Disable timer interrupt on Linux kernel - linux-kernel

I want to disable the timer interrupt on some of the cores (1-2) on my machine which is a x86 running centos 7 with rt patch, both cores are isolated cores with nohz_full, (you can see the cmdline) but timer interrupt continues to interrupt the real time process which are running on core1 and core2.
1. uname -r
3.10.0-693.11.1.rt56.632.el7.x86_64
2. cat /proc/cmdline
BOOT_IMAGE=/vmlinuz-3.10.0-693.11.1.rt56.632.el7.x86_64 \
root=/dev/mapper/centos-root ro crashkernel=auto \
rd.lvm.lv=centos/root rd.lvm.lv=centos/swap rhgb quiet \
default_hugepagesz=2M hugepagesz=2M hugepages=1024 \
intel_iommu=on isolcpus=1-2 irqaffinity=0 intel_idle.max_cstate=0 \
processor.max_cstate=0 idle=mwait tsc=perfect rcu_nocbs=1-2 rcu_nocb_poll \
nohz_full=1-2 nmi_watchdog=0
3. cat /proc/interrupts
CPU0 CPU1 CPU2
0: 29 0 0 IO-APIC-edge timer
.....
......
NMI: 0 0 0 Non-maskable interrupts
LOC: 835205157 308723100 308384525 Local timer interrupts
SPU: 0 0 0 Spurious interrupts
PMI: 0 0 0 Performance monitoring interrupts
IWI: 0 0 0 IRQ work interrupts
RTR: 0 0 0 APIC ICR read retries
RES: 347330843 309191325 308417790 Rescheduling interrupts
CAL: 0 935 935 Function call interrupts
TLB: 320 22 58 TLB shootdowns
TRM: 0 0 0 Thermal event interrupts
THR: 0 0 0 Threshold APIC interrupts
DFR: 0 0 0 Deferred Error APIC interrupts
MCE: 0 0 0 Machine check exceptions
MCP: 2 2 2 Machine check polls
CPUs/Clocksource:
4. lscpu | grep CPU.s
CPU(s): 3
On-line CPU(s) list: 0-2
NUMA node0 CPU(s): 0-2
5. cat /sys/devices/system/clocksource/clocksource0/current_clocksource
tsc
Thanks a lot for any help.
Moses

Even with nohz_full= you get some ticks on the isolated CPUs:
Some process-handling operations still require the occasional scheduling-clock tick. These operations include calculating CPU load, maintaining sched average, computing CFS entity vruntime, computing avenrun, and carrying out load balancing. They are currently accommodated by scheduling-clock tick every second or so. On-going work will eliminate the need even for these infrequent scheduling-clock ticks.
(Documentation/timers/NO_HZ.txt, cf. (Nearly) full tickless operation in 3.10 LWN, 2013)
Thus, you have to check the rate of the local timer, e.g.:
$ perf stat -a -A -e irq_vectors:local_timer_entry sleep 120
(while your isolated threads/processes are running)
Also, nohz_full= is only effective if there is just one runnable task on each isolated core. You can check that with e.g. ps -L -e -o pid,tid,user,state,psr,cmd and cat /proc/sched_debug.
Perhaps you need to move some (kernel) tasks to you house-keeping core, e.g.:
# tuna -U -t '*' -c 0-4 -m
You can get more insights into what timers are still active by looking at /proc/timer_list.
Another method to investigate causes for possible interruption is to use the functional tracer (ftrace). See also Reducing OS jitter due to per-cpu kthreads for some examples.
I see nmi_watchdog=0 in your kernel parameters, but you don't disable the soft watchdog. Perhaps this is another timer tick source that would show up with ftrace.
You can disable all watchdogs with nowatchdog.
Btw, some of your kernel parameters seem to be off:
tsc=perfect - do you mean tsc=reliable? The 'perfect' value isn't documented in the kernel docs
idle=mwait - do you mean idle=poll? Again, I can't find the 'mwait' value in the kernel docs
intel_iommu=on - what's the purpose of this?

Related

Peculiar behaviour with Mellanox ConnectX-5 and DPDK in rxonly mode

Recently I observed a peculiar behaviour with Mellanox ConnectX-5 100 Gbps NIC. While working on 100 Gbps rxonly using DPDK rxonly mode. It was observed that I was able to receive 142 Mpps using 12 queues. However with 11 queues, it was only 96 Mpps, with 10 queues 94 Mpps, 9 queues 92 Mpps. Can anyone explain why there is a sudden/abrupt jump in capture performance from 11 queues to 12 queues?
The details of the setup is mentioned below.
I have connected two servers back to back. One of them (server-1) is used for traffic generation and the other (server-2) is used for traffic reception. In both the servers I am using Mellanox ConnectX-5 NIC.
Performance tuning parameters mentioned in section-3 of https://fast.dpdk.org/doc/perf/DPDK_19_08_Mellanox_NIC_performance_report.pdf [pg no.:11,12] has been followed
Both servers are of same configuration.
Server configuration
Processor: Intel Xeon scalable processor, 6148 series, 20 Core HT, 2.4 GHz, 27.5 L3 Cache
No. of Processor: 4 Nos.
RAM: 256 GB, 2666 MHz speed
DPDK version used is dpdk-19.11 and OS is RHEL-8.0
For traffic generation testpmd with --forward=txonly and --txonly-multi-flow is used. Command used is below.
Packet generation testpmd command in server-1
./testpmd -l 4,5,6,7,8,9,10,11,12,13,14,15,16 -n 6 -w 17:00.0,mprq_en=1,rxq_pkt_pad_en=1 --socket-mem=4096,0,0,0 -- --socket-num=0 --burst=64 --txd=4096 --rxd=4096--mbcache=512 --rxq=12 --txq=12 --nb-cores=12 -i -a --rss-ip --no-numa --forward=txonly --txonly-multi-flow
testpmd> set txpkts 64
It was able to generate 64 bytes packet at the sustained rate of 142.2 Mpps. This is used as input to the second server that works in rxonly mode. The command for reception is mentioned below
Packet Reception command with 12 cores in server-2
./testpmd -l 4,5,6,7,8,9,10,11,12,13,14,15,16 -n 6 -w 17:00.0,mprq_en=1,rxq_pkt_pad_en=1 --socket-mem=4096,0,0,0 -- --socket-num=0 --burst=64 --txd=4096 --rxd=4096--mbcache=512 --rxq=12 --txq=12 --nb-cores=12 -i -a --rss-ip --no-numa
testpmd> set fwd rxonly
testpmd> show port stats all
######################## NIC statistics for port 0 ########################
RX-packets: 1363328297 RX-missed: 0 RX-bytes: 87253027549
RX-errors: 0
RX-nombuf: 0
TX-packets: 19 TX-errors: 0 TX-bytes: 3493
Throughput (since last show)
Rx-pps: 142235725 Rx-bps: 20719963768
Tx-pps: 0 Tx-bps: 0
############################################################################
Packet Reception command with 11 cores in server-2
./testpmd -l 4,5,6,7,8,9,10,11,12,13,14,15 -n 6 -w 17:00.0,mprq_en=1,rxq_pkt_pad_en=1 --socket-mem=4096,0,0,0 -- --socket-num=0 --burst=64 --txd=4096 --rxd=4096--mbcache=512 --rxq=11 --txq=11 --nb-cores=11 -i -a --rss-ip --no-numa
testpmd> set fwd rxonly
testpmd> show port stats all
######################## NIC statistics for port 0 ########################
RX-packets: 1507398174 RX-missed: 112937160 RX-bytes: 96473484013
RX-errors: 0
RX-nombuf: 0
TX-packets: 867061720 TX-errors: 0 TX-bytes: 55491950935
Throughput (since last show)
Rx-pps: 96718960 Rx-bps: 49520107600
Tx-pps: 0 Tx-bps: 0
############################################################################
If you see there is a sudden jump in Rx-pps from 11 cores to 12 cores. This variation was not observed elsewhere like 8 to 9, 9 to 10 or 10 to 11 and so on.
Can anyone explain the reason of this sudden jump in performance.
The same experiment was conducted, this time using 11 cores for traffic generation.
./testpmd -l 4,5,6,7,8,9,10,11,12,13,14,15 -n 6 -w 17:00.0,mprq_en=1,rxq_pkt_pad_en=1 --socket-mem=4096,0,0,0 -- --socket-num=0 --burst=64 --txd=4096 --rxd=4096--mbcache=512 --rxq=11 --txq=11 --nb-cores=11 -i -a --rss-ip --no-numa --forward=txonly --txonly-multi-flow
testpmd> show port stats all
######################## NIC statistics for port 0 ########################
RX-packets: 0 RX-missed: 0 RX-bytes: 0
RX-errors: 0
RX-nombuf: 0
TX-packets: 2473087484 TX-errors: 0 TX-bytes: 158277600384
Throughput (since last show)
Rx-pps: 0 Rx-bps: 0
Tx-pps: 142227777 Tx-bps: 72820621904
############################################################################
On the capture side with 11 cores
./testpmd -l 1,2,3,4,5,6,10,11,12,13,14,15 -n 6 -w 17:00.0,mprq_en=1,rxq_pkt_pad_en=1 --socket-mem=4096,0,0,0 -- --socket-num=0 --burst=64 --txd=1024 --rxd=1024--mbcache=512 --rxq=11 --txq=11 --nb-cores=11 -i -a --rss-ip --no-numa
testpmd> set fwd rxonly
testpmd> show port stats all
######################## NIC statistics for port 0 ########################
RX-packets: 8411445440 RX-missed: 9685 RX-bytes: 538332508206
RX-errors: 0
RX-nombuf: 0
TX-packets: 0 TX-errors: 0 TX-bytes: 0
Throughput (since last show)
Rx-pps: 97597509 Rx-bps: 234643872
Tx-pps: 0 Tx-bps: 0
############################################################################
On the capture side with 12 cores
./testpmd -l 1,2,3,4,5,6,10,11,12,13,14,15,16 -n 6 -w 17:00.0,mprq_en=1,rxq_pkt_pad_en=1 --socket-mem=4096,0,0,0 -- --socket-num=0 --burst=64 --txd=1024 --rxd=1024--mbcache=512 --rxq=12 --txq=12 --nb-cores=12 -i -a --rss-ip --no-numa
testpmd> set fwd rxonly
testpmd> show port stats all
######################## NIC statistics for port 0 ########################
RX-packets: 9370629638 RX-missed: 6124 RX-bytes: 554429504128
RX-errors: 0
RX-nombuf: 0
TX-packets: 0 TX-errors: 0 TX-bytes: 0
Throughput (since last show)
Rx-pps: 140664658 Rx-bps: 123982640
Tx-pps: 0 Tx-bps: 0
############################################################################
The sudden jump in performance from 11 to 12 core still remains the same.
With DPDK LTS release for 19.11, 20.11, 21.11 running just in vector mode (default mode) for Mellanox CX-5 and CX-6 does not produce the problem mentioned above.
[EDIT-1] retested with rxqs_min_mprq=1 for 2 * 100Gbps for 64B, For 16 RXTX on 16T16C resulted in degradation 9~10Mpps. For all RX queue from 1 to 7 RX there is degration of 6Mpps with rxqs_min_mprq=1.
Following is the capture for RXTX to core scaling
investigating into MPRQ claim, the following are some the unique observations
For both MLX CX-5 and CX-6, the max that each RX queue can attain is around 36 to 38 MPPs
Single core can achieve up to 90Mpps (64B) with 3 RXTX in IO using AMD EPYC MILAN on both CX-5 and CX-6.
For 100Gbps on 64B can be achieved with 14 Logical cores (7 Physical cores) with testpmd in IO mode.
for both CX-5 and CX-6 2 * 100Gbps for 64B requires MPRQ and compression technique to allow more packets in and out of system.
There are multitude of configuration tuning required to achieve high number. Please refer stackoverflow question and DPDK MLX tuning parameters for more information.
PCIe gen4 BW is not the limiting factor, but the NIC ASIC with internal embedded siwtch results in above mentioned behaviour. hence to overcome these limitation one needs to use PMD arguments to activate the Hardware, which further increases the overhead on CPU in PMD processing. Thus there is barrier (needs more cpu) to process the compressed and multiple packets inlined to convert to DPDK single MBUF. This is reason why more therads are required when using PMD arguments.
note:
Test application: testpmd
EAL Args: --in-memory --no-telemetry --no-shconf --single-file-segments --file-prefix=2 -l 7,8-31
PMD args vector: none
PMD args for 2 * 100Gbps line rate: txq_inline_mpw=204,txqs_min_inline=1,mprq_en=1,rxqs_min_mprq=1,mprq_log_stride_num=12,rxq_pkt_pad_en=1,rxq_cqe_comp_en=4

Bad Disk performance after moving from Ubuntu to Centos 7

Relatively old Dell R620 server (32 cores / 128GB RAM) was working perfect for years with Ubuntu. Plain OS install, no Virtualization.
2 system disks in mirror (XFS)
6 RAID 5 disks for /var (XFS)
server is used for a nightly check of a MySQL Xtrabackup file.
Before the format and move to Centos 7 the process would finish by 08:00, Now running late at noon.
99% of the job is opening a large tar.gz file.
htop : there are only two processes doing something :
1. gzip -d : about 20% CPU
2. tar zxf Xtrabackup.tar.gz : about 4-7% CPU
iotop : it's steady at around 3M/s (Read) / 20-25 M/s (Write) which is about 25% of what i would expect at minimum.
Memory : Used : 1GB of 128GB
Server is fully updated both OS / HW / Firmware including the disks firmware.
IDRAC shows no problems.
Bottom line : Server is not working hard (to say the least) but performance is way off.
Any ideas would be appreciated.
vmstat
procs -----------memory---------- ---swap-- -----io---- -system-- ------cpu-----
r b swpd free buff cache si so bi bo in cs us sy id wa st
2 2 0 469072 0 130362040 0 0 57 341 0 0 0 0 98 2 0
0 2 0 456916 0 130374568 0 0 3328 24576 1176 3241 2 1 94 4 0
You have blocked processes and also io operations (around 20MB/s). And this mean for me you have few processes which concurrently access disc resources. What you can do to improve the performance is instead of
tar zxf Xtrabackup.tar.gz
use
gzip -d Xtrabackup.tar.gz|tar xvf -
The second add parallelism and can benefit from multy processor, You can also benefit from increase of the pipe (fifo) buffer. Check this answer for some ideas
Also consider to tune filesystem where are stored output files of tar

Can Linux perf compare per - thread performance?

I know perf can profile single progress or single thread use perf stat -p tid/pid or perf top -p tid/pid.
But I want to profile per-thread in a progress, and compare event, get which thread is high consumption, then to optimize it. Can perf do this ? if not, which tools can do that ?
thanks.
There was proposed patch to add --per-thread option to perf stat (and with interval mode -I 1000 it is possible to see current counters every second for every thread ): https://lwn.net/Articles/649001/ "perf stat: Introduce --per-thread option" From: Jiri Olsa, Date: Tue, 23 Jun 2015
adding the possibility to display stat data per thread.
Allowing following commands and output:
$ perf stat -e cycles,instructions --per-thread -p 30190,30242 ^C
Performance counter stats for process id '30190,30242':
cat-30190 0 cycles
yes-30242 3,842,525,421 cycles
cat-30190 0 instructions
yes-30242 10,370,817,010 instructions
1.143155657 seconds time elapsed
Also works under interval mode:
$ perf stat -e cycles,instructions --per-thread -p 30190,30242 -I
1000
# time comm-pid counts unit events
1.000073435 cat-30190 89,058 cycles
1.000073435 yes-30242 3,360,786,902 cycles (100.00%)
1.000073435 cat-30190 14,066 instructions
1.000073435 yes-30242 9,069,937,462 instructions
2.000204830 cat-30190 0 cycles
2.000204830 yes-30242 3,351,667,626 cycles
2.000204830 cat-30190 0 instructions
2.000204830 yes-30242 9,045,796,885 instructions
^C
2.771286639 cat-30190 0 cycles
2.771286639 yes-30242 2,593,884,166 cycles
2.771286639 cat-30190 0 instructions
2.771286639 yes-30242 7,001,171,191 instructions
Available in here:
git://git.kernel.org/pub/scm/linux/kernel/git/jolsa/perf.git
perf/per_thread
Yes. Of course.
You could use perf_event_open() system call to open performance counters.
and then use proctl/ioctl to read counters.
You could check linux man pages for all the details.
Do you see this question?
How to profile multi-threaded C++ application on Linux?
I think you could start with valgrind:
http://valgrind.org/docs/manual/cl-manual.html

With MSI-X device can IRQ affinity be set (Linux)?

I've set IRQ affinity in the past on Linux by setting values to the proc files. [1]
However, I noticed that when I do this on an system that uses MSI-X for the device
(PCIe) that I want to set affinity for e.g. NIC, the /proc/interrupt counters increment
for each core for the IRQ and not for the single core I set it for. Where in a non-
MSI-X system the specified core answers the interrupts.
I'm using Linux kernel 3.11.
Short: Can IRQ affinity be set for devices that use MSI-X interrupts?
[1] https://www.kernel.org/doc/Documentation/IRQ-affinity.txt
Unburrying this thread, I am trying to set IRQ (MSI-X) cpu affinity for my SATA controller in order to avoid cpu switching delays.
So far, I got the current used IRQ via:
IRQ=$(cat /proc/interrupts | grep ahci | awk -F':' '/ /{gsub(/ /, "", $1); print $1}')
Just looking at the interrupts via cat /proc/interrupts shows that multiple CPUs are involved in my sata controller handling.
I then set the IRQ affinity (cpu 2 in my case) via
echo 02 > /proc/irq/$IRQ/smp_affinity
I can test the effective affinity with
cat /proc/irq/$IRQ/effective_affinity
After a while of disk benchmarking, I noticed that the affinity stays as configured.
Example:
Before benchmark, having bound IRQ 134 to cpu 2:
cat /proc/interrupts | egrep "ahci|CPU"
CPU0 CPU1 CPU2 CPU3 CPU4 CPU5 CPU6 CPU7
134: 12421581 1 0 17 4166 0 0 0 IR-PCI-MSI 376832-edge ahci[0000:00:17.0]
After benchmark:
cat /proc/interrupts | egrep "ahci|CPU"
CPU0 CPU1 CPU2 CPU3 CPU4 CPU5 CPU6 CPU7
134: 12421581 2724836 0 17 4166 0 0 0 IR-PCI-MSI 376832-edge ahci[0000:00:17.0]
So in my case, the affinity that I've setup stayed as it should.
I can only imagine that you have irqbalance running as a service.
Have you checked that ?
In my case, running irqbalance redistributes the affinity and overrides the one I setup.
My test system: CentOS 8.2 4.18.0-193.6.3.el8_2.x86_64 #1 SMP Wed Jun 10 11:09:32 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux
In the end, I did not achieve better disk utilization / performance. My initial problem is that fio benchmarks do not use 100% disk, mere some values between 75-85% (and sometimes 97%, without me knowing why).

How to obtain the virtual private memory of a process from the command line under OSX?

I would like to obtain the virtual private memory consumed by a process under OSX from the command line. This is the value that Activity Monitor reports in the "Virtual Mem" column. ps -o vsz reports the total address space available to the process and is therefore not useful.
You can obtain the virtual private memory use of a single process by running
top -l 1 -s 0 -i 1 -stats vprvt -pid PID
where PID is the process ID of the process you are interested in. This results in about a dozen lines of output ending with
VPRVT
55M+
So by parsing the last line of output, one can at least obtain the memory footprint in MB. I tested this on OSX 10.6.8.
update
I realized (after I got downvoted) that #user1389686 gave an answer in the comment section of the OP that was better than my paltry first attempt. What follows is based on user1389686's own answer. I cannot take credit for it -- I've just cleaned it up a bit.
original, edited with -stats vprvt
As Mahmoud Al-Qudsi mentioned, top does what you want. If PID 8631 is the process you want to examine:
$ top -l 1 -s 0 -stats vprvt -pid 8631
Processes: 84 total, 2 running, 82 sleeping, 378 threads
2012/07/14 02:42:05
Load Avg: 0.34, 0.15, 0.04
CPU usage: 15.38% user, 30.76% sys, 53.84% idle
SharedLibs: 4668K resident, 4220K data, 0B linkedit.
MemRegions: 15160 total, 961M resident, 25M private, 520M shared.
PhysMem: 917M wired, 1207M active, 276M inactive, 2400M used, 5790M free.
VM: 171G vsize, 1039M framework vsize, 1523860(0) pageins, 811163(0) pageouts.
Networks: packets: 431147/140M in, 261381/59M out.
Disks: 487900/8547M read, 2784975/40G written.
VPRVT
8631
Here's how I get at this value using a bit of Ruby code:
# Return the virtual memory size of the current process
def virtual_private_memory
s = `top -l 1 -s 0 -stats vprvt -pid #{Process.pid}`.split($/).last
return nil unless s =~ /\A(\d*)([KMG])/
$1.to_i * case $2
when "K"
1000
when "M"
1000000
when "G"
1000000000
else
raise ArgumentError.new("unrecognized multiplier in #{f}")
end
end
Updated answer, thats work under Yosemite, from user1389686:
top -l 1 -s 0 -stats mem -pid PID

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