18%
21.08.2014
't connect to $remote_host:$remote_port: $@ \n";
17
18
19 while() {
20 my @lavg = Sys::CpuLoad::load();
21 my $ts=time();
22 print $socket "system.loadavg_1min $lavg[0] $ts\n";
23 print $socket "system ... 22
18%
30.11.2020
, this code should make sense.
Listing 7
Parallel Trapezoid Method
01 from mpi4py import MPI
02 import math
03
04
05 def f(x):
06 return x*x
07 # end def
08
09
10 def trapezoidal(a, b, n, h
18%
18.07.2013
proxy_intercept_errors on;
17 ...
18 Filming location
19 ...
20 error_page 502 @ fallback;
21 proxy_next_upstream HTTP_500 http_502 http_503 http_504 timeout error invalid_header;
22 proxy_pass http
18%
10.04.2015
]
20 }
21 ]
22 }
23 ]
24 }
The script that performs the rsync operation, sync.sh, will look like Listing 3. Your script might be more complex (e.g., by adding some sort
18%
01.06.2024
is 20x because only 95 percent of the algorithm can execute in parallel (compute the fraction 1/20 from that 5% number). That limitation led to a search for embarrassingly parallel
algorithms
18%
07.11.2011
print str(id) + ' Total waste of CPU cycles!'
08
09 if '__main__' == __name__:
10
11 for i in xrange(20):
12 Process(target = waste, args = (i,)).start()
The counting.py
program delays
18%
13.12.2018
_64 3/4
19 Verifying : bzip2-1.0.6-13.el7.x86_64 4/4
20
21 Installed:
22 mssql-server.x86_64 0:14.0.3026.27-2
23
24 Dependency
18%
17.06.2017
type for variable "a"
18 type(my_struct) :: a
19 ! ...
20 write(*,*) "i is ",a%i
21
22 ! Structures (variables) of the the derived type my_struct
23 type(my_struct) :: data
24 type
18%
05.08.2024
.Exit(1)
15 }
16
17 run(os.Args[1])
18 }
19
20 func row() {
21 for i := 0; i < size; i++ {
22 for j := 0; j < size; j++ {
23 array[i][j]++
24 }
25 }
26 }
27
28
18%
11.02.2016
19
20 mysql> CREATE TABLE `data_random` (
21 `id` CHAR(32) NOT NULL,
22 `data` VARCHAR(64) DEFAULT NULL,
23 `ts` TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
24
