Message ID | 20230830184958.2333078-1-ankur.a.arora@oracle.com (mailing list archive) |
---|---|
Headers | show |
Series | x86/clear_huge_page: multi-page clearing | expand |
On Wed, Aug 30, 2023 at 11:49:49AM -0700, Ankur Arora wrote: > This series adds a multi-page clearing primitive, clear_pages(), > which enables more effective use of x86 string instructions by > advertising the real region-size to be cleared. > > Region-size can be used as a hint by uarchs to optimize the > clearing. > > Also add allow_resched() which marks a code-section as allowing > rescheduling in the irqentry_exit path. This allows clear_pages() > to get by without having to call cond_sched() periodically. > (preempt_model_full() already handles this via > irqentry_exit_cond_resched(), so we handle this similarly for > preempt_model_none() and preempt_model_voluntary().) > > Performance > == > > With this demand fault performance gets a decent increase: > > *Milan* mm/clear_huge_page x86/clear_huge_page change > (GB/s) (GB/s) > > pg-sz=2MB 14.55 19.29 +32.5% > pg-sz=1GB 19.34 49.60 +156.4% > > Milan (and some other AMD Zen uarchs tested) take advantage of the > hint to elide cacheline allocation for pg-sz=1GB. The cut-off for > this optimization seems to be at around region-size > LLC-size so > the pg-sz=2MB load still allocates cachelines. > Have you benchmarked clzero? It is an AMD-specific instruction issuing non-temporal stores. It is definitely something to try out for 1G pages. One would think rep stosq has to be at least not worse since the CPU is explicitly told what to do and is free to optimize it however it sees fit, but the rep prefix has a long history of underperforming. I'm not saying it is going to be better, but that this should be tested, albeit one can easily argue this can be done at a later date. I would do it myself but my access to AMD CPUs is limited. > > *Icelakex* mm/clear_huge_page x86/clear_huge_page change > (GB/s) (GB/s) > > pg-sz=2MB 9.19 12.94 +40.8% > pg-sz=1GB 9.36 12.97 +38.5% > > Icelakex sees a decent improvement in performance but for both > region-sizes does continue to allocate cachelines. > > > Negative: there is, a downside to clearing in larger chunks: the > current approach clears page-at-a-time, narrowing towards > the faulting subpage. This has better cache characteristics for > some sequential access workloads where subpages near the faulting > page have a greater likelihood of access. > > I'm not sure if there are real cases which care about this workload > but one example is the vm-scalability/case-anon-w-seq-hugetlb test. > This test starts a process for each online CPU, with each process > writing sequentially to its set of hugepages. > > The bottleneck here is the memory pipe and so the improvement in > stime is limited, and because the clearing is less cache-optimal > now, utime suffers from worse user cache misses. > > *Icelakex* mm/clear_huge_page x86/clear_huge_page change > (tasks=128, mem=4GB/task) > > stime 286.8 +- 3.6% 243.9 +- 4.1% -14.9% > utime 497.7 +- 4.1% 553.5 +- 2.0% +11.2% > wall-clock 6.9 +- 2.8% 7.0 +- 1.4% + 1.4% > > > *Milan* mm/clear_huge_page x86/clear_huge_page change > (mem=1GB/task, tasks=512) > > stime 501.3 +- 1.4% 498.0 +- 0.9% -0.5% > utime 298.7 +- 1.1% 335.0 +- 2.2% +12.1% > wall-clock 3.5 +- 2.8% 3.8 +- 2.6% +8.5% > > The same test performs better if we have a smaller number of processes, > since there is more backend BW available, and thus the improved stime > compensates for the worse utime. > > This could be improved by using more circuitous chunking (somewhat > like this: > https://lore.kernel.org/lkml/20220606203725.1313715-1-ankur.a.arora@oracle.com/). > But I'm not sure if it is worth doing. Opinions? > > Patches > == > > Patch 1, 2, 3: > "mm/clear_huge_page: allow arch override for clear_huge_page()", > "mm/huge_page: separate clear_huge_page() and copy_huge_page()", > "mm/huge_page: cleanup clear_/copy_subpage()" > are minor. The first one allows clear_huge_page() to have an > arch specific version and the other two are mechanical cleanup > patches. > > Patches 3, 4, 5: > "x86/clear_page: extend clear_page*() for multi-page clearing", > "x86/clear_page: add clear_pages()", > "x86/clear_huge_page: multi-page clearing" > define the x86 specific clear_pages() and clear_huge_pages(). > > Patches 6, 7, 8: > "sched: define TIF_ALLOW_RESCHED" > "irqentry: define irqentry_exit_allow_resched()" > which defines allow_resched() to demarcate preemptible sections. > > This gets used in patch 9: > "x86/clear_huge_page: make clear_contig_region() preemptible". > > Changelog: > > v2: > - Addressed review comments from peterz, tglx. > - Removed clear_user_pages(), and CONFIG_X86_32:clear_pages() > - General code cleanup > > Also at: > github.com/terminus/linux clear-pages.v2 > > Comments appreciated! > > Ankur Arora (9): > mm/clear_huge_page: allow arch override for clear_huge_page() > mm/huge_page: separate clear_huge_page() and copy_huge_page() > mm/huge_page: cleanup clear_/copy_subpage() > x86/clear_page: extend clear_page*() for multi-page clearing > x86/clear_page: add clear_pages() > x86/clear_huge_page: multi-page clearing > sched: define TIF_ALLOW_RESCHED > irqentry: define irqentry_exit_allow_resched() > x86/clear_huge_page: make clear_contig_region() preemptible > > arch/x86/include/asm/page_64.h | 27 +++-- > arch/x86/include/asm/thread_info.h | 2 + > arch/x86/lib/clear_page_64.S | 52 ++++++--- > arch/x86/mm/hugetlbpage.c | 59 ++++++++++ > include/linux/entry-common.h | 13 +++ > include/linux/sched.h | 30 +++++ > kernel/entry/common.c | 13 ++- > kernel/sched/core.c | 32 ++--- > mm/memory.c | 181 +++++++++++++++++------------ > 9 files changed, 297 insertions(+), 112 deletions(-) > > -- > 2.31.1 > >
On 8/31/2023 12:19 AM, Ankur Arora wrote: > This series adds a multi-page clearing primitive, clear_pages(), > which enables more effective use of x86 string instructions by > advertising the real region-size to be cleared. > > Region-size can be used as a hint by uarchs to optimize the > clearing. > > Also add allow_resched() which marks a code-section as allowing > rescheduling in the irqentry_exit path. This allows clear_pages() > to get by without having to call cond_sched() periodically. > (preempt_model_full() already handles this via > irqentry_exit_cond_resched(), so we handle this similarly for > preempt_model_none() and preempt_model_voluntary().) > > Hello Ankur, Thansk for the patches. I tried the patches, Improvements look similar to V1 (even without circuitous chunk optimizations.) STill we see similar 50-60% improvement for 1G and 2M page sizes. SUT: Bergamo CPU family: 25 Model: 160 Thread(s) per core: 2 Core(s) per socket: 128 Socket(s): 2 NUMA: NUMA node(s): 2 NUMA node0 CPU(s): 0-127,256-383 NUMA node1 CPU(s): 128-255,384-511 Test: Use mmap(MAP_HUGETLB) to demand a fault on 64GB region (NUMA node0), for both base-hugepage-size=2M and 1GB Current result is with thp = always, but madv also did not make much difference. perf stat -r 10 -d -d numactl -m 0 -N 0 <test> time in seconds elapsed (average of 10 runs) (lower = better) Result: base: mm/clear_huge_page patched: x86/clear_huge_page page-size base patched Improvement % 2M 5.0779 2.50623 50.64 1G 2.50623 1.012439 59.60 More details: Performance counter stats for 'mm/map_hugetlb' (10 runs): 5,058.71 msec task-clock # 0.996 CPUs utilized ( +- 0.26% ) 8 context-switches # 1.576 /sec ( +- 7.23% ) 0 cpu-migrations # 0.000 /sec 32,917 page-faults # 6.484 K/sec ( +- 0.00% ) 15,797,804,067 cycles # 3.112 GHz ( +- 0.26% ) (35.70%) 2,073,754 stalled-cycles-frontend # 0.01% frontend cycles idle ( +- 1.25% ) (35.71%) 27,508,977 stalled-cycles-backend # 0.17% backend cycles idle ( +- 9.48% ) (35.74%) 1,143,710,651 instructions # 0.07 insn per cycle # 0.03 stalled cycles per insn ( +- 0.15% ) (35.76%) 243,817,330 branches # 48.028 M/sec ( +- 0.12% ) (35.78%) 357,760 branch-misses # 0.15% of all branches ( +- 1.52% ) (35.75%) 2,540,733,497 L1-dcache-loads # 500.483 M/sec ( +- 0.04% ) (35.74%) 1,093,660,557 L1-dcache-load-misses # 42.98% of all L1-dcache accesses ( +- 0.03% ) (35.71%) 73,335,478 L1-icache-loads # 14.446 M/sec ( +- 0.08% ) (35.70%) 878,378 L1-icache-load-misses # 1.19% of all L1-icache accesses ( +- 2.65% ) (35.68%) 1,025,714 dTLB-loads # 202.049 K/sec ( +- 2.70% ) (35.69%) 405,407 dTLB-load-misses # 37.35% of all dTLB cache accesses ( +- 1.59% ) (35.68%) 2 iTLB-loads # 0.394 /sec ( +- 41.63% ) (35.68%) 40,356 iTLB-load-misses # 1552153.85% of all iTLB cache accesses ( +- 7.18% ) (35.68%) 5.0779 +- 0.0132 seconds time elapsed ( +- 0.26% ) Performance counter stats for 'numactl -m 0 -N 0 x86/map_hugetlb' (10 runs): 2,538.40 msec task-clock # 1.013 CPUs utilized ( +- 0.27% ) 4 context-switches # 1.597 /sec ( +- 6.51% ) 1 cpu-migrations # 0.399 /sec 32,916 page-faults # 13.140 K/sec ( +- 0.00% ) 7,901,830,782 cycles # 3.154 GHz ( +- 0.27% ) (35.67%) 6,590,473 stalled-cycles-frontend # 0.08% frontend cycles idle ( +- 10.31% ) (35.71%) 329,970,288 stalled-cycles-backend # 4.23% backend cycles idle ( +- 13.65% ) (35.74%) 725,811,962 instructions # 0.09 insn per cycle # 0.80 stalled cycles per insn ( +- 0.37% ) (35.78%) 132,182,704 branches # 52.767 M/sec ( +- 0.26% ) (35.82%) 254,163 branch-misses # 0.19% of all branches ( +- 2.47% ) (35.81%) 2,382,927,453 L1-dcache-loads # 951.262 M/sec ( +- 0.04% ) (35.77%) 1,082,022,067 L1-dcache-load-misses # 45.41% of all L1-dcache accesses ( +- 0.02% ) (35.74%) 47,164,491 L1-icache-loads # 18.828 M/sec ( +- 0.37% ) (35.70%) 474,535 L1-icache-load-misses # 0.99% of all L1-icache accesses ( +- 2.93% ) (35.66%) 1,477,334 dTLB-loads # 589.750 K/sec ( +- 5.12% ) (35.65%) 624,125 dTLB-load-misses # 56.24% of all dTLB cache accesses ( +- 5.66% ) (35.65%) 0 iTLB-loads # 0.000 /sec (35.65%) 1,626 iTLB-load-misses # 7069.57% of all iTLB cache accesses ( +-283.51% ) (35.65%) 2.50623 +- 0.00691 seconds time elapsed ( +- 0.28% ) Performance counter stats for 'numactl -m 0 -N 0 mm/map_hugetlb_1G' (10 runs): 2,506.50 msec task-clock # 0.995 CPUs utilized ( +- 0.17% ) 4 context-switches # 1.589 /sec ( +- 9.28% ) 0 cpu-migrations # 0.000 /sec 214 page-faults # 84.997 /sec ( +- 0.13% ) 7,821,519,053 cycles # 3.107 GHz ( +- 0.17% ) (35.72%) 2,037,744 stalled-cycles-frontend # 0.03% frontend cycles idle ( +- 25.62% ) (35.73%) 6,578,899 stalled-cycles-backend # 0.08% backend cycles idle ( +- 2.65% ) (35.73%) 468,648,780 instructions # 0.06 insn per cycle # 0.01 stalled cycles per insn ( +- 0.10% ) (35.73%) 116,267,370 branches # 46.179 M/sec ( +- 0.08% ) (35.73%) 111,966 branch-misses # 0.10% of all branches ( +- 2.98% ) (35.72%) 2,294,727,165 L1-dcache-loads # 911.424 M/sec ( +- 0.02% ) (35.71%) 1,076,156,463 L1-dcache-load-misses # 46.88% of all L1-dcache accesses ( +- 0.01% ) (35.70%) 26,093,151 L1-icache-loads # 10.364 M/sec ( +- 0.21% ) (35.71%) 132,944 L1-icache-load-misses # 0.51% of all L1-icache accesses ( +- 0.55% ) (35.70%) 30,925 dTLB-loads # 12.283 K/sec ( +- 5.70% ) (35.71%) 27,437 dTLB-load-misses # 86.22% of all dTLB cache accesses ( +- 1.98% ) (35.70%) 0 iTLB-loads # 0.000 /sec (35.71%) 11 iTLB-load-misses # 62.50% of all iTLB cache accesses ( +-140.21% ) (35.70%) 2.51890 +- 0.00433 seconds time elapsed ( +- 0.17% ) Performance counter stats for 'numactl -m 0 -N 0 x86/map_hugetlb_1G' (10 runs): 1,013.59 msec task-clock # 1.001 CPUs utilized ( +- 0.07% ) 2 context-switches # 1.978 /sec ( +- 12.91% ) 1 cpu-migrations # 0.989 /sec 213 page-faults # 210.634 /sec ( +- 0.17% ) 3,169,391,694 cycles # 3.134 GHz ( +- 0.07% ) (35.53%) 109,925 stalled-cycles-frontend # 0.00% frontend cycles idle ( +- 5.56% ) (35.63%) 950,638,913 stalled-cycles-backend # 30.06% backend cycles idle ( +- 5.06% ) (35.73%) 51,189,571 instructions # 0.02 insn per cycle # 21.03 stalled cycles per insn ( +- 1.22% ) (35.82%) 9,545,941 branches # 9.440 M/sec ( +- 1.50% ) (35.92%) 86,836 branch-misses # 0.88% of all branches ( +- 3.74% ) (36.00%) 46,109,587 L1-dcache-loads # 45.597 M/sec ( +- 3.92% ) (35.96%) 13,796,172 L1-dcache-load-misses # 41.77% of all L1-dcache accesses ( +- 4.81% ) (35.85%) 1,179,166 L1-icache-loads # 1.166 M/sec ( +- 1.22% ) (35.77%) 21,528 L1-icache-load-misses # 1.90% of all L1-icache accesses ( +- 1.85% ) (35.66%) 14,529 dTLB-loads # 14.368 K/sec ( +- 4.65% ) (35.57%) 8,505 dTLB-load-misses # 67.88% of all dTLB cache accesses ( +- 5.61% ) (35.52%) 0 iTLB-loads # 0.000 /sec (35.52%) 8 iTLB-load-misses # 0.00% of all iTLB cache accesses ( +-267.99% ) (35.52%) 1.012439 +- 0.000723 seconds time elapsed ( +- 0.07% ) Please feel free to carry: Tested-by: Raghavendra K T <raghavendra.kt@amd.com> for any minor changes. Thanks and Regards - Raghu
Raghavendra K T <raghavendra.kt@amd.com> writes: > On 8/31/2023 12:19 AM, Ankur Arora wrote: >> This series adds a multi-page clearing primitive, clear_pages(), >> which enables more effective use of x86 string instructions by >> advertising the real region-size to be cleared. >> Region-size can be used as a hint by uarchs to optimize the >> clearing. >> Also add allow_resched() which marks a code-section as allowing >> rescheduling in the irqentry_exit path. This allows clear_pages() >> to get by without having to call cond_sched() periodically. >> (preempt_model_full() already handles this via >> irqentry_exit_cond_resched(), so we handle this similarly for >> preempt_model_none() and preempt_model_voluntary().) >> > > Hello Ankur, > Thansk for the patches. > > I tried the patches, Improvements look similar to V1 (even without > circuitous chunk optimizations.) Thanks for testing Raghu. > STill we see similar 50-60% improvement for 1G and 2M page sizes. > > SUT: Bergamo > CPU family: 25 > Model: 160 > Thread(s) per core: 2 > Core(s) per socket: 128 > Socket(s): 2 > > NUMA: > NUMA node(s): 2 > NUMA node0 CPU(s): 0-127,256-383 > NUMA node1 CPU(s): 128-255,384-511 > > Test: Use mmap(MAP_HUGETLB) to demand a fault on 64GB region (NUMA node0), for > both base-hugepage-size=2M and 1GB > Current result is with thp = always, but madv also did not make much difference. > perf stat -r 10 -d -d numactl -m 0 -N 0 <test> > > time in seconds elapsed (average of 10 runs) (lower = better) > > Result: > base: mm/clear_huge_page > patched: x86/clear_huge_page > > page-size base patched Improvement % > 2M 5.0779 2.50623 50.64 > 1G 2.50623 1.012439 59.60 Seems like Bergamo improves over Milan for both 4K BW, and also for extent=2MB/extent=1GB. > Please feel free to carry: > > Tested-by: Raghavendra K T <raghavendra.kt@amd.com> > for any minor changes. Thank you. Will add. -- ankur
Mateusz Guzik <mjguzik@gmail.com> writes: > On Wed, Aug 30, 2023 at 11:49:49AM -0700, Ankur Arora wrote: >> This series adds a multi-page clearing primitive, clear_pages(), >> which enables more effective use of x86 string instructions by >> advertising the real region-size to be cleared. >> >> Region-size can be used as a hint by uarchs to optimize the >> clearing. >> >> Also add allow_resched() which marks a code-section as allowing >> rescheduling in the irqentry_exit path. This allows clear_pages() >> to get by without having to call cond_sched() periodically. >> (preempt_model_full() already handles this via >> irqentry_exit_cond_resched(), so we handle this similarly for >> preempt_model_none() and preempt_model_voluntary().) >> >> Performance >> == >> >> With this demand fault performance gets a decent increase: >> >> *Milan* mm/clear_huge_page x86/clear_huge_page change >> (GB/s) (GB/s) >> >> pg-sz=2MB 14.55 19.29 +32.5% >> pg-sz=1GB 19.34 49.60 +156.4% >> >> Milan (and some other AMD Zen uarchs tested) take advantage of the >> hint to elide cacheline allocation for pg-sz=1GB. The cut-off for >> this optimization seems to be at around region-size > LLC-size so >> the pg-sz=2MB load still allocates cachelines. >> > > Have you benchmarked clzero? It is an AMD-specific instruction issuing > non-temporal stores. It is definitely something to try out for 1G pages. Thanks for the suggestion. Been a little while, but see the numbers here: https://lore.kernel.org/linux-mm/20220606203725.1313715-15-ankur.a.arora@oracle.com/ > One would think rep stosq has to be at least not worse since the CPU is > explicitly told what to do and is free to optimize it however it sees > fit, but the rep prefix has a long history of underperforming. I agree that historically REP variants have been all over the place. But, if you look at the numbers, REP; STOS and CLZERO are pretty close, at least for current generation of AMD uarchs. Now, current uarch performance is no guarantee for future uarchs, but if the kernel uses REP; STOS in performance paths, then hopefully they'll also shows up in internal CPU regression benchmarks which might mean that the high performance persists. That said, I think using CLZERO/MOVNT is a good idea -- though, as a fallback option or where it is better to send an explicit hint while say, clearing a 2MB region. Thanks Ankur > I'm not saying it is going to be better, but that this should be tested, > albeit one can easily argue this can be done at a later date. > > > I would do it myself but my access to AMD CPUs is limited. > >> >> *Icelakex* mm/clear_huge_page x86/clear_huge_page change >> (GB/s) (GB/s) >> >> pg-sz=2MB 9.19 12.94 +40.8% >> pg-sz=1GB 9.36 12.97 +38.5% >> >> Icelakex sees a decent improvement in performance but for both >> region-sizes does continue to allocate cachelines. >> >> >> Negative: there is, a downside to clearing in larger chunks: the >> current approach clears page-at-a-time, narrowing towards >> the faulting subpage. This has better cache characteristics for >> some sequential access workloads where subpages near the faulting >> page have a greater likelihood of access. >> >> I'm not sure if there are real cases which care about this workload >> but one example is the vm-scalability/case-anon-w-seq-hugetlb test. >> This test starts a process for each online CPU, with each process >> writing sequentially to its set of hugepages. >> >> The bottleneck here is the memory pipe and so the improvement in >> stime is limited, and because the clearing is less cache-optimal >> now, utime suffers from worse user cache misses. >> >> *Icelakex* mm/clear_huge_page x86/clear_huge_page change >> (tasks=128, mem=4GB/task) >> >> stime 286.8 +- 3.6% 243.9 +- 4.1% -14.9% >> utime 497.7 +- 4.1% 553.5 +- 2.0% +11.2% >> wall-clock 6.9 +- 2.8% 7.0 +- 1.4% + 1.4% >> >> >> *Milan* mm/clear_huge_page x86/clear_huge_page change >> (mem=1GB/task, tasks=512) >> >> stime 501.3 +- 1.4% 498.0 +- 0.9% -0.5% >> utime 298.7 +- 1.1% 335.0 +- 2.2% +12.1% >> wall-clock 3.5 +- 2.8% 3.8 +- 2.6% +8.5% >> >> The same test performs better if we have a smaller number of processes, >> since there is more backend BW available, and thus the improved stime >> compensates for the worse utime. >> >> This could be improved by using more circuitous chunking (somewhat >> like this: >> https://lore.kernel.org/lkml/20220606203725.1313715-1-ankur.a.arora@oracle.com/). >> But I'm not sure if it is worth doing. Opinions? >> >> Patches >> == >> >> Patch 1, 2, 3: >> "mm/clear_huge_page: allow arch override for clear_huge_page()", >> "mm/huge_page: separate clear_huge_page() and copy_huge_page()", >> "mm/huge_page: cleanup clear_/copy_subpage()" >> are minor. The first one allows clear_huge_page() to have an >> arch specific version and the other two are mechanical cleanup >> patches. >> >> Patches 3, 4, 5: >> "x86/clear_page: extend clear_page*() for multi-page clearing", >> "x86/clear_page: add clear_pages()", >> "x86/clear_huge_page: multi-page clearing" >> define the x86 specific clear_pages() and clear_huge_pages(). >> >> Patches 6, 7, 8: >> "sched: define TIF_ALLOW_RESCHED" >> "irqentry: define irqentry_exit_allow_resched()" >> which defines allow_resched() to demarcate preemptible sections. >> >> This gets used in patch 9: >> "x86/clear_huge_page: make clear_contig_region() preemptible". >> >> Changelog: >> >> v2: >> - Addressed review comments from peterz, tglx. >> - Removed clear_user_pages(), and CONFIG_X86_32:clear_pages() >> - General code cleanup >> >> Also at: >> github.com/terminus/linux clear-pages.v2 >> >> Comments appreciated! >> >> Ankur Arora (9): >> mm/clear_huge_page: allow arch override for clear_huge_page() >> mm/huge_page: separate clear_huge_page() and copy_huge_page() >> mm/huge_page: cleanup clear_/copy_subpage() >> x86/clear_page: extend clear_page*() for multi-page clearing >> x86/clear_page: add clear_pages() >> x86/clear_huge_page: multi-page clearing >> sched: define TIF_ALLOW_RESCHED >> irqentry: define irqentry_exit_allow_resched() >> x86/clear_huge_page: make clear_contig_region() preemptible >> >> arch/x86/include/asm/page_64.h | 27 +++-- >> arch/x86/include/asm/thread_info.h | 2 + >> arch/x86/lib/clear_page_64.S | 52 ++++++--- >> arch/x86/mm/hugetlbpage.c | 59 ++++++++++ >> include/linux/entry-common.h | 13 +++ >> include/linux/sched.h | 30 +++++ >> kernel/entry/common.c | 13 ++- >> kernel/sched/core.c | 32 ++--- >> mm/memory.c | 181 +++++++++++++++++------------ >> 9 files changed, 297 insertions(+), 112 deletions(-) >> >> -- >> 2.31.1 >> >> -- ankur
On 9/3/2023 1:44 PM, Mateusz Guzik wrote: > On Wed, Aug 30, 2023 at 11:49:49AM -0700, Ankur Arora wrote: >> This series adds a multi-page clearing primitive, clear_pages(), >> which enables more effective use of x86 string instructions by >> advertising the real region-size to be cleared. >> >> Region-size can be used as a hint by uarchs to optimize the >> clearing. >> >> Also add allow_resched() which marks a code-section as allowing >> rescheduling in the irqentry_exit path. This allows clear_pages() >> to get by without having to call cond_sched() periodically. >> (preempt_model_full() already handles this via >> irqentry_exit_cond_resched(), so we handle this similarly for >> preempt_model_none() and preempt_model_voluntary().) >> >> Performance >> == >> >> With this demand fault performance gets a decent increase: >> >> *Milan* mm/clear_huge_page x86/clear_huge_page change >> (GB/s) (GB/s) >> >> pg-sz=2MB 14.55 19.29 +32.5% >> pg-sz=1GB 19.34 49.60 +156.4% >> >> Milan (and some other AMD Zen uarchs tested) take advantage of the >> hint to elide cacheline allocation for pg-sz=1GB. The cut-off for >> this optimization seems to be at around region-size > LLC-size so >> the pg-sz=2MB load still allocates cachelines. >> > > Have you benchmarked clzero? It is an AMD-specific instruction issuing > non-temporal stores. It is definitely something to try out for 1G pages. > > One would think rep stosq has to be at least not worse since the CPU is > explicitly told what to do and is free to optimize it however it sees > fit, but the rep prefix has a long history of underperforming. > > I'm not saying it is going to be better, but that this should be tested, > albeit one can easily argue this can be done at a later date. > > I would do it myself but my access to AMD CPUs is limited. > Hello Mateuz, I plugged in CLZERO unconditionally (even for coherent path with sfence) for my earlier experimets on top of this series. Test: Use mmap(MAP_HUGETLB) to demand a fault on 64GB region (NUMA node0), for both base-hugepage-size=2M and 1GB perf stat -r 10 -d -d numactl -m 0 -N 0 <test> SUT: AMD Bergamo with 2 node/2 socket 128 cores per socket. From that I see time taken is: for 2M: 1.092125 for 1G: 0.997661 So overall for 64GB size experiment result look like this: Time taken for 64GB region, (lesser = better) page-size base patched (gain%) patched-clzero (gain%) 2M 5.0779 2.50623 (50.64) 1.092125 (78) 1G 2.50623 1.012439 (59.60) 0.997661 (60) In summary I further see improvements for even for 2M base size (2.5x). Overall CLZERO clearing is promising. But we may need threshold tuning and hint passing as done in Ankurs' Link: https://lore.kernel.org/lkml/20220606202109.1306034-1-ankur.a.arora@oracle.com/ on top of current series. I need to experiment with different chunk size as well as base size further. (both clzero and rep stos) Thanks and Regards - Raghu Run Details: Performance counter stats for 'numactl -m 0 -N 0 map_hugetlb_1G' (10 runs): 996.34 msec task-clock # 0.999 CPUs utilized ( +- 0.02% ) 2 context-switches # 2.007 /sec ( +- 21.34% ) 0 cpu-migrations # 0.000 /sec 212 page-faults # 212.735 /sec ( +- 0.20% ) 3,116,497,471 cycles # 3.127 GHz ( +- 0.02% ) (35.66%) 100,343 stalled-cycles-frontend # 0.00% frontend cycles idle ( +- 16.85% ) (35.75%) 1,369,118 stalled-cycles-backend # 0.04% backend cycles idle ( +- 3.45% ) (35.86%) 4,325,987,025 instructions # 1.39 insn per cycle # 0.00 stalled cycles per insn ( +- 0.02% ) (35.87%) 1,078,119,163 branches # 1.082 G/sec ( +- 0.01% ) (35.87%) 87,907 branch-misses # 0.01% of all branches ( +- 5.22% ) (35.83%) 12,337,100 L1-dcache-loads # 12.380 M/sec ( +- 5.44% ) (35.74%) 280,300 L1-dcache-load-misses # 2.48% of all L1-dcache accesses ( +- 5.74% ) (35.64%) 1,464,549 L1-icache-loads # 1.470 M/sec ( +- 1.61% ) (35.63%) 30,659 L1-icache-load-misses # 2.12% of all L1-icache accesses ( +- 3.30% ) (35.62%) 17,366 dTLB-loads # 17.426 K/sec ( +- 5.52% ) (35.63%) 11,774 dTLB-load-misses # 81.79% of all dTLB cache accesses ( +- 7.94% ) (35.63%) 0 iTLB-loads # 0.000 /sec (35.63%) 2 iTLB-load-misses # 0.00% of all iTLB cache accesses ( +-342.39% ) (35.64%) 0.997661 +- 0.000150 seconds time elapsed ( +- 0.02% ) Performance counter stats for 'numactl -m 0 -N 0 map_hugetlb' (10 runs): 1,089.97 msec task-clock # 0.998 CPUs utilized ( +- 0.03% ) 3 context-switches # 2.750 /sec ( +- 15.11% ) 0 cpu-migrations # 0.000 /sec 32,917 page-faults # 30.172 K/sec ( +- 0.00% ) 3,408,713,422 cycles # 3.124 GHz ( +- 0.03% ) (35.60%) 982,417 stalled-cycles-frontend # 0.03% frontend cycles idle ( +- 2.77% ) (35.60%) 8,495,409 stalled-cycles-backend # 0.25% backend cycles idle ( +- 6.12% ) (35.59%) 4,970,939,278 instructions # 1.46 insn per cycle # 0.00 stalled cycles per insn ( +- 0.04% ) (35.64%) 1,196,644,653 branches # 1.097 G/sec ( +- 0.03% ) (35.73%) 196,584 branch-misses # 0.02% of all branches ( +- 2.79% ) (35.78%) 226,254,284 L1-dcache-loads # 207.388 M/sec ( +- 0.23% ) (35.78%) 1,161,607 L1-dcache-load-misses # 0.52% of all L1-dcache accesses ( +- 3.27% ) (35.78%) 21,757,775 L1-icache-loads # 19.943 M/sec ( +- 0.66% ) (35.77%) 165,503 L1-icache-load-misses # 0.78% of all L1-icache accesses ( +- 3.11% ) (35.78%) 1,118,573 dTLB-loads # 1.025 M/sec ( +- 1.38% ) (35.78%) 415,943 dTLB-load-misses # 37.10% of all dTLB cache accesses ( +- 1.12% ) (35.78%) 36 iTLB-loads # 32.998 /sec ( +- 18.47% ) (35.74%) 49,785 iTLB-load-misses # 270570.65% of all iTLB cache accesses ( +- 0.34% ) (35.65%) 1.092125 +- 0.000350 seconds time elapsed ( +- 0.03% )