 46.88 (-1.69%) 46.09 length=1088,align1=0,align2=0: 46.88 (-1.69%) 46.09 (0.00%) 46.09 length=1088,align1=34,align2=0: 52.34 (0.00%) 52.34 (0.00%) 52.34 length=1088,align1=0,align2=34: 53.12 (-3.03%) 53.12 (-3.03%) 51.56 length=1088,align1=34,align2=34: 46.09 (0.00%) 46.88 (-1.69%) 46.09 length=1120,align1=0,align2=0: 49.22 (-1.61%) 48.44 (0.00%) 48.44 length=1120,align1=35,align2=0: 54.69 (1.41%) 55.47 (0.00%) 55.47 length=1120,align1=0,align2=35: 57.03 (0.00%) 55.47 (2.74%) 57.03 length=1120,align1=35,align2=35: 48.44 (0.00%) 49.22 (-1.61%) 48.44 length=1152,align1=0,align2=0: 47.66 (1.61%) 48.44 (0.00%) 48.44 length=1152,align1=36,align2=0: 55.47 (-1.43%) 55.47 (-1.43%) 54.69 length=1152,align1=0,align2=36: 58.59 (-1.35%) 55.47 (4.05%) 57.81 length=1152,align1=36,align2=36: 48.44 (0.00%) 49.22 (-1.61%) 48.44 length=1184,align1=0,align2=0: 53.12 (-3.03%) 50.78 (1.52%) 51.56 length=1184,align1=37,align2=0: 61.72 (-2.60%) 57.03 (5.19%) 60.16 length=1184,align1=0,align2=37: 62.50 (-1.27%) 57.03 (7.60%) 61.72 length=1184,align1=37,align2=37: 53.12 (-1.49%) 50.78 (2.99%) 52.34 length=1216,align1=0,align2=0: 53.91 (-4.55%) 50.78 (1.52%) 51.56 length=1216,align1=38,align2=0: 60.94 (0.00%) 57.03 (6.41%) 60.94 length=1216,align1=0,align2=38: 60.16 (0.00%) 57.81 (3.90%) 60.16 length=1216,align1=38,align2=38: 52.34 (-1.52%) 50.00 (3.03%) 51.56 length=1248,align1=0,align2=0: 54.69 (-2.94%) 53.12 (0.00%) 53.12 length=1248,align1=39,align2=0: 64.06 (-1.23%) 60.16 (4.94%) 63.28 length=1248,align1=0,align2=39: 60.94 (-2.63%) 60.16 (-1.32%) 59.38 length=1248,align1=39,align2=39: 53.12 (0.00%) 52.34 (1.47%) 53.12 length=1280,align1=0,align2=0: 52.34 (-1.52%) 52.34 (-1.52%) 51.56 length=1280,align1=40,align2=0: 61.72 (3.66%) 59.38 (7.32%) 64.06 length=1280,align1=0,align2=40: 60.94 (-2.63%) 60.16 (-1.32%) 59.38 length=1280,align1=40,align2=40: 52.34 (-1.52%) 52.34 (-1.52%) 51.56 length=1312,align1=0,align2=0: 54.69 (-1.45%) 55.47 (-2.90%) 53.91 length=1312,align1=41,align2=0: 63.28 (0.00%) 62.50 (1.23%) 63.28 length=1312,align1=0,align2=41: 62.50 (0.00%) 62.50 (0.00%) 62.50 length=1312,align1=41,align2=41: 53.91 (0.00%) 54.69 (-1.45%) 53.91 length=1344,align1=0,align2=0: 54.69 (0.00%) 54.69 (0.00%) 54.69 length=1344,align1=42,align2=0: 62.50 (0.00%) 62.50 (0.00%) 62.50 length=1344,align1=0,align2=42: 62.50 (-1.27%) 62.50 (-1.27%) 61.72 length=1344,align1=42,align2=42: 53.91 (0.00%) 53.91 (0.00%) 53.91 length=1376,align1=0,align2=0: 65.62 (-16.67%) 68.75 (-22.22%) 56.25 length=1376,align1=43,align2=0: 71.88 (-9.52%) 73.44 (-11.90%) 65.62 length=1376,align1=0,align2=43: 72.66 (-12.05%) 74.22 (-14.46%) 64.84 length=1376,align1=43,align2=43: 64.06 (-13.89%) 67.97 (-20.83%) 56.25 length=1408,align1=0,align2=0: 57.03 (-1.39%) 68.75 (-22.22%) 56.25 length=1408,align1=44,align2=0: 65.62 (-1.20%) 73.44 (-13.25%) 64.84 length=1408,align1=0,align2=44: 64.84 (0.00%) 74.22 (-14.46%) 64.84 length=1408,align1=44,align2=44: 56.25 (-1.41%) 68.75 (-23.94%) 55.47 length=1440,align1=0,align2=0: 67.97 (-14.47%) 64.84 (-9.21%) 59.38 length=1440,align1=45,align2=0: 74.22 (-10.47%) 68.75 (-2.33%) 67.19 length=1440,align1=0,align2=45: 72.66 (-6.90%) 69.53 (-2.30%) 67.97 length=1440,align1=45,align2=45: 65.62 (-13.51%) 58.59 (-1.35%) 57.81 length=1472,align1=0,align2=0: 66.41 (-14.86%) 58.59 (-1.35%) 57.81 length=1472,align1=46,align2=0: 73.44 (-9.30%) 67.19 (0.00%) 67.19 length=1472,align1=0,align2=46: 70.31 (-4.65%) 67.97 (-1.16%) 67.19 length=1472,align1=46,align2=46: 57.81 (0.00%) 58.59 (-1.35%) 57.81 length=1504,align1=0,align2=0: 60.94 (0.00%) 60.94 (0.00%) 60.94 length=1504,align1=47,align2=0: 71.09 (-1.11%) 70.31 (0.00%) 70.31 length=1504,align1=0,align2=47: 70.31 (-1.12%) 70.31 (-1.12%) 69.53 length=1504,align1=47,align2=47: 60.94 (-1.30%) 60.16 (0.00%) 60.16 length=1536,align1=0,align2=0: 62.50 (-3.90%) 60.16 (0.00%) 60.16 length=1536,align1=48,align2=0: 60.94 (-1.30%) 60.16 (0.00%) 60.16 length=1536,align1=0,align2=48: 61.72 (-3.95%) 60.16 (-1.32%) 59.38 length=1536,align1=48,align2=48: 60.94 (-1.30%) 60.16 (0.00%) 60.16 length=1568,align1=0,align2=0: 80.47 (-27.16%) 63.28 (0.00%) 63.28 length=1568,align1=49,align2=0: 86.72 (-18.09%) 72.66 (1.06%) 73.44 length=1568,align1=0,align2=49: 74.22 (-3.26%) 74.22 (-3.26%) 71.88 length=1568,align1=49,align2=49: 62.50 (0.00%) 61.72 (1.25%) 62.50 length=1600,align1=0,align2=0: 62.50 (-1.27%) 62.50 (-1.27%) 61.72 length=1600,align1=50,align2=0: 73.44 (0.00%) 71.88 (2.13%) 73.44 length=1600,align1=0,align2=50: 72.66 (0.00%) 73.44 (-1.08%) 72.66 length=1600,align1=50,align2=50: 62.50 (-1.27%) 62.50 (-1.27%) 61.72 length=1632,align1=0,align2=0: 64.84 (0.00%) 64.84 (0.00%) 64.84 length=1632,align1=51,align2=0: 75.78 (0.00%) 75.00 (1.03%) 75.78 length=1632,align1=0,align2=51: 78.91 (0.00%) 75.78 (3.96%) 78.91 length=1632,align1=51,align2=51: 64.84 (-2.47%) 64.84 (-2.47%) 63.28 length=1664,align1=0,align2=0: 64.84 (-1.22%) 64.84 (-1.22%) 64.06 length=1664,align1=52,align2=0: 75.78 (0.00%) 75.00 (1.03%) 75.78 length=1664,align1=0,align2=52: 80.47 (-0.98%) 75.78 (4.90%) 79.69 length=1664,align1=52,align2=52: 64.06 (-1.23%) 65.62 (-3.70%) 63.28 length=1696,align1=0,align2=0: 69.53 (-3.49%) 72.66 (-8.14%) 67.19 length=1696,align1=53,align2=0: 80.47 (-0.98%) 82.03 (-2.94%) 79.69 length=1696,align1=0,align2=53: 80.47 (0.96%) 82.03 (-0.96%) 81.25 length=1696,align1=53,align2=53: 68.75 (-2.33%) 72.66 (-8.14%) 67.19 length=1728,align1=0,align2=0: 67.97 (0.00%) 72.66 (-6.90%) 67.97 length=1728,align1=54,align2=0: 80.47 (-0.98%) 82.81 (-3.92%) 79.69 length=1728,align1=0,align2=54: 78.91 (-1.00%) 82.03 (-5.00%) 78.12 length=1728,align1=54,align2=54: 68.75 (0.00%) 72.66 (-5.68%) 68.75 length=1760,align1=0,align2=0: 77.34 (-12.50%) 68.75 (0.00%) 68.75 length=1760,align1=55,align2=0: 91.41 (-8.33%) 79.69 (5.56%) 84.38 length=1760,align1=0,align2=55: 88.28 (-10.78%) 80.47 (-0.98%) 79.69 length=1760,align1=55,align2=55: 77.34 (-11.24%) 68.75 (1.12%) 69.53 length=1792,align1=0,align2=0: 78.12 (-14.94%) 68.75 (-1.15%) 67.97 length=1792,align1=56,align2=0: 88.28 (-4.63%) 79.69 (5.56%) 84.38 length=1792,align1=0,align2=56: 88.28 (-9.71%) 80.47 (0.00%) 80.47 length=1792,align1=56,align2=56: 77.34 (-11.24%) 68.75 (1.12%) 69.53 length=1824,align1=0,align2=0: 72.66 (7.92%) 70.31 (10.89%) 78.91 length=1824,align1=57,align2=0: 85.94 (5.17%) 82.03 (9.48%) 90.62 length=1824,align1=0,align2=57: 82.03 (3.67%) 82.81 (2.75%) 85.16 length=1824,align1=57,align2=57: 70.31 (-1.12%) 70.31 (-1.12%) 69.53 length=1856,align1=0,align2=0: 70.31 (-1.12%) 70.31 (-1.12%) 69.53 length=1856,align1=58,align2=0: 83.59 (-0.94%) 82.03 (0.94%) 82.81 length=1856,align1=0,align2=58: 178.12 (-115.09%) 82.81 (0.00%) 82.81 length=1856,align1=58,align2=58: 70.31 (-1.12%) 70.31 (-1.12%) 69.53 length=1888,align1=0,align2=0: 73.44 (-1.08%) 78.91 (-8.60%) 72.66 length=1888,align1=59,align2=0: 85.94 (0.00%) 89.84 (-4.55%) 85.94 length=1888,align1=0,align2=59: 84.38 (0.00%) 89.06 (-5.56%) 84.38 length=1888,align1=59,align2=59: 72.66 (-1.09%) 78.12 (-8.70%) 71.88 length=1920,align1=0,align2=0: 72.66 (-1.09%) 78.12 (-8.70%) 71.88 length=1920,align1=60,align2=0: 85.94 (0.00%) 89.84 (-4.55%) 85.94 length=1920,align1=0,align2=60: 85.16 (0.00%) 89.06 (-4.59%) 85.16 length=1920,align1=60,align2=60: 72.66 (-1.09%) 78.91 (-9.78%) 71.88 length=1952,align1=0,align2=0: 75.00 (-1.05%) 75.00 (-1.05%) 74.22 length=1952,align1=61,align2=0: 88.28 (0.00%) 87.50 (0.88%) 88.28 length=1952,align1=0,align2=61: 87.50 (0.00%) 88.28 (-0.89%) 87.50 length=1952,align1=61,align2=61: 74.22 (0.00%) 74.22 (0.00%) 74.22 length=1984,align1=0,align2=0: 75.00 (-1.05%) 73.44 (1.05%) 74.22 length=1984,align1=62,align2=0: 89.06 (-0.89%) 87.50 (0.88%) 88.28 length=1984,align1=0,align2=62: 87.50 (0.00%) 88.28 (-0.89%) 87.50 length=1984,align1=62,align2=62: 74.22 (0.00%) 74.22 (0.00%) 74.22 length=2016,align1=0,align2=0: 77.34 (-1.02%) 76.56 (0.00%) 76.56 length=2016,align1=63,align2=0: 91.41 (-0.86%) 90.62 (0.00%) 90.62 length=2016,align1=0,align2=63: 89.84 (0.00%) 90.62 (-0.87%) 89.84 length=2016,align1=63,align2=63: 77.34 (-1.02%) 76.56 (0.00%) 76.56 length=4096,align1=0,align2=0: 141.41 (-0.56%) 146.88 (-4.44%) 140.62 Function: memcpy __memcpy_thunderx __memcpy_falkor __memcpy_generic Variant: large ================================================================================ length=65543,align1=0,align2=0: 4018.75 (3.09%) 2634.38 (36.47%) 4146.88 length=65551,align1=0,align2=3: 4425.00 (-6.47%) 3134.38 (24.59%) 4156.25 length=65567,align1=3,align2=0: 2909.38 (29.95%) 3134.38 (24.53%) 4153.12 length=65599,align1=3,align2=5: 4415.62 (-6.16%) 3134.38 (24.64%) 4159.38 length=131079,align1=0,align2=0: 5765.62 (30.38%) 5240.62 (36.72%) 8281.25 length=131087,align1=0,align2=3: 8831.25 (-6.56%) 6271.88 (24.32%) 8287.50 length=131103,align1=3,align2=0: 5793.75 (29.05%) 6268.75 (23.23%) 8165.62 length=131135,align1=3,align2=5: 5806.25 (29.97%) 6259.38 (24.50%) 8290.62 length=262151,align1=0,align2=0: 11850.00 (28.91%) 10762.50 (35.43%) 16668.80 length=262159,align1=0,align2=3: 12043.80 (27.72%) 12700.00 (23.78%) 16662.50 length=262175,align1=3,align2=0: 12046.90 (27.90%) 12687.50 (24.07%) 16709.40 length=262207,align1=3,align2=5: 11984.40 (28.08%) 12678.10 (23.91%) 16662.50 length=524295,align1=0,align2=0: 24825.00 (25.00%) 24268.80 (27.34%) 33400.00 length=524303,align1=0,align2=3: 35731.20 (-6.53%) 25678.10 (23.44%) 33540.60 length=524319,align1=3,align2=0: 25893.80 (22.71%) 25725.00 (23.22%) 33503.10 length=524351,align1=3,align2=5: 25887.50 (22.86%) 25690.60 (23.45%) 33559.40 length=1048583,align1=0,align2=0: 50621.90 (0.30%) 50600.00 (0.34%) 50771.90 length=1048591,align1=0,align2=3: 53206.20 (0.54%) 51081.20 (4.51%) 53493.80 length=1048607,align1=3,align2=0: 53221.90 (0.32%) 51975.00 (2.66%) 53393.80 length=1048639,align1=3,align2=5: 53240.60 (0.36%) 51953.10 (2.77%) 53431.20 length=2097159,align1=0,align2=0: 103744.00 (-2.00%) 102447.00 (-1.00%) 102425.00 length=2097167,align1=0,align2=3: 108588.00 (-1.00%) 105159.00 (2.00%) 107606.00 length=2097183,align1=3,align2=0: 107678.00 (0.00%) 105250.00 (2.00%) 108125.00 length=2097215,align1=3,align2=5: 107906.00 (1.00%) 105841.00 (3.00%) 109475.00 length=4194311,align1=0,align2=0: 202994.00 (0.00%) 202500.00 (1.00%) 204809.00 length=4194319,align1=0,align2=3: 213350.00 (0.00%) 205997.00 (3.00%) 213384.00 length=4194335,align1=3,align2=0: 212653.00 (0.00%) 206444.00 (3.00%) 212900.00 length=4194367,align1=3,align2=5: 213044.00 (0.00%) 206084.00 (3.00%) 213847.00 length=8388615,align1=0,align2=0: 401294.00 (0.00%) 401231.00 (0.00%) 401944.00 length=8388623,align1=0,align2=3: 480872.00 (-14.00%) 406444.00 (3.00%) 422900.00 length=8388639,align1=3,align2=0: 422147.00 (0.00%) 407750.00 (3.00%) 422803.00 length=8388671,align1=3,align2=5: 442003.00 (-5.00%) 407125.00 (3.00%) 423509.00 length=16777223,align1=0,align2=0: 799809.00 (0.00%) 800000.00 (0.00%) 801756.00 length=16777231,align1=0,align2=3: 841184.00 (0.00%) 808525.00 (4.00%) 843775.00 length=16777247,align1=3,align2=0: 841166.00 (0.00%) 810147.00 (3.00%) 843147.00 length=16777279,align1=3,align2=5: 972569.00 (-16.00%) 808588.00 (4.00%) 843731.00 length=33554439,align1=0,align2=0: 1842240.00 (-0.01%) 1863590.00 (-1.17%) 1841990.00 length=33554447,align1=0,align2=3: 2103470.00 (-2.74%) 1919460.00 (6.25%) 2047440.00 length=33554463,align1=3,align2=0: 2075690.00 (-1.07%) 1930040.00 (6.02%) 2053720.00 length=33554495,align1=3,align2=5: 2110590.00 (-2.82%) 1924440.00 (6.25%) 2052650.00 Function: memcpy __memcpy_thunderx __memcpy_falkor __memcpy_generic Variant: random ================================================================================ max-size=4096: 44061.90 (5.85%) 38568.20 (17.59%) 46799.90 max-size=8192: 42790.90 (5.27%) 38158.90 (15.52%) 45171.50 max-size=16384: 44912.10 (2.25%) 38710.40 (15.75%) 45945.00 max-size=32768: 43577.90 (1.23%) 37975.10 (13.93%) 44120.00 max-size=65536: 44375.50 (1.04%) 38474.20 (14.20%) 44840.60 * manual/tunables.texi (Tunable glibc.tune.cpu): Add falkor. * sysdeps/aarch64/multiarch/Makefile (sysdep_routines): Add memcpy_falkor. * sysdeps/aarch64/multiarch/ifunc-impl-list.c (MAX_IFUNC): Bump. (__libc_ifunc_impl_list): Add __memcpy_falkor. * sysdeps/aarch64/multiarch/memcpy.c: Likewise. * sysdeps/aarch64/multiarch/memcpy_falkor.S: New file. * sysdeps/unix/sysv/linux/aarch64/cpu-features.c (cpu_list): Add falkor. * sysdeps/unix/sysv/linux/aarch64/cpu-features.h (IS_FALKOR): New macro.
* aarch64: Call all string function implementations in testsSiddhesh Poyarekar2017-06-301-4/+2
| | | | | | | | | | | The string function implementations implemented so far do not use any instructions that may deviate from standard aarch64, so it is possible for all routines to run on all armv8 hardware. Select all implementations in the benchmarks and tests. * sysdeps/aarch64/multiarch/ifunc-impl-list.c (__libc_ifunc_impl_list): Unconditionally select thunderx routine for testing.
* aarch64: Thunderx specific memcpy and memmoveSteve Ellcey2017-05-247-0/+523
* sysdeps/aarch64/memcpy.S (MEMMOVE, MEMCPY): New macros. (memmove): Use MEMMOVE for name. (memcpy): Use MEMCPY for name. Change internal labels to external labels. * sysdeps/aarch64/multiarch/Makefile: New file. * sysdeps/aarch64/multiarch/ifunc-impl-list.c: Likewise. * sysdeps/aarch64/multiarch/init-arch.h: Likewise. * sysdeps/aarch64/multiarch/memcpy.c: Likewise. * sysdeps/aarch64/multiarch/memcpy_generic.S: Likewise. * sysdeps/aarch64/multiarch/memcpy_thunderx.S: Likewise. * sysdeps/aarch64/multiarch/memmove.c: Likewise.
generated by cgit-pink 1.4.1 (git 2.36.1) at 2024-11-02 16:57:25 +0000