20%
01.06.2024
msstore
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list
ls
winget listwinget list - n 12winget list --upgrade-availablewinget list
20%
28.11.2022
sensors available on an older MacBook Pro. Not all values discovered are temperatures.
On Linux, my default choice for in-terminal monitoring TUI is glances [6], which I have examined previously
20%
03.02.2022
,32
1,33
2,34
3,35
4,36
5,37
6,38
7,39
8,40
9,41
10,42
11,43
12,44
13,45
14,46
15,47
16,48
17,49
18,50
19,51
20,52
21,53
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23,55
24,56
25,57
26,58
27,59
28,60
29,61
30,62
31,63
The lstopo tool
20%
29.06.2012
Item(bottom_func,(),false,(thunk(AST(lambda({},{{#1, #2}, {{#1, Any, 2}, {#2, Any, 2}}, {}},
begin
#1 = top(Array)(top(Any),2)
top(arrayset)(#1,1,"n0")
top(arrayset)(#1,2,"n2")
#2 = #1
return addprocs_ssh(#2)
end
))),1),(),(),intset(1
20%
17.06.2017
! Y equals 38
12
13 ! Dynamic memory blocks
14 N = 1000
15 ALLOCATE( PTR2, PTRA(N) )
16 ! Do some computing
17 DEALLOCATE(PTR2, PTRA)
18
19 END PROGRAM PTR_TEST1
Listing 7
20%
07.02.2019
data copy(a)
!$acc parallel loop
do i=1,n
a(i) = 0.0
enddo
!$acc data end
#pragma acc data copy(a)
{
#pragma acc parallel loop
{
for (int i=0; i < n; i++)
{
a[i] = 0
20%
02.06.2020
, uncompressed, it sits at only 6MB, which is still a far cry from 328MB that the Cargo route would have introduced to my laptop. To see whether the binary was compatible with my system, I ran as root
20%
28.11.2021
Compiler: Apple LLVM 12.0.5 (clang-1205.0.22.9) GCC 4.2.1 CLANG 12.0
Darwin : 20.4.0 : Darwin Kernel Version 20.4.0:
PageSize:16KB
Apple M1 8C8T
RAM size: 16384 MB, # CPU hardware threads: 8
RAM usage
20%
14.09.2021
$(find /sys/devices/system/cpu -regex ".*cpu[0-9]+/topology/thread_siblings_list") | sort -n | uniq
0,32
1,33
2,34
3,35
4,36
5,37
6,38
7,39
8,40
9,41
10,42
11,43
12,44
13,45
14,46
15,47
16,48
17,49
18,50
19,51
20,52
21,53
22,54
23,55
24,56
25
20%
12.09.2013
=$dbh->prepare('select burncpu(?)');
12 $sth->execute((($ENV{QUERY_STRING}+0) || .5).'s');
13
14 while( my $row=$sth->fetchrow_arrayref ) {
15 print "@$row\n";
16 }
Workaround
The script is simple, but the attentive