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【OLK-6.6】回合6.7至6.6-mm: PCP high auto-tuning
Done
#I8JXIR
Requirement
各色浮雕
Opened this issue
2023-11-28 09:28
<!-- #请根据issue的类型在标题右侧下拉框中选择对应的选项(需求、缺陷或CVE等)--> <!-- #请根据issue相关的版本在里程碑中选择对应的节点,若是与版本无关,请选择“不关联里程碑”--> 【特性描述】 不同工作负载的页面分配性能要求通常是不同的。因此,我们需要自动调整每个 CPU 的 pcp(每个 CPU 页面集)的大小以优化页面分配性能。 引入config 配置:PCP_BATCH_SCALE_MAX , default 5, range 0 6 该系列的补丁如下: [1/9] mm, pcp: avoid to drain PCP when process exit [2/9] cacheinfo: calculate per-CPU data cache size [3/9] mm, pcp: reduce lock contention for draining high-order pages [4/9] mm: restrict the pcp batch scale factor to avoid too long latency [5/9] mm, page_alloc: scale the number of pages that are batch allocated [6/9] mm: add framework for PCP high auto-tuning [7/9] mm: tune PCP high automatically [8/9] mm, pcp: decrease PCP high if free pages < high watermark [9/9] mm, pcp: reduce detecting time of consecutive high order page freeing 补丁 [1/9]、[2/9]、[3/9] 优化了连续释放高阶页时 PCP 的耗尽。 补丁 [4/9]、[5/9] 优化了批量释放和分配。 补丁 [6/9]、[7/9]、[8/9] 实现并优化了 PCP 高自动调整方法。 补丁 [9/9] 在 PCP 高自动调整的基础上,优化了连续高阶页面释放的 PCP 的耗尽,减少zone 锁的争用。 The test results for patches with performance impact are as follows, kbuild ====== On a 2-socket Intel server with 224 logical CPU, we run 8 kbuild instances in parallel (each with `make -j 28`) in 8 cgroup. This simulates the kbuild server that is used by 0-Day kbuild service. build time lock contend% free_high alloc_zone ---------- ---------- --------- ---------- base 100.0 14.0 100.0 100.0 patch1 99.5 12.8 19.5 95.6 patch3 99.4 12.6 7.1 95.6 patch5 98.6 11.0 8.1 97.1 patch7 95.1 0.5 2.8 15.6 patch9 95.0 1.0 8.8 20.0 The PCP draining optimization (patch [1/9], [3/9]) and PCP batch allocation optimization (patch [5/9]) reduces zone lock contention a little. The PCP high auto-tuning (patch [7/9], [9/9]) reduces build time visibly. Where the tuning target: the number of pages allocated from zone reduces greatly. So, the zone contention cycles% reduces greatly. With PCP tuning patches (patch [7/9], [9/9]), the average used memory during test increases up to 18.4% because more pages are cached in PCP. But at the end of the test, the number of the used memory decreases to the same level as that of the base patch. That is, the pages cached in PCP will be released to zone after not being used actively. netperf SCTP_STREAM_MANY ======================== On a 2-socket Intel server with 128 logical CPU, we tested SCTP_STREAM_MANY test case of netperf test suite with 64-pair processes. score lock contend% free_high alloc_zone cache miss rate% ----- ---------- --------- ---------- ---------------- base 100.0 2.1 100.0 100.0 1.3 patch1 99.4 2.1 99.4 99.4 1.3 patch3 106.4 1.3 13.3 106.3 1.3 patch5 106.0 1.2 13.2 105.9 1.3 patch7 103.4 1.9 6.7 90.3 7.6 patch9 108.6 1.3 13.7 108.6 1.3 The PCP draining optimization (patch [1/9]+[3/9]) improves performance. The PCP high auto-tuning (patch [7/9]) reduces performance a little because PCP draining cannot be triggered in time sometimes. So, the cache miss rate% increases. The further PCP draining optimization (patch [9/9]) based on PCP tuning restore the performance. lmbench3 UNIX (AF_UNIX) ======================= On a 2-socket Intel server with 128 logical CPU, we tested UNIX (AF_UNIX socket) test case of lmbench3 test suite with 16-pair processes. score lock contend% free_high alloc_zone cache miss rate% ----- ---------- --------- ---------- ---------------- base 100.0 51.4 100.0 100.0 0.2 patch1 116.8 46.1 69.5 104.3 0.2 patch3 199.1 21.3 7.0 104.9 0.2 patch5 200.0 20.8 7.1 106.9 0.3 patch7 191.6 19.9 6.8 103.8 2.8 patch9 193.4 21.7 7.0 104.7 2.1 The PCP draining optimization (patch [1/9], [3/9]) improves performance much. The PCP tuning (patch [7/9]) reduces performance a little because PCP draining cannot be triggered in time sometimes. The further PCP draining optimization (patch [9/9]) based on PCP tuning restores the performance partly. The patchset adds several fields in struct per_cpu_pages. The struct layout before/after the patchset is as follows, base ==== struct per_cpu_pages { spinlock_t lock; /* 0 4 */ int count; /* 4 4 */ int high; /* 8 4 */ int batch; /* 12 4 */ short int free_factor; /* 16 2 */ short int expire; /* 18 2 */ /* XXX 4 bytes hole, try to pack */ struct list_head lists[13]; /* 24 208 */ /* size: 256, cachelines: 4, members: 7 */ /* sum members: 228, holes: 1, sum holes: 4 */ /* padding: 24 */ } __attribute__((__aligned__(64))); patched ======= struct per_cpu_pages { spinlock_t lock; /* 0 4 */ int count; /* 4 4 */ int high; /* 8 4 */ int high_min; /* 12 4 */ int high_max; /* 16 4 */ int batch; /* 20 4 */ u8 flags; /* 24 1 */ u8 alloc_factor; /* 25 1 */ u8 expire; /* 26 1 */ /* XXX 1 byte hole, try to pack */ short int free_count; /* 28 2 */ /* XXX 2 bytes hole, try to pack */ struct list_head lists[13]; /* 32 208 */ /* size: 256, cachelines: 4, members: 11 */ /* sum members: 237, holes: 2, sum holes: 3 */ /* padding: 16 */ } __attribute__((__aligned__(64))); The size of the struct doesn't changed with the patchset. 【特性竞争力】 1)优化进程退出时高级页面释放导致PCP 的耗尽 【硬件架构】 NoArch 【特性约束】 NA 【涉及仓库】 【交付个人/团队】
<!-- #请根据issue的类型在标题右侧下拉框中选择对应的选项(需求、缺陷或CVE等)--> <!-- #请根据issue相关的版本在里程碑中选择对应的节点,若是与版本无关,请选择“不关联里程碑”--> 【特性描述】 不同工作负载的页面分配性能要求通常是不同的。因此,我们需要自动调整每个 CPU 的 pcp(每个 CPU 页面集)的大小以优化页面分配性能。 引入config 配置:PCP_BATCH_SCALE_MAX , default 5, range 0 6 该系列的补丁如下: [1/9] mm, pcp: avoid to drain PCP when process exit [2/9] cacheinfo: calculate per-CPU data cache size [3/9] mm, pcp: reduce lock contention for draining high-order pages [4/9] mm: restrict the pcp batch scale factor to avoid too long latency [5/9] mm, page_alloc: scale the number of pages that are batch allocated [6/9] mm: add framework for PCP high auto-tuning [7/9] mm: tune PCP high automatically [8/9] mm, pcp: decrease PCP high if free pages < high watermark [9/9] mm, pcp: reduce detecting time of consecutive high order page freeing 补丁 [1/9]、[2/9]、[3/9] 优化了连续释放高阶页时 PCP 的耗尽。 补丁 [4/9]、[5/9] 优化了批量释放和分配。 补丁 [6/9]、[7/9]、[8/9] 实现并优化了 PCP 高自动调整方法。 补丁 [9/9] 在 PCP 高自动调整的基础上,优化了连续高阶页面释放的 PCP 的耗尽,减少zone 锁的争用。 The test results for patches with performance impact are as follows, kbuild ====== On a 2-socket Intel server with 224 logical CPU, we run 8 kbuild instances in parallel (each with `make -j 28`) in 8 cgroup. This simulates the kbuild server that is used by 0-Day kbuild service. build time lock contend% free_high alloc_zone ---------- ---------- --------- ---------- base 100.0 14.0 100.0 100.0 patch1 99.5 12.8 19.5 95.6 patch3 99.4 12.6 7.1 95.6 patch5 98.6 11.0 8.1 97.1 patch7 95.1 0.5 2.8 15.6 patch9 95.0 1.0 8.8 20.0 The PCP draining optimization (patch [1/9], [3/9]) and PCP batch allocation optimization (patch [5/9]) reduces zone lock contention a little. The PCP high auto-tuning (patch [7/9], [9/9]) reduces build time visibly. Where the tuning target: the number of pages allocated from zone reduces greatly. So, the zone contention cycles% reduces greatly. With PCP tuning patches (patch [7/9], [9/9]), the average used memory during test increases up to 18.4% because more pages are cached in PCP. But at the end of the test, the number of the used memory decreases to the same level as that of the base patch. That is, the pages cached in PCP will be released to zone after not being used actively. netperf SCTP_STREAM_MANY ======================== On a 2-socket Intel server with 128 logical CPU, we tested SCTP_STREAM_MANY test case of netperf test suite with 64-pair processes. score lock contend% free_high alloc_zone cache miss rate% ----- ---------- --------- ---------- ---------------- base 100.0 2.1 100.0 100.0 1.3 patch1 99.4 2.1 99.4 99.4 1.3 patch3 106.4 1.3 13.3 106.3 1.3 patch5 106.0 1.2 13.2 105.9 1.3 patch7 103.4 1.9 6.7 90.3 7.6 patch9 108.6 1.3 13.7 108.6 1.3 The PCP draining optimization (patch [1/9]+[3/9]) improves performance. The PCP high auto-tuning (patch [7/9]) reduces performance a little because PCP draining cannot be triggered in time sometimes. So, the cache miss rate% increases. The further PCP draining optimization (patch [9/9]) based on PCP tuning restore the performance. lmbench3 UNIX (AF_UNIX) ======================= On a 2-socket Intel server with 128 logical CPU, we tested UNIX (AF_UNIX socket) test case of lmbench3 test suite with 16-pair processes. score lock contend% free_high alloc_zone cache miss rate% ----- ---------- --------- ---------- ---------------- base 100.0 51.4 100.0 100.0 0.2 patch1 116.8 46.1 69.5 104.3 0.2 patch3 199.1 21.3 7.0 104.9 0.2 patch5 200.0 20.8 7.1 106.9 0.3 patch7 191.6 19.9 6.8 103.8 2.8 patch9 193.4 21.7 7.0 104.7 2.1 The PCP draining optimization (patch [1/9], [3/9]) improves performance much. The PCP tuning (patch [7/9]) reduces performance a little because PCP draining cannot be triggered in time sometimes. The further PCP draining optimization (patch [9/9]) based on PCP tuning restores the performance partly. The patchset adds several fields in struct per_cpu_pages. The struct layout before/after the patchset is as follows, base ==== struct per_cpu_pages { spinlock_t lock; /* 0 4 */ int count; /* 4 4 */ int high; /* 8 4 */ int batch; /* 12 4 */ short int free_factor; /* 16 2 */ short int expire; /* 18 2 */ /* XXX 4 bytes hole, try to pack */ struct list_head lists[13]; /* 24 208 */ /* size: 256, cachelines: 4, members: 7 */ /* sum members: 228, holes: 1, sum holes: 4 */ /* padding: 24 */ } __attribute__((__aligned__(64))); patched ======= struct per_cpu_pages { spinlock_t lock; /* 0 4 */ int count; /* 4 4 */ int high; /* 8 4 */ int high_min; /* 12 4 */ int high_max; /* 16 4 */ int batch; /* 20 4 */ u8 flags; /* 24 1 */ u8 alloc_factor; /* 25 1 */ u8 expire; /* 26 1 */ /* XXX 1 byte hole, try to pack */ short int free_count; /* 28 2 */ /* XXX 2 bytes hole, try to pack */ struct list_head lists[13]; /* 32 208 */ /* size: 256, cachelines: 4, members: 11 */ /* sum members: 237, holes: 2, sum holes: 3 */ /* padding: 16 */ } __attribute__((__aligned__(64))); The size of the struct doesn't changed with the patchset. 【特性竞争力】 1)优化进程退出时高级页面释放导致PCP 的耗尽 【硬件架构】 NoArch 【特性约束】 NA 【涉及仓库】 【交付个人/团队】
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4.19.90-2406.4.0
5.10.0-136.81.0
5.10.0-215.0.0
6.6.0-31.0.0
5.10.0-214.0.0
5.10.0-213.0.0
5.10.0-212.0.0
5.10.0-211.0.0
5.10.0-210.0.0
5.10.0-136.80.0
5.10.0-209.0.0
6.6.0-30.0.0
4.19.90-2406.3.0
5.10.0-208.0.0
6.6.0-28.0.0.34.oe2403
5.10.0-136.79.0
5.10.0-207.0.0
4.19.90-2406.2.0
5.10.0-206.0.0
5.10.0-205.0.0
5.10.0-204.0.0
5.10.0-203.0.0
5.10.0-136.78.0
5.10.0-202.0.0
4.19.90-2406.1.0
6.6.0-29.0.0
5.10.0-60.139.0
5.10.0-136.77.0
5.10.0-153.56.0
5.10.0-201.0.0
4.19.90-2405.5.0
6.6.0-28.0.0
5.10.0-153.55.0
5.10.0-136.76.0
5.10.0-60.138.0
5.10.0-200.0.0
4.19.90-2405.4.0
6.6.0-27.0.0
5.10.0-153.54.0
5.10.0-136.75.0
5.10.0-60.137.0
5.10.0-199.0.0
4.19.90-2405.3.0
6.6.0-26.0.0
4.19.90-2405.2.0
5.10.0-60.18.0.50.oe2203
6.6.0-25.0.0
6.6.0-24.0.0
5.10.0-153.53.0
5.10.0-136.74.0
5.10.0-60.136.0
5.10.0-198.0.0
4.19.90-2405.1.0
6.6.0-23.0.0
6.6.0-22.0.0
5.10.0-153.52.0
5.10.0-136.73.0
5.10.0-60.135.0
4.19.90-2404.3.0
5.10.0-197.0.0
6.6.0-21.0.0
5.10.0-153.51.0
5.10.0-136.72.0
5.10.0-60.134.0
4.19.90-2404.2.0
5.10.0-196.0.0
6.6.0-20.0.0
5.10.0-153.50.0
5.10.0-136.71.0
5.10.0-60.133.0
6.6.0-19.0.0
5.10.0-195.0.0
4.19.90-2404.1.0
6.6.0-18.0.0
6.6.0-17.0.0
6.6.0-16.0.0
5.10.0-194.0.0
5.10.0-153.49.0
5.10.0-136.70.0
5.10.0-60.132.0
6.6.0-15.0.0
6.6.0-14.0.0
5.10.0-193.0.0
5.10.0-153.48.0
5.10.0-136.69.0
5.10.0-60.131.0
4.19.90-2403.4.0
6.6.0-13.0.0
5.10.0-192.0.0
5.10.0-153.47.0
5.10.0-136.68.0
5.10.0-60.130.0
4.19.90-2403.3.0
6.6.0-12.0.0
5.10.0-191.0.0
5.10.0-153.46.0
5.10.0-136.67.0
5.10.0-60.129.0
6.6.0-11.0.0
4.19.90-2403.2.0
5.10.0-190.0.0
5.10.0-153.45.0
5.10.0-136.66.0
5.10.0-60.128.0
4.19.90-2403.1.0
4.19.90-2402.6.0
5.10.0-189.0.0
5.10.0-153.44.0
5.10.0-136.65.0
5.10.0-60.127.0
6.6.0-10.0.0
5.10.0-188.0.0
5.10.0-153.43.0
5.10.0-136.64.0
5.10.0-60.126.0
4.19.90-2402.5.0
6.6.0-9.0.0
5.10.0-187.0.0
5.10.0-153.42.0
5.10.0-136.63.0
5.10.0-60.125.0
6.6.0-8.0.0
4.19.90-2402.4.0
4.19.90-2402.3.0
4.19.90-2402.2.0
5.10.0-186.0.0
5.10.0-153.41.0
5.10.0-136.62.0
5.10.0-60.124.0
4.19.90-2402.1.0
6.6.0-7.0.0
5.10.0-185.0.0
5.10.0-153.40.0
5.10.0-136.61.0
5.10.0-60.123.0
4.19.90-2401.5.0
6.6.0-6.0.0
5.10.0-184.0.0
5.10.0-153.39.0
5.10.0-136.60.0
5.10.0-60.122.0
4.19.90-2401.4.0
6.6.0-5.0.0
5.10.0-183.0.0
5.10.0-153.38.0
5.10.0-136.59.0
5.10.0-60.121.0
4.19.90-2401.3.0
4.19.90-2401.2.0
6.6.0-4.0.0
4.19.90-2401.1.0
5.10.0-153.37.0
5.10.0-136.58.0
5.10.0-60.120.0
4.19.90-2312.6.0
4.19.90-2312.5.0
6.6.0-3.0.0
5.10.0-182.0.0
5.10.0-181.0.0
5.10.0-180.0.0
5.10.0-153.36.0
4.19.90-2312.4.0
5.10.0-179.0.0
6.6.0-2.0.0
5.10.0-178.0.0
5.10.0-177.0.0
4.19.90-2312.3.0
4.19.90-2312.2.0
5.10.0-176.0.0
5.10.0-175.0.0
4.19.90-2312.1.0
5.10.0-174.0.0
5.10.0-153.35.0
5.10.0-136.57.0
5.10.0-60.119.0
6.6.0-1.0.0
5.10.0-173.0.0
5.10.0-153.34.0
5.10.0-136.56.0
5.10.0-60.118.0
4.19.90-2311.5.0
5.10.0-172.0.0
5.10.0-171.0.0
4.19.90-2311.4.0
5.10.0-170.0.0
5.10.0-169.0.0
5.10.0-168.0.0
5.10.0-153.33.0
5.10.0-136.55.0
5.10.0-60.117.0
4.19.90-2311.3.0
5.10.0-167.0.0
5.10.0-153.32.0
5.10.0-136.54.0
5.10.0-60.116.0
4.19.90-2311.2.0
5.10.0-166.0.0
4.19.90-2311.1.0
5.10.0-165.0.0
5.10.0-153.31.0
5.10.0-136.53.0
5.10.0-60.115.0
v6.6
5.10.0-164.0.0
4.19.90-2310.4.0
4.19.90-2310.3.0
5.10.0-163.0.0
5.10.0-153.30.0
5.10.0-136.52.0
5.10.0-60.114.0
5.10.0-162.0.0
5.10.0-153.29.0
5.10.0-136.51.0
5.10.0-60.113.0
4.19.90-2310.2.0
4.19.90-2310.1.0
4.19.90-2309.5.0
6.4.0-10.1.0
5.10.0-161.0.0
6.4.0-7.0.1
6.4.0-10.0.0
6.4.0-6.0.6
6.4.0-6.0.5
6.4.0-6.0.4
6.4.0-6.0.3
6.4.0-6.0.2
6.4.0-6.0.1
5.10.0-153.28.0
5.10.0-136.50.0
5.10.0-60.112.0
4.19.90-2309.4.0
6.4.0-9.0.0
5.10.0-153.27.0
5.10.0-136.49.0
5.10.0-60.111.0
6.4.0-8.0.0
4.19.90-2309.3.0
6.4.0-7.0.0
4.19.90-2309.2.0
5.10.0-160.0.0
6.4.0-6.0.0
5.10.0-153.26.0
5.10.0-136.48.0
5.10.0-60.110.0
4.19.90-2309.1.0
6.4.0-5.0.0
6.4.0-4.0.0
6.4.0-3.0.0
4.19.90-2308.5.0
6.4.0-2.0.0
5.10.0-153.25.0
5.10.0-136.47.0
5.10.0-60.109.0
5.10.0-159.0.0
6.4.0-1.0.2
4.19.90-2308.4.0
5.10.0-153.24.0
5.10.0-136.46.0
5.10.0-60.108.0
4.19.90-2308.3.0
5.10.0-153.23.0
5.10.0-136.45.0
5.10.0-60.107.0
5.10.0-158.0.0
5.10.0-153.22.0
5.10.0-60.106.0
5.10.0-136.44.0
4.19.90-2308.2.0
5.10.0-153.21.0
5.10.0-60.105.0
5.10.0-136.43.0
4.19.90-2308.1.0
6.4.0-1.0.1
5.10.0-157.0.0
4.19.90-2307.5.0
5.10.0-153.20.0
5.10.0-60.104.0
5.10.0-136.42.0
5.10.0-153.19.0
5.10.0-60.103.0
5.10.0-136.41.0
4.19.90-2307.4.0
5.10.0-156.0.0
4.19.90-2307.3.0
5.10.0-153.18.0
5.10.0-60.102.0
5.10.0-136.40.0
6.4.0-1.0.0
4.19.90-2307.2.0
4.19.90-2307.1.0
5.10.0-60.101.0
5.10.0-153.17.0
5.10.0-136.39.0
4.19.90-2306.7.0
4.19.90-2306.6.0
5.10.0-155.0.0
5.10.0-153.16.0
4.19.90-2306.5.0
5.10.0-136.38.0
5.10.0-60.100.0
v6.4
5.10.0-153.12.0
5.10.0-153.10.0
5.10.0-60.99.0
5.10.0-136.37.0
4.19.90-2306.4.0
5.10.0-153.9.0
5.10.0-153.8.0
5.10.0-60.98.0
5.10.0-136.36.0
4.19.90-2306.3.0
5.10.0-153.6.0
5.10.0-153.5.0
5.10.0-154.0.0
5.10.0-153.4.0
4.19.90-2306.2.0
5.10.0-153.3.0
5.10.0-60.97.0
5.10.0-136.35.0
4.19.90-2306.1.0
5.10.0-153.2.0
5.10.0-153.1.0
5.10.0-60.96.0
5.10.0-136.34.0
4.19.90-2305.4.0
5.10.0-153.0.0
v6.4-rc4
5.10.0-152.0.0
4.19.90-2305.3.0
5.10.0-60.95.0
5.10.0-136.33.0
5.10.0-151.0.0
5.10.0-150.0.0
5.10.0-149.0.0
5.10.0-136.32.0
5.10.0-60.94.0
4.19.90-2305.2.0
5.10.0-60.93.0
5.10.0-136.31.0
4.19.90-2305.1.0
5.10.0-148.0.0
5.10.0-136.30.0
5.10.0-60.92.0
4.19.90-2304.5.0
v6.3
5.10.0-136.29.0
5.10.0-60.91.0
4.19.90-2304.4.0
5.10.0-136.28.0
5.10.0-60.90.0
4.19.90-2304.3.0
4.19.90-2304.2.0
5.10.0-147.0.0
4.19.90-2304.1.0
5.10.0-136.27.0
5.10.0-60.89.0
5.10.0-146.0.0
5.10.0-136.26.0
5.10.0-60.88.0
4.19.90-2303.6.0
5.10.0-60.87.0
5.10.0-136.25.0
4.19.90-2303.5.0
5.10.0-145.0.0
5.10.0-60.86.0
5.10.0-136.24.0
4.19.90-2303.4.0
5.10.0-136.23.0
5.10.0-60.85.0
4.19.90-2303.3.0
v6.1.19
4.19.90-2303.2.0
5.10.0-144.0.0
5.10.0-136.22.0
5.10.0-60.84.0
4.19.90-2303.1.0
5.10.0-60.83.0
5.10.0-136.21.0
4.19.90-2302.5.0
v6.1.14
5.10.0-143.0.0
5.10.0-60.82.0
5.10.0-136.20.0
4.19.90-2302.4.0
5.10.0-60.81.0
5.10.0-136.19.0
4.19.90-2302.3.0
5.10.0-142.0.0
4.19.90-2302.2.0
5.10.0-136.18.0
5.10.0-60.80.0
4.19.90-2302.1.0
5.10.0-60.79.0
5.10.0-136.17.0
4.19.90-2301.6.0
v6.1.8
v6.2-rc5
5.10.0-141.0.0
v6.1.7
5.10.0-136.16.0
5.10.0-60.78.0
4.19.90-2301.5.0
v6.2-rc4
v6.1.6
6.1.0-1.0.0
v6.1.5
4.19.90-2301.4.0
5.10.0-60.77.0
5.10.0-136.15.0
4.19.90-2301.3.0
4.19.90-2301.2.0
4.19.90-2301.1.0
5.10.0-136.14.2
5.10.0-60.76.0
5.10.0-140.0.0
5.10.0-136.13.2
5.10.0-60.75.0
5.10.0-60.74.0
5.10.0-136.12.2
4.19.90-2212.4.0
5.10.0-136.12.0
5.10.0-136.10.0
4.19.90-2212.3.0
5.10.0-136.8.0
5.10.0-136.7.0
5.10.0-139.0.0
5.10.0-136.6.0
5.10.0-136.5.0
5.10.0-60.73.0
5.10.0-136.4.0
5.10.0-136.3.0
5.10.0-138.0.0
5.10.0-136.2.0
5.10.0-60.72.0
5.10.0-60.71.0
5.10.0-137.0.0
5.10.0-136.1.0
v6.1
5.10.0-136.0.0
5.10.0-135.0.0
5.10.0-134.0.0
4.19.90-2212.2.0
5.10.0-133.0.0
5.10.0-60.70.0
4.19.90-2212.1.0
5.10.0-60.69.0
5.10.0-132.0.0
5.10.0-131.0.0
5.10.0-130.0.0
4.19.90-2211.6.0
5.10.0-129.0.0
5.10.0-60.68.0
4.19.90-2211.5.0
5.10.0-128.0.0
5.10.0-60.67.0
5.10.0-127.0.0
4.19.90-2211.4.0
5.10.0-60.66.0
5.10.0-126.0.0
4.19.90-2211.3.0
4.19.90-2211.2.0
5.10.0-125.0.0
5.10.0-60.65.0
5.10.0-60.64.0
4.19.90-2211.1.0
4.19.90-2210.5.0
5.10.0-123.0.0
5.10.0-60.63.0
5.10.0-60.62.0
4.19.90-2210.4.0
5.10.0-121.0.0
5.10.0-60.61.0
4.19.90-2210.3.0
5.10.0-60.60.0
5.10.0-120.0.0
5.10.0-60.59.0
5.10.0-119.0.0
4.19.90-2210.2.0
4.19.90-2210.1.0
5.10.0-118.0.0
5.10.0-106.19.0
5.10.0-60.58.0
4.19.90-2209.6.0
5.10.0-106.18.0
5.10.0-106.17.0
5.10.0-106.16.0
5.10.0-106.15.0
5.10.0-117.0.0
5.10.0-60.57.0
5.10.0-116.0.0
5.10.0-106.14.0
5.10.0-106.13.0
4.19.90-2209.5.0
4.19.90-2209.4.0
5.10.0-60.56.0
4.19.90-2209.3.0
5.10.0-106.12.0
5.10.0-106.10.0
5.10.0-106.11.0
5.10.0-60.55.0
4.19.90-2209.2.0
5.10.0-114.0.0
5.10.0-106.9.0
5.10.0-60.54.0
4.19.90-2209.1.0
5.10.0-113.0.0
5.10.0-60.53.0
5.10.0-106.8.0
4.19.90-2208.6.0
5.10.0-106.7.0
4.19.90-2208.5.0
5.10.0-112.0.0
5.10.0-106.6.0
5.10.0-60.52.0
5.10.0-60.51.0
5.10.0-106.3.1
4.19.90-2208.4.0
5.10.0-106.5.0
5.10.0-110.0.0
5.10.0-60.50.0
5.10.0-106.4.0
5.10.0-109.0.0
5.10.0-60.49.0
4.19.90-2208.3.0
4.19.90-2208.2.0
5.10.0-108.0.0
5.10.0-106.3.0
5.10.0-60.48.0
4.19.90-2208.1.0
5.10.0-106.2.0
5.10.0-107.0.0
5.10.0-60.47.0
4.19.90-2207.4.0
5.10.0-106.1.0
5.10.0-106.0.0
5.10.0-60.46.0
4.19.90-2207.3.0
5.10.0-105.0.0
5.10.0-60.45.0
5.10.0-60.44.0
5.10.0-104.0.0
5.10.0-103.0.0
5.10.0-60.43.0
4.19.90-2207.2.0
5.10.0-102.0.0
5.10.0-60.42.0
4.19.90-2207.1.0
5.10.0-101.0.0
5.10.0-60.41.0
5.10.0-100.0.0
4.19.90-2206.4.0
5.10.0-60.40.0
5.10.0-99.0.0
5.10.0-60.39.0
4.19.90-2206.3.0
5.10.0-98.0.0
5.10.0-60.38.0
4.19.90-2206.2.0
5.10.0-60.37.0
5.10.0-97.0.0
4.19.90-2206.1.0
5.10.0-60.36.0
5.10.0-96.0.0
4.19.90-2205.6.0
5.10.0-60.35.0
5.10.0-95.0.0
5.10.0-60.34.0
5.10.0-94.0.0
5.10.0-60.33.0
4.19.90-2205.5.0
5.10.0-93.0.0
5.10.0-60.32.0
5.10.0-92.0.0
5.10.0-91.0.0
5.10.0-60.31.0
5.10.0-90.0.0
5.10.0-60.30.0
4.19.90-2205.4.0
5.10.0-60.29.0
5.10.0-89.0.0
5.10.0-88.0.0
5.10.0-60.28.0
4.19.90-2205.3.0
4.19.90-2205.2.0
4.19.90-2205.1.0
5.10.0-87.0.0
5.10.0-86.0.0
5.10.0-60.27.0
5.10.0-60.26.0
5.10.0-85.0.0
5.10.0-60.25.0
5.10.0-60.24.0
5.10.0-84.0.0
4.19.90-2204.4.0
5.10.0-60.23.0
5.10.0-83.0.0
5.10.0-82.0.0
5.10.0-60.22.0
5.10.0-81.0.0
5.10.0-60.21.0
4.19.90-2204.3.0
5.10.0-80.0.0
5.10.0-60.20.0
5.10.0-60.19.0
4.19.90-2204.2.0
5.10.0-79.0.0
4.19.90-2204.1.0
4.19.90-2203.5.0
5.10.0-78.0.0
5.10.0-77.0.0
5.10.0-60.18.0
5.10.0-60.17.0
5.10.0-60.16.0
5.10.0-76.0.0
4.19.90-2203.4.0
5.10.0-75.0.0
5.10.0-60.15.0
5.10.0-74.0.0
5.10.0-60.14.0
5.10.0-73.0.0
5.10.0-60.13.0
5.10.0-60.12.0
5.10.0-72.0.0
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v2.6.32-rc6
v2.6.32-rc5
v2.6.32-rc4
v2.6.32-rc3
v2.6.32-rc1
v2.6.32-rc2
v2.6.31
v2.6.31-rc9
v2.6.31-rc8
v2.6.31-rc7
v2.6.31-rc6
v2.6.31-rc5
v2.6.31-rc4
v2.6.31-rc3
v2.6.31-rc2
v2.6.31-rc1
v2.6.30
v2.6.30-rc8
v2.6.30-rc7
v2.6.30-rc6
v2.6.30-rc5
v2.6.30-rc4
v2.6.30-rc3
v2.6.30-rc2
v2.6.30-rc1
v2.6.29
v2.6.29-rc8
v2.6.29-rc7
v2.6.29-rc6
v2.6.29-rc5
v2.6.29-rc4
v2.6.29-rc3
v2.6.29-rc2
v2.6.29-rc1
v2.6.28
v2.6.28-rc9
v2.6.28-rc8
v2.6.28-rc7
v2.6.28-rc6
v2.6.28-rc5
v2.6.28-rc4
v2.6.28-rc3
v2.6.28-rc2
v2.6.28-rc1
v2.6.27
v2.6.27-rc9
v2.6.27-rc8
v2.6.27-rc7
v2.6.27-rc6
v2.6.27-rc5
v2.6.27-rc4
v2.6.27-rc3
v2.6.27-rc2
v2.6.27-rc1
v2.6.26
v2.6.26-rc9
v2.6.26-rc8
v2.6.26-rc7
v2.6.26-rc6
v2.6.26-rc5
v2.6.26-rc4
v2.6.26-rc3
v2.6.26-rc2
v2.6.26-rc1
v2.6.25
v2.6.25-rc9
v2.6.25-rc8
v2.6.25-rc7
v2.6.25-rc6
v2.6.25-rc5
v2.6.25-rc4
v2.6.25-rc3
v2.6.25-rc2
v2.6.25-rc1
v2.6.24
v2.6.24-rc8
v2.6.24-rc7
v2.6.24-rc6
v2.6.24-rc5
v2.6.24-rc4
v2.6.24-rc3
v2.6.24-rc2
v2.6.24-rc1
v2.6.23
v2.6.23-rc9
v2.6.23-rc8
v2.6.23-rc7
v2.6.23-rc6
v2.6.23-rc5
v2.6.23-rc4
v2.6.23-rc3
v2.6.23-rc2
v2.6.23-rc1
v2.6.22
v2.6.22-rc7
v2.6.22-rc6
v2.6.22-rc5
v2.6.22-rc4
v2.6.22-rc3
v2.6.22-rc2
v2.6.22-rc1
v2.6.21
v2.6.21-rc7
v2.6.21-rc6
v2.6.21-rc5
v2.6.21-rc4
v2.6.21-rc3
v2.6.21-rc2
v2.6.21-rc1
v2.6.20
v2.6.20-rc7
v2.6.20-rc6
v2.6.20-rc5
v2.6.20-rc4
v2.6.20-rc3
v2.6.20-rc2
v2.6.20-rc1
v2.6.19
v2.6.19-rc6
v2.6.19-rc5
v2.6.19-rc4
v2.6.19-rc3
v2.6.19-rc2
v2.6.19-rc1
v2.6.18
v2.6.18-rc7
v2.6.18-rc6
v2.6.18-rc5
v2.6.18-rc4
v2.6.18-rc3
v2.6.18-rc2
v2.6.18-rc1
v2.6.17
v2.6.17-rc6
v2.6.17-rc5
v2.6.17-rc4
v2.6.17-rc3
v2.6.17-rc2
v2.6.17-rc1
v2.6.16
v2.6.16-rc6
v2.6.16-rc5
v2.6.16-rc4
v2.6.16-rc3
v2.6.16-rc2
v2.6.16-rc1
v2.6.15
v2.6.15-rc7
v2.6.15-rc6
v2.6.15-rc5
v2.6.15-rc4
v2.6.15-rc3
v2.6.15-rc2
v2.6.15-rc1
v2.6.14
v2.6.14-rc5
v2.6.14-rc4
v2.6.14-rc3
v2.6.14-rc2
v2.6.14-rc1
v2.6.13
v2.6.13-rc7
v2.6.13-rc6
v2.6.13-rc5
v2.6.13-rc4
v2.6.11
v2.6.11-tree
v2.6.12
v2.6.12-rc2
v2.6.12-rc3
v2.6.12-rc4
v2.6.12-rc5
v2.6.12-rc6
v2.6.13-rc1
v2.6.13-rc2
v2.6.13-rc3
Planed to start   -   Planed to end
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Top Level: Low
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Serious
Main
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Unimportant
Duration
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参与者(1)
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1
https://gitee.com/openeuler/kernel.git
git@gitee.com:openeuler/kernel.git
openeuler
kernel
kernel
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