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Top Forums UNIX for Advanced & Expert Users Conflicts in the output of TOP command Post 302751679 by rbatte1 on Friday 4th of January 2013 09:52:35 AM
Old 01-04-2013
This would suggest that you are on a multi-processor system and the process running is multi-threaded to take advantage of the hardware. You will only get up to 100% per processor, but they will be totted up for a multi-thread process.

Do you have 40 processors or more?

The other potential is for a process that is started during the time that top is taking it's sample. If it takes 0.1 seconds for top to collect everything and a process starts after 0.09 seconds but still gets collected, I have seen that skew the figures momentarily.

Perhaps from the command line, you could use vmstat 2 2 at the time and find the CPU counts there for the whole machine. You can also:-
Code:
ps -ef | sort -n +3

... on older unix servers to get the busiest process at the bottom of the list and you can check if it is newly started. The sort would change to:-
Code:
ps -ef | sort -k4


I hope that this helps.

Robin
Liverpool/Blackburn
UK
This User Gave Thanks to rbatte1 For This Post:
 

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PSORT(3)						   BSD Library Functions Manual 						  PSORT(3)

NAME
psort, psort_b, psort_r -- parallel sort functions SYNOPSIS
#include <stdlib.h> void psort(void *base, size_t nel, size_t width, int (*compar)(const void *, const void *)); void psort_b(void *base, size_t nel, size_t width, int (^compar)(const void *, const void *)); void psort_r(void *base, size_t nel, size_t width, void *thunk, int (*compar)(void *, const void *, const void *)); DESCRIPTION
The psort(), psort_b(), and psort_r() functions are parallel sort routines that are drop-in compatible with the corresponding qsort() func- tion (see qsort(3) for a description of the arguments). On multiprocessor machines, multiple threads may be created to simultaneously per- form the sort calculations, resulting in an overall faster sort result. Overhead in managing the threads limits the maximum speed improve- ment to somewhat less that the number of processors available. For example, on a 4-processor machine, a typical sort on a large array might result in 3.2 times faster sorting than a regular qsort(). RESTRICTIONS
Because of the multi-threaded nature of the sort, the comparison function is expected to perform its own synchronization that might be required for data physically outside the two objects passed to the comparison function. However, no synchronization is required for the two object themselves, unless some third party is also accessing those objects. Additional memory is temporary allocated to deal with the parallel nature of the computation. Because of the overhead of maintaining multiple threads, the psort() family of routines may choose to just call qsort(3) when there is no advantage to parallelizing (for example, when the number of objects in the array is too small, or only one processor is available). Like qsort(3), the sort is not stable. RETURN VALUES
The psort(), psort_b() and psort_r() functions return no value. SEE ALSO
qsort(3) Mac OS X Nov 25, 2008 Mac OS X
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