100%
    
    
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         "ps -ef|grep apache\r
76 www-data   555 23171  0 Oct07 ?        00:00:00 /usr/sbin/apache2 -k start\r
77 www-data   556 23171  0 Oct07 ?        00:00:00 /usr/sbin/apache2 -k start\r
78 www-data   557
    
 
		    
				        
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        -switched voluntarily
  
  x
  
  Exit status of the command
  
Listing 3
Page Faults
$ /usr/bin/time gcc test.c -o test
0.03user 0.01system 0:00.07elapsed 70%CPU (0avgtext+0avgdata 25088
    
 
		    
				        
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        "."EUR_VALUE">=10)
26 3 - access<+>6<+>( "S"."SALE_DATE">TRUNC(SYSDATE@!)
27 -INTERVAL'+00-06' YEAR(2) TO MONTH)
1  The explain plan for command only stores the execution plan in the PLAN_TABLE.
2  The DBMS
    
 
		    
				        
    92%
    
    
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        , the problem of writing a dump to an MD RAID or transferring larger kernel images ultimately proved unfixable.
Further attempts with Netdump (Red Hat) or Diskdump [3] in 2002 and 2004 also had only moderate
    
 
		    
				        
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        /loadavg/ [3]:
1.00 0.97 0.94 1/1279 7743
The three additional numbers provided by Linux are the number of running processes (one in this case), the total number of processes, and the last process ID (PID
    
 
		    
				        
    91%
    
    
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           ADDRESS
           [Cut first seven hops for brevity]
           8   10.59 so-4-2-0.mpr3.pao1.us.above.net (64.125.28.142)
           9   11.00 metro0.sv.svcolo.com (208.185.168.173)
           10  9
    
 
		    
				        
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         [3] to solving the questions. Although not the most efficient or fastest method for solving the problem, it does illustrate how one can use OpenMP to parallelize applications.
I will be using
    
 
		    
				        
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        .
Enterprise-Level Features
Btrfs is a copy-on-write (COW) filesystem. Whereas a filesystem like ext3 logs block changes in a journal, Btrfs always writes changes to a block at a new location on the disk
    
 
		    
				        
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         will provide sub-par performance. A deeper treatment of these issues can be found in a recent article called "Will HPC Work in the Cloud?" [3].
Finally, any remote computation scheme needs to address