Recommended stress time

[Sergey Matveev]

Greetings,

If I run stressapptest without any parameters, when it will finish
after 20 seconds.

But if I want to test some modern server, to make it very hot, to hang
him if it has defective main components, such as processor, memory or
buses - 20 seconds is not enough to make him warm.

Of course 12 or more hours will be pretty enough I think, but it is
expensive :-).

Can you recommend some time ranges enough to really make hot server,
for example server with 2 Opteron processors with 16 GB of RAM, or
with 4 Opteron processors with 64 GB of RAM.

Thanks in advance!

--
Happy hacking, Sergey Matveev
FSF Associate member #5968 | FSFE Fellow #1390

[Nick Sanders]

I've noticed that machines tend to reach maximum temperature within 5-10 minutes,
so it's probably important to run longer than that, maybe 20 minutes total.. Beyond that,
it's a pretty straightforward tradeoff between spending more time to discover more errors.

For maximum stress, you can change the number of memory access threads with "-m X",
and run cpu stress threads with "-C X", depending on your compute to memory bandwidth
ratio, the exact count of cpu to memory threads may be different. "-W" may help your
machine become hotter, although it's of effective across all cpus.

You can try increasing the number of cpu threads / decreasing the number of memory
threads until the memory bandwidth used drops off, or trying different configurations
until you reach a maximum temperature.You can also modify os.h to use
AdlerMemcpyAsm instead of AdlerMemcpyWarmC, and use the "-W" flag, if you have sse2.

Thanks,
  -Nick

[Yvan Tian]

How to know "the memory bandwidth used drops off"?

[Nick Sanders]

If you allow the system to reach ambient temperature, then run stressapptest for varying lengths of time, you'll see that longer runs report less aggregate bandwidth. 

You can also look in your system log or sysfs to check for thermal throttle or dvfs notifications.

On Tue, Nov 6, 2018 at 11:48 PM Yvan Tian <tian...@gmail.com> wrote:

How to know "the memory bandwidth used drops off"?

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[Yvan Tian]

Thanks.

Here is a contrast of 900s v.s. 1800s on my system.  Please help to comment.

#1   900s

[root@localhost stressapptest_v18]# stressapptest -M 10636.94843 -m 48 -i 48 -c 48 -W --read-block-size 1024000 --write-block-size 1024000 --read-threshold 100000 --write-threshold 100000 --segment-size 10240000000 --blocks-per-segment 32 -s 900 -d /dev/sdb1  -l runlog

2018/11/09-23:55:46(CST) Log: Commandline - stressapptest -M 10636.94843 -m 48 -i 48 -c 48 -W --read-block-size 1024000 --write-block-size 1024000 --read-threshold 100000 --write-threshold 100000 --segment-size 10240000000 --blocks-per-segment 32 -s 900 -d /dev/sdb1 -l runlog

2018/11/09-23:55:46(CST) Stats: SAT revision 1.0.9_autoconf, 64 bit binary

2018/11/09-23:55:46(CST) Log: root @ localhost.localdomain on Fri Nov  9 18:45:35 CST 2018 from open source release

2018/11/09-23:55:46(CST) Log: 1 nodes, 24 cpus.

2018/11/09-23:55:46(CST) Log: Prefer plain malloc memory allocation.

2018/11/09-23:55:46(CST) Log: Using mmap() allocation at 0x7f70e0602000.

2018/11/09-23:55:46(CST) Stats: Starting SAT, 10636M, 900 seconds

2018/11/09-23:55:48(CST) Log: region number 17 exceeds region count 1

2018/11/09-23:55:48(CST) Log: Region mask: 0x1

2018/11/09-23:55:59(CST) Log: Seconds remaining: 890

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2018/11/10-00:00:59(CST) Log: Seconds remaining: 590

2018/11/10-00:01:04(CST) Log: Read took 135524 us which is longer than threshold 100000 us on disk /dev/sdb1 (thread 145).

2018/11/10-00:01:04(CST) Log: Read took 169463 us which is longer than threshold 100000 us on disk /dev/sdb1 (thread 145).

2018/11/10-00:01:05(CST) Log: Read took 473145 us which is longer than threshold 100000 us on disk /dev/sdb1 (thread 145).

2018/11/10-00:01:05(CST) Log: Read took 144052 us which is longer than threshold 100000 us on disk /dev/sdb1 (thread 145).

2018/11/10-00:01:06(CST) Log: Read took 145652 us which is longer than threshold 100000 us on disk /dev/sdb1 (thread 145).

2018/11/10-00:01:07(CST) Log: Read took 118733 us which is longer than threshold 100000 us on disk /dev/sdb1 (thread 145).

2018/11/10-00:01:09(CST) Log: Seconds remaining: 580

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2018/11/10-00:05:02(CST) Log: Read took 315416 us which is longer than threshold 100000 us on disk /dev/sdb1 (thread 145).

2018/11/10-00:05:09(CST) Log: Seconds remaining: 340

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2018/11/10-00:05:49(CST) Log: Pausing worker threads in preparation for power spike (300 seconds remaining)

2018/11/10-00:05:59(CST) Log: Seconds remaining: 290

2018/11/10-00:06:04(CST) Log: Resuming worker threads to cause a power spike (285 seconds remaining)

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2018/11/10-00:10:39(CST) Log: Seconds remaining: 10

2018/11/10-00:10:50(CST) Stats: Found 0 hardware incidents

2018/11/10-00:10:50(CST) Stats: Completed: 13841693.00M in 901.17s 15359.63MB/s, with 0 hardware incidents, 0 errors

2018/11/10-00:10:50(CST) Stats: Memory Copy: 5298400.00M at 5883.14MB/s

2018/11/10-00:10:50(CST) Stats: File Copy: 0.00M at 0.00MB/s

2018/11/10-00:10:50(CST) Stats: Net Copy: 0.00M at 0.00MB/s

2018/11/10-00:10:50(CST) Stats: Data Check: 3260596.00M at 3619.53MB/s

2018/11/10-00:10:50(CST) Stats: Invert Data: 5228520.00M at 5807.38MB/s

2018/11/10-00:10:50(CST) Stats: Disk: 54177.00M at 60.18MB/s

2018/11/10-00:10:50(CST) 

2018/11/10-00:10:50(CST) Status: PASS - please verify no corrected errors

2018/11/10-00:10:50(CST) 

#2 1800s

[root@localhost stressapptest_v18]# stressapptest -M 10636.94843 -m 48 -i 48 -c 48 -W --read-block-size 1024000 --write-block-size 1024000 --read-threshold 100000 --write-threshold 100000 --segment-size 10240000000 --blocks-per-segment 32 -s 1800 -d /dev/sdb1  -l runlog

2018/11/10-01:08:30(CST) Log: Commandline - stressapptest -M 10636.94843 -m 48 -i 48 -c 48 -W --read-block-size 1024000 --write-block-size 1024000 --read-threshold 100000 --write-threshold 100000 --segment-size 10240000000 --blocks-per-segment 32 -s 1800 -d /dev/sdb1 -l runlog

2018/11/10-01:08:30(CST) Stats: SAT revision 1.0.9_autoconf, 64 bit binary

2018/11/10-01:08:30(CST) Log: root @ localhost.localdomain on Fri Nov  9 18:45:35 CST 2018 from open source release

2018/11/10-01:08:30(CST) Log: 1 nodes, 24 cpus.

2018/11/10-01:08:30(CST) Log: Prefer plain malloc memory allocation.

2018/11/10-01:08:30(CST) Log: Using mmap() allocation at 0x7f2bfd791000.

2018/11/10-01:08:30(CST) Stats: Starting SAT, 10636M, 1800 seconds

2018/11/10-01:08:32(CST) Log: region number 32 exceeds region count 1

2018/11/10-01:08:33(CST) Log: Region mask: 0x1

2018/11/10-01:08:43(CST) Log: Seconds remaining: 1790

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2018/11/10-01:18:04(CST) Log: Read took 132598 us which is longer than threshold 100000 us on disk /dev/sdb1 (thread 145).

2018/11/10-01:18:04(CST) Log: Read took 135571 us which is longer than threshold 100000 us on disk /dev/sdb1 (thread 145).

2018/11/10-01:18:04(CST) Log: Read took 138136 us which is longer than threshold 100000 us on disk /dev/sdb1 (thread 145).

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2018/11/10-01:38:33(CST) Stats: Found 0 hardware incidents

2018/11/10-01:38:33(CST) Stats: Completed: 27711902.00M in 1800.06s 15395.02MB/s, with 0 hardware incidents, 0 errors

2018/11/10-01:38:33(CST) Stats: Memory Copy: 10569206.00M at 5872.68MB/s

2018/11/10-01:38:33(CST) Stats: File Copy: 0.00M at 0.00MB/s

2018/11/10-01:38:33(CST) Stats: Net Copy: 0.00M at 0.00MB/s

2018/11/10-01:38:33(CST) Stats: Data Check: 6533640.00M at 3629.85MB/s

2018/11/10-01:38:33(CST) Stats: Invert Data: 10500560.00M at 5835.30MB/s

2018/11/10-01:38:33(CST) Stats: Disk: 108494.00M at 60.29MB/s

2018/11/10-01:38:33(CST) 

2018/11/10-01:38:33(CST) Status: PASS - please verify no corrected errors

2018/11/10-01:38:33(CST) 

[Yvan Tian]

I made some other tests as contrast with each other:

[Nick Sanders]

I'd recommend not using -i, -c, or -d, and using the default number of '-m' threads. The config you are running doesn't seem likely to be particularly thermally stressful.

On Sat, Nov 10, 2018, 12:16 AM Yvan Tian <tian...@gmail.com wrote:

I made some other tests as contrast with each other:

[Nick Sanders]

As you can see from your chart, "speed" is not affected by runtime, so you are not getting any longer term thermal throttling. You can try running for ~30 sec and you might be able to notice turbo effects.

[Yvan Tian]

Definitely.  I want to validate the reliability of memory, hard disks configured on  server systems, not only checking if there is any thermal issue, but the bandwidth of memory and Disk I/O.

This test is used as a part of aging test tool suites in our factory. And I find all of our products configured with different number of memory, CPUs and disks are tests with a  similar option, which makes me very confused. For example, a system configured with 1 DIMM memory and 16 DIMMs memory will be testing with the same option "-m 48" if the system populated with 1xE5-2650 v4(24-core, 2 threads per core).  In my understanding, the system as described with 16 DIMMs of memory should be allocated with more reading threads as the bandwidth is much greater than configured with 1DIMM, or there must be more suspended threads  as a result of bandwidth competition.

To unsubscribe from this group and stop receiving emails from it, send an email to stressapptest-discuss+unsub...@googlegroups.com.

[Nick Sanders]

stressapptest autodetects reasonable values for memory allocation and thread count.

If those don't work, here's some example code of different ways to calculate and override:

https://chromium.googlesource.com/chromiumos/third_party/autotest/+/HEAD/client/site_tests/hardware_SAT/hardware_SAT.py

On Sun, Nov 11, 2018 at 6:32 PM Yvan Tian <tian...@gmail.com> wrote:

In my understanding, the system as described with 16 DIMMs of memory should be allocated with more reading threads as the bandwidth is much greater than configured with 1DIMM, or there must be more suspended threads  as a result of bandwidth competition.

This is not correct. Memory bandwidth limitations will cause the CPU to stall but don't have any effect on threading. Nor will a greater number of threads than the number of cored be able to access more bandwidth, since the maximum number of threads running is equal to the number of cores. Any greater number of threads simply increases time spent context switching at the expense of time spent actually running the threads. 

[Yvan Tian]

It seems the threads of memory copy is set equal to the total number of cores, and this number will not be changed with different number of DIMMs  or different size of capacity.    The sample script you post for me looks good and I'll try to add some functions in our program to decide how many threads should be generated according to memory size.

在 2018年11月13日星期二 UTC+8上午1:11:13，Nick写道：