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gcc-15.1.0 installation error

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chikunjiho920@gmail.com:
@Rich
Yes, killed by kernels Out Of Memory killer.
Here is the mseg:


--- Code: ---tc@box:~/gcc-15.1.0/build$ dmesg | grep -i kill
[32614.157379] cc1plus invoked oom-killer: gfp_mask=0x140dca(GFP_HIGHUSER_MOVABLE|__GFP_COMP|__GFP_ZERO), order=0, oom_score_adj=0
[32614.157902] oom-kill:constraint=CONSTRAINT_NONE,nodemask=(null),cpuset=/,mems_allowed=0,task=Isolated Web Co,pid=27981,uid=1001
[32614.158169] Out of memory: Killed process 27981 (Isolated Web Co) total-vm:2623812kB, anon-rss:94200kB, file-rss:116kB, shmem-rss:5876kB, UID:1001 pgtables:1268kB oom_score_adj:167
[32915.236284] genautomata invoked oom-killer: gfp_mask=0x140dca(GFP_HIGHUSER_MOVABLE|__GFP_COMP|__GFP_ZERO), order=0, oom_score_adj=0
[32915.236847] oom-kill:constraint=CONSTRAINT_NONE,nodemask=(null),cpuset=/,mems_allowed=0,task=Privileged Cont,pid=27850,uid=1001
[32915.237222] Out of memory: Killed process 27850 (Privileged Cont) total-vm:2514636kB, anon-rss:44992kB, file-rss:0kB, shmem-rss:7600kB, UID:1001 pgtables:924kB oom_score_adj:167
[32918.136766] genautomata invoked oom-killer: gfp_mask=0x140dca(GFP_HIGHUSER_MOVABLE|__GFP_COMP|__GFP_ZERO), order=0, oom_score_adj=0
[32918.137165] oom-kill:constraint=CONSTRAINT_NONE,nodemask=(null),cpuset=/,mems_allowed=0,task=genautomata,pid=9113,uid=1001
[32918.137177] Out of memory: Killed process 9113 (genautomata) total-vm:1479416kB, anon-rss:1476092kB, file-rss:0kB, shmem-rss:1900kB, UID:1001 pgtables:2936kB oom_score_adj:0
--- End code ---


Thank you.

Rich:
Hi chikunjiho920@gmail.com
I can think of a couple of possibilities:
1. Try allocating more RAM to your VM.

2. You no doubt assigned a virtual disk of some sort to your VM.
   If it's RAM based, try switching to a disk backed device.

3. It looks like you are building this in your /home/ directory.
   Is your /home/ directory persistent or RAM based?
   If it's RAM based, try switching to a persistent /home/ directory

patrikg:
And don't forget the Swap settings :)
If you have a swap ?

Like @Rich says just add more ram to the VM, or like how internet saying "just download more memory" :)

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