GNU make: should the number of jobs equal the number of CPU cores in a system?
MakefileGnu MakeMakefile Problem Overview
There seems to be some controversy on whether the number of jobs in GNU make is supposed to be equal to the number of cores, or if you can optimize the build time by adding one extra job that can be queued up while the others "work".
Is it better to use -j4
or -j5
on a quad core system?
Have you seen (or done) any benchmarking that supports one or the other?
Makefile Solutions
Solution 1 - Makefile
I would say the best thing to do is benchmark it yourself on your particular environment and workload. Seems like there are too many variables (size/number of source files, available memory, disk caching, whether your source directory & system headers are located on different disks, etc.) for a one-size-fits-all answer.
My personal experience (on a 2-core MacBook Pro) is that -j2 is significantly faster than -j1, but beyond that (-j3, -j4 etc.) there's no measurable speedup. So for my environment "jobs == number of cores" seems to be a good answer. (YMMV)
Solution 2 - Makefile
I've run my home project on my 4-core with hyperthreading laptop and recorded the results. This is a fairly compiler-heavy project but it includes a unit test of 17.7 seconds at the end. The compiles are not very IO intensive; there is very much memory available and if not the rest is on a fast SSD.
1 job real 2m27.929s user 2m11.352s sys 0m11.964s
2 jobs real 1m22.901s user 2m13.800s sys 0m9.532s
3 jobs real 1m6.434s user 2m29.024s sys 0m10.532s
4 jobs real 0m59.847s user 2m50.336s sys 0m12.656s
5 jobs real 0m58.657s user 3m24.384s sys 0m14.112s
6 jobs real 0m57.100s user 3m51.776s sys 0m16.128s
7 jobs real 0m56.304s user 4m15.500s sys 0m16.992s
8 jobs real 0m53.513s user 4m38.456s sys 0m17.724s
9 jobs real 0m53.371s user 4m37.344s sys 0m17.676s
10 jobs real 0m53.350s user 4m37.384s sys 0m17.752s
11 jobs real 0m53.834s user 4m43.644s sys 0m18.568s
12 jobs real 0m52.187s user 4m32.400s sys 0m17.476s
13 jobs real 0m53.834s user 4m40.900s sys 0m17.660s
14 jobs real 0m53.901s user 4m37.076s sys 0m17.408s
15 jobs real 0m55.975s user 4m43.588s sys 0m18.504s
16 jobs real 0m53.764s user 4m40.856s sys 0m18.244s
inf jobs real 0m51.812s user 4m21.200s sys 0m16.812s
Basic results:
- Scaling to the core count increases the performance nearly linearly. The real time went down from 2.5 minutes to 1.0 minute (2.5x as fast), but the time taken during compile went up from 2.11 to 2.50 minutes. The system noticed barely any additional load in this bit.
- Scaling from the core count to the thread count increased the user load immensely, from 2.50 minutes to 4.38 minutes. This near doubling is most likely because the other compiler instances wanted to use the same CPU resources at the same time. The system is getting a bit more loaded with requests and task switching, causing it to go to 17.7 seconds of time used. The advantage is about 6.5 seconds on a compile time of 53.5 seconds, making for a 12% speedup.
- Scaling from thread count to double thread count gave no significant speedup. The times at 12 and 15 are most likely statistical anomalies that you can disregard. The total time taken increases ever so slightly, as does the system time. Both are most likely due to increased task switching. There is no benefit to this.
My guess right now: If you do something else on your computer, use the core count. If you do not, use the thread count. Exceeding it shows no benefit. At some point they will become memory limited and collapse due to that, making the compiling much slower. The "inf" line was added at a much later date, giving me the suspicion that there was some thermal throttling for the 8+ jobs. This does show that for this project size there's no memory or throughput limit in effect. It's a small project though, given 8GB of memory to compile in.
Solution 3 - Makefile
I, personally, use make -j n
where n is "number of cores" + 1.
I can't, however, give a scientific explanation: I've seen a lot of people using the same settings and they gave me pretty good results so far.
Anyway, you have to be careful because some make-chains simply aren't compatible with the --jobs
option, and can lead to unexpected results. If you're experiencing strange dependency errors, just try to make
without --jobs
.
Solution 4 - Makefile
Both are not wrong. To be at peace with yourself and with author of software you're compiling (different multi-thread/single-thread restrictions apply at software level itself), I suggest you use:
make -j`nproc`
Notes: nproc
is linux command that will return number of cores/threads(modern CPU) available on system. Placing it under ticks ` like above will pass the number to the make command.
Additional info: As someone mentioned, using all cores/threads to compile software can literally choke your box to near death (being unresponsive) and might even take longer than using less cores. As I seen one Slackware user here posted he had dual core CPU but still provided testing up to j 8, which stopped being different at j 2 (only 2 hardware cores that CPU can utilize). So, to avoid unresponsive box i suggest you run it like this:
make -j`nproc --ignore=2`
This will pass the output of nproc
to make
and subtract 2 cores from its result.
Solution 5 - Makefile
Ultimately, you'll have to do some benchmarks to determine the best number to use for your build, but remember that the CPU isn't the only resource that matters!
If you've got a build that relies heavily on the disk, for example, then spawning lots of jobs on a multicore system might actually be slower, as the disk will have to do extra work moving the disk head back and forth to serve all the different jobs (depending on lots of factors, like how well the OS handles the disk-cache, native command queuing support by the disk, etc.).
And then you've got "real" cores versus hyper-threading. You may or may not benefit from spawning jobs for each hyper-thread. Again, you'll have to benchmark to find out.
I can't say I've specifically tried #cores + 1, but on our systems (Intel i7 940, 4 hyperthreaded cores, lots of RAM, and VelociRaptor drives) and our build (large-scale C++ build that's alternately CPU and I/O bound) there is very little difference between -j4 and -j8. (It's maybe 15% better... but nowhere near twice as good.)
If I'm going away for lunch, I'll use -j8, but if I want to use my system for anything else while it's building, I'll use a lower number. :)
Solution 6 - Makefile
I just got an Athlon II X2 Regor proc with a Foxconn M/B and 4GB of G-Skill memory.
I put my 'cat /proc/cpuinfo' and 'free' at the end of this so others can see my specs. It's a dual core Athlon II x2 with 4GB of RAM.
uname -a on default slackware 14.0 kernel is 3.2.45.
I downloaded the next step kernel source (linux-3.2.46) to /archive4;
extracted it (tar -xjvf linux-3.2.46.tar.bz2
);
cd'd into the directory (cd linux-3.2.46
);
and copied the default kernel's config over (cp /usr/src/linux/.config .
);
used make oldconfig
to prepare the 3.2.46 kernel config;
then ran make with various incantations of -jX.
I tested the timings of each run by issuing make after the time command, e.g., 'time make -j2'. Between each run I 'rm -rf' the linux-3.2.46 tree and reextracted it, copied the default /usr/src/linux/.config into the directory, ran make oldconfig and then did my 'make -jX' test again.
plain "make":
real 51m47.510s
user 47m52.228s
sys 3m44.985s
bob@Moses:/archive4/linux-3.2.46$
as above but with make -j2
real 27m3.194s
user 48m5.135s
sys 3m39.431s
bob@Moses:/archive4/linux-3.2.46$
as above but with make -j3
real 27m30.203s
user 48m43.821s
sys 3m42.309s
bob@Moses:/archive4/linux-3.2.46$
as above but with make -j4
real 27m32.023s
user 49m18.328s
sys 3m43.765s
bob@Moses:/archive4/linux-3.2.46$
as above but with make -j8
real 28m28.112s
user 50m34.445s
sys 3m49.877s
bob@Moses:/archive4/linux-3.2.46$
'cat /proc/cpuinfo' yields:
bob@Moses:/archive4$ cat /proc/cpuinfo
processor : 0
vendor_id : AuthenticAMD
cpu family : 16
model : 6
model name : AMD Athlon(tm) II X2 270 Processor
stepping : 3
microcode : 0x10000c8
cpu MHz : 3399.957
cache size : 1024 KB
physical id : 0
siblings : 2
core id : 0
cpu cores : 2
apicid : 0
initial apicid : 0
fdiv_bug : no
hlt_bug : no
f00f_bug : no
coma_bug : no
fpu : yes
fpu_exception : yes
cpuid level : 5
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmo
v pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rd
tscp lm 3dnowext 3dnow constant_tsc nonstop_tsc extd_apicid pni monitor cx16 p
opcnt lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowpre
fetch osvw ibs skinit wdt npt lbrv svm_lock nrip_save
bogomips : 6799.91
clflush size : 64
cache_alignment : 64
address sizes : 48 bits physical, 48 bits virtual
power management: ts ttp tm stc 100mhzsteps hwpstate
processor : 1
vendor_id : AuthenticAMD
cpu family : 16
model : 6
model name : AMD Athlon(tm) II X2 270 Processor
stepping : 3
microcode : 0x10000c8
cpu MHz : 3399.957
cache size : 1024 KB
physical id : 0
siblings : 2
core id : 1
cpu cores : 2
apicid : 1
initial apicid : 1
fdiv_bug : no
hlt_bug : no
f00f_bug : no
coma_bug : no
fpu : yes
fpu_exception : yes
cpuid level : 5
wp : yes
flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmo
v pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rd
tscp lm 3dnowext 3dnow constant_tsc nonstop_tsc extd_apicid pni monitor cx16 p
opcnt lahf_lm cmp_legacy svm extapic cr8_legacy abm sse4a misalignsse 3dnowpre
fetch osvw ibs skinit wdt npt lbrv svm_lock nrip_save
bogomips : 6799.94
clflush size : 64
cache_alignment : 64
address sizes : 48 bits physical, 48 bits virtual
power management: ts ttp tm stc 100mhzsteps hwpstate
'free' yields:
bob@Moses:/archive4$ free
total used free shared buffers cached
Mem: 3991304 3834564 156740 0 519220 2515308
Solution 7 - Makefile
Just as a ref:
From Spawning Multiple Build Jobs
section in LKD:
>where n is the number of jobs to spawn. Usual practice is to spawn one or two jobs per processor. For example, on a dual processor machine, one might do > >$ make j4
Solution 8 - Makefile
From my experience, there must be some performance benefits when adding extra jobs. It is simply because disk I/O is one of the bottle necks besides CPU. However it is not easy to decide on the number of extra jobs as it is highly inter-connected with the number of cores and types of the disk being used.
Solution 9 - Makefile
Many years later, the majority of these answers are still correct. However, there has been a bit of a change: Using more jobs than you have physical cores now gives a genuinely significant speedup. As an addendum to Dascandy's table, here's my times for compiling a project on a AMD Ryzen 5 3600X on linux. (The Powder Toy, commit c6f653ac3cef03acfbc44e8f29f11e1b301f1ca2)
I recommend checking yourself, but I've found with input from others that using your logical core count for job count works well on Zen. Alongside that, the system does not seem to lose responsiveness. I imagine this applies to recent Intel CPUs as well. Do note I have an SSD, as well, so it may be worth it to test your CPU yourself.
scons -j1 --release --native 120.68s user 9.78s system 99% cpu 2:10.60 total
scons -j2 --release --native 122.96s user 9.59s system 197% cpu 1:07.15 total
scons -j3 --release --native 125.62s user 9.75s system 292% cpu 46.291 total
scons -j4 --release --native 128.26s user 10.41s system 385% cpu 35.971 total
scons -j5 --release --native 133.73s user 10.33s system 476% cpu 30.241 total
scons -j6 --release --native 144.10s user 11.24s system 564% cpu 27.510 total
scons -j7 --release --native 153.64s user 11.61s system 653% cpu 25.297 total
scons -j8 --release --native 161.91s user 12.04s system 742% cpu 23.440 total
scons -j9 --release --native 169.09s user 12.38s system 827% cpu 21.923 total
scons -j10 --release --native 176.63s user 12.70s system 910% cpu 20.788 total
scons -j11 --release --native 184.57s user 13.18s system 989% cpu 19.976 total
scons -j12 --release --native 192.13s user 14.33s system 1055% cpu 19.553 total
scons -j13 --release --native 193.27s user 14.01s system 1052% cpu 19.698 total
scons -j14 --release --native 193.62s user 13.85s system 1076% cpu 19.270 total
scons -j15 --release --native 195.20s user 13.53s system 1056% cpu 19.755 total
scons -j16 --release --native 195.11s user 13.81s system 1060% cpu 19.692 total
( -jinf test not included, as it is not supported by scons.)
Tests done on Ubuntu 19.10 w/ a Ryzen 5 3600X, Samsung 860 Evo SSD (SATA), and 32GB RAM
Final note: Other people with a 3600X may get better times than me. When doing this test, I had Eco mode enabled, reducing the CPU's speed a little.
Solution 10 - Makefile
YES! On my 3950x, I run -j32 and it saves hours of compile time! I can still watch youtube, browse the web, etc. during compile without any difference. The processor isn't always pegged even with a 1TB 970 PRO nvme or 1TB Auros Gen4 nvme and 64GB of 3200C14. Even when it is, I don't notice UI wise. I plan on testing with -j48 in the near future on some big upcoming projects. I expect, as you probably do, to see some impressive improvement. Those still with a quad-core might not get the same gains....
Linus himself just upgraded to a 3970x and you can bet your bottom dollar, he is at least running -j64.